• leadership
    AI并非裁员元凶：财富100强陷入“解雇—再招聘”循环，250亿美元换不来AI转型 美国财富100强的裁员潮与AI关系不大。报告分析了超过一万条招聘信息，发现仅有11%的岗位提及AI，6%要求具体技能。过去一年，这些企业共裁员8.6万人，但又在2025年7月新增5.8万个职位。所谓的“解雇—再招聘”循环让企业仅在2024年就支付了250亿美元的遣散费，平均每节省1美元，实际支出却高达1.27美元。 在AI热潮席卷全球的当下，企业大规模裁员似乎成了数字化转型的必经之路。但来自 Orgvue 的最新研究却揭示了一个令人意外的事实：AI并不是驱动裁员的核心力量，美国财富100强企业正陷入一场高成本、低回报的“Fire-to-Hire（解雇—再招聘）”循环。 一、AI“高声量、低落地”：仅一成岗位提及AI Orgvue 对财富100强企业最新招聘信息的分析显示，在所有岗位中，仅有 11% 提及AI，其中仅 6% 明确要求具体AI技能或平台经验。换句话说，大多数企业在招聘层面并未显现出对AI能力的迫切需求。 行业差异同样显著： 科技行业的AI需求最高，占比 26%； 金融与医疗行业分别仅为 9% 和 8%； 非管理岗位仅 8% 要求AI技能，而总监级以上职位则高达 18%。 这一结果揭示出一个趋势：AI素养正成为决策层的“战略语言”，而非一线员工的“执行工具”。 Orgvue 首席产品官 Jessica Modrall 指出： “AI 技能的真实需求远低于市场想象。企业似乎尚未明确AI究竟能在哪些岗位、哪些场景中真正创造价值。” 她补充说，AI 投资在实践中“屡屡令人失望”，暴露出雄心与落地之间的巨大断层。 二、裁员不是AI的结果，而是效率幻觉的代价 过去一年，48家财富100强企业共裁员86,000人，但其中 46家又在2025年重新招聘。仅2025年7月，这些企业就新增了 58,000个职位。 Orgvue 将此现象定义为“Fire-to-Hire Cycle”——一种表面上削减成本、实则代价高昂的循环。报告显示： 2024年财富100强企业仅遣散费支出就达 250亿美元； 扩展至财富500强，总额高达 430亿美元； 平均而言，企业每节省1美元人力成本，反而要额外支出 1.27美元 的隐性成本（包括招聘、培训与生产力损失）。 这意味着所谓“AI驱动的精简”并未带来效率提升，反而使企业在重组中不断失血。 Jessica Modrall 评论道： “AI经常被用作裁员的理由，但缺乏对岗位、技能与工作内容的数据洞察，企业实际上是在丢失宝贵的组织记忆与知识资产。” 三、“AI取代人类”是误解，企业更倾向招募年轻可塑性人才 研究还发现，64% 的新招聘岗位面向工作经验不足5年的候选人，其中近一半为基层岗位。这意味着AI并未消灭初级职位，反而让企业更青睐“灵活、学习能力强”的新生代劳动力。 然而，只有 24% 的招聘信息提及职业发展机会，18% 未公开薪资区间，显示企业更关注“短期补位”而非“长期培养”。这种策略虽然能降低薪资支出，却可能削弱企业的知识沉淀与文化连续性。 四、行业画像：AI需求冷热不均，文化与灵活性成关键差异点 科技行业（Tech）：处于AI与文化双重引领地位。92% 的招聘岗位提到企业文化，70% 提供股权激励。 医疗行业（Healthcare）：以灵活工作模式和职业发展机会领先，42% 岗位支持远程或混合办公。 金融行业（Finance）：高层招聘比例最高（39%），但AI应用仍处早期，仅9% 岗位提及AI技能。 五、解读：AI不是“裁员导火索”，而是“转型信号灯” Orgvue 的研究为当前“AI导致大规模裁员”的论调泼下冷水。AI并未直接带来岗位消失，而是暴露出企业在组织规划与技能转型上的盲区。 真正的挑战不在于“AI取代人”，而在于“如何用AI重塑人”。企业若持续依赖短期的“裁员—补员”循环，而不建立系统性的人才与技能规划能力，将在AI浪潮中失去竞争力。 Modrall 总结道： “未来的关键，不是是否转型，而是你是否基于数据、有计划地转型。那些依赖直觉裁员、盲目重组的企业，正在为短期利益牺牲长期韧性。” AI并非洪水猛兽，也不是万能解药。真正的竞争优势来自于企业能否以数据为基础进行劳动力洞察，找到“技术—人—组织”三者的最优平衡点。在AI时代，管理者的任务不再是裁掉人，而是设计出让“人+AI”协同创造价值的新工作体系。
    leadership
    2025年10月30日
  • leadership
    David Green: The best HR & People Analytics articles of February 2025 2025年2月的 Data Driven HR Monthly 深入探讨了影响未来HR战略的关键趋势，涵盖了混合办公、AI驱动的技能管理、组织设计以及人力资源分析的最新发展。 麦肯锡提出了一种全新的HR运营模式，强调**“人力资源战略家、数据科学家和技术专家”** 的三位一体架构，以增强HR的战略影响力。同时，世界经济论坛（WEF）发布了**《全球技能分类法工具包》**，推动企业采用通用的技能语言，以提升人才管理能力。 另一个重要议题是任务智能（Task Intelligence），TechWolf的研究表明，企业应关注员工实际执行的任务，而不仅仅是他们具备的技能。这种方法有助于精准规划人才需求、优化招聘和培训，并挖掘自动化机会，以提升企业效能。 此外，混合办公和多样性、公平性、包容性（DEI）等议题正日益被政治化。美国最新数据表明，2025年1月仍有29%的工作日为远程办公，但企业对重返办公室（RTO）的讨论持续升温。随着AI的发展，HR部门如何平衡企业需求与员工期望，将成为未来几年最重要的挑战之一。 本期还关注了HR科技市场的发展，例如Gartner对2025年首席人力官（CHRO）的三大战略优先事项，以及AI在HR转型中的应用案例。对于希望在人力资源管理中充分利用数据和科技的HR领导者来说，本期内容不容错过！ February is supposed to be the shortest month but the 2025 version felt conspicuously long. We may be living in a post-truth world but it is an irrefutable fact that it was Ukraine that was invaded just over three years ago by 150,000 Russian troops. The Ukrainian people - and Volodymyr Zelenskyy - need to be supported not disparaged. Compiling this month’s edition of the Data Driven HR Monthly proved to be a welcome distraction from geopolitics, even if two hitherto work topics that are increasingly being politicised - hybrid work and diversity, equity and inclusion - feature prominently. Other selections include a fresh take on the HR operating model from McKinsey, which is founded upon a strategic triumvirate of people strategists, people scientists, and people technologists. Look out also for a Global Skills Taxonomy toolkit from the World Economic Forum, as well a list of 20 global people analytics influencers, which was compiled using active ONA data. Enjoy! This edition of the Data Driven HR Monthly is sponsored by our friends at TechWolf Are we looking at skills the wrong way? AI and automation are reshaping work. By 2028, one-third of enterprise software will automate tasks and decisions (Gartner), and McKinsey estimates this could add 1.2% to annual GDP growth. Yet, 92% of HR leaders say (Gartner) they don’t have reliable data on the skills of their workforce. The challenge is clear: How do we ensure skills evolve as fast as work itself? Which skills actually drive business value? How can companies align business and talent strategies with real work? Most organizations track skills through self-reports, manager assessments, and outdated frameworks. An AI data layer like TechWolf revolutionizes that issue. But skills alone don’t tell the full story—tasks do. "Skills tell us what someone càn do, tasks tell us what they actually do" says Jeroen Van Hautte ?, TechWolf’s CTO & Co-Founder, "They explain why those skills are needed and what value they bring." So to understand skills, we need to understand work itself. That’s where Task Intelligence comes in. By analyzing real work data—from projects, collaboration tools, and enterprise systems—Task Intelligence connects skills to actual work, giving companies a real-time, unbiased view of workforce capabilities. Organizations using task intelligence to gain insights in the skills of their workforce can: Plan workforce needs with confidence Target learning & development where it matters Improve hiring by focusing on real skills Identify automation opportunities to free up time for high-value work Curious to see how task intelligence and AI-powered skills insights are shaping the future of work? Dive into our latest insights: ? How TechWolf Bridges Skills and Work ? Exploring the Task-Skill Connection TechWolf helps large enterprises understand the skills they have, the skills they need, and how to manage the gap in between—powered by AI. To explore how TechWolf’s AI can help your organization, reach out at hello@techwolf.ai or visit techwolf.ai. To sponsor an edition of the Data Driven HR Monthly, and share your brand with more than 140,000 Data Driven HR Monthly subscribers, send an email to dgreen@zandel.org. FEBRUARY ROAD REPORT In the last week of February, I had the privilege of chairing the second People Analytics World event in Zürich, which Ralf Buechsenschuss perfectly captures in his key takeaways and learnings.  Thanks to Barry Swales and his team for organising a great two days. From Zürich, I am now heading to New York where Jamie Nevshehir and his team at NBC Universal are hosting a peer meeting for members of the Insight222 People Analytics Program®. It promises to be an enthralling two days with more than 70 people analytics professionals attending and a line-up of speakers including: Dawn Klinghoffer, Geetanjali Gamel, Anshul Sheopuri and Jeremy Shapiro. Also in March, I’m looking forward to delivering keynotes at HiBob’s Heartcore HR Live event in London on March 13, as well as the Workhuman Live Forum, also in London on March 19. I hope to see some of you there. February also saw the acquisition of eqtble by Paradox - congrats to Adam Godson, Gabe Horwitz, Joseph Ifiegbu and all concerned. Share the love! Enjoy reading the collection of resources for February and, if you do, please share some data driven HR love with your colleagues and networks. Thanks to the many of you who liked, shared and/or commented on January’s compendium. If you enjoy a dose of curated learning (and the Digital HR Leaders podcast), the Insight222 newsletter: Digital HR Leaders newsletter is usually published every other Tuesday – subscribe here – and read the latest edition. HYBRID, GENERATIVE AI AND THE FUTURE OF WORK PHIL KIRSCHNER - McKinsey On Return To Office: Leaders Are Focused On The Wrong Thing | AARON DE SMET, BROOKE WEDDLE, BRYAN HANCOCK, MARIN MUGAYAR-BALDOCCHI, AND TAYLOR LAURICELLA - Returning to the office? Focus more on practices and less on the policy | NICK BLOOM - There are lies, damned lies and statistics | NICK BLOOM - The Future of Working from Home Leaders must stop obsessing over where work gets done and start improving how it gets done. February’s edition of the Data Driven HR Monthly has to start with this debate on RTO and hybrid. As Phil Kirschner’s article in Forbes explains, McKinsey has been publishing the findings of its ‘talent trends’ research through six studies since 2021. He observes that one clear trend has emerged: “The tension between where employees work and how effectively work gets done has been growing.” The latest McKinsey study finds that there was a surge in RTO from 2023 to 2024, with the proportion of mostly in-person workers (those working in person at least four days a week) doubling to 68 percent, from 34 percent in 2023. In his LinkedIn post citing Mark Twain’s infamous quote, Nick Bloom, who tracks work arrangements and attitudes monthly – see wfhresearch.com – questions the McKinsey data, explaining why he believes it is flawed and has both recall and sample biases. Bloom provides alternative data sources, which find that in January 2025, 29% of paid days in the US were work-from-home days (see FIG 1). Bloom’s supposition is that McKinsey may have felt pressurised by clients that want the narrative that work from home is failing in the media. One hopes that’s not the case, particularly as the main message the authors of the McKinsey article (Aaron De Smet, Brooke Weddle, Bryan Hancock, Marino Mugayar-Baldocchi and Taylor Lauricella) appear to be making is that: “The working model is far less important than the work environment leaders create.” They highlight five core practices to help firms implement a policy that fits their culture: collaboration, connectivity, innovation, mentorship, and skill development (see FIG 2). With the increasing politicisation – and even weaponisation by the new US Administration - of work topics such as flexible working and DEI, expect more debates like this as the year continues to unfurl. FIG 1: About 29% of Paid Days in the US in January 2025 Were Work-From-Home Days (Source: WFH Research) FIG 2: Employees’ ratings of their organization’s maturity in five practices by working model (Source: McKinsey) CALLUM MCRAE AND SAMUEL BAMIDELE - Redefining workplace flexibility: Harmonizing corporate culture and employee satisfaction | KIM PARKER - Many remote workers say they’d be likely to leave their job if they could no longer work from home | BRIAN ELLIOTT, ANNIE DEAN, AND KEVIN OAKES – Navigating the Return-to-Office, Hybrid and Remote Landscape Three more resources to help readers of the Data Driven HR Monthly navigate the latest research, challenges and discussions on flexible working. (1) Callum McRae and Samuel BAMIDELE present the key findings from WTW’s 2024 Workplace Flexibility Pulse Survey. One finding is that while 50% of 1,200 companies who participated in the study have policies in place requiring employees to be in the office for two to four days per week, the actual number of in-person days per week is lower (see FIG 3). (2) Similar to the WTW study, which also highlights the risk of employee attrition if companies fail to balance employer and employee needs, Kim Parker presents data from the Pew Research Center, which finds that nearly half of workers who currently work from home some of the time would likely leave if they were no longer able to do so (see FIG 4). (3) Finally, I highly recommend tuning into a recent The Institute for Corporate Productivity (i4cp) webinar, which saw Brian Elliott, Annie Dean, Kevin Oakes, and host Tom Stone get into the complexities of RTO, hybrid and remote work strategies. Topics covered included workplace design, how AI can augment human potential, and how blanket RTO mandates erode trust and engagement. FIG 3: In-office-days required vs. actual by country (Source: WTW) FIG 4: Source: Pew Research Center HANNAH MAYER, LAREINA YEE, MICHAEL CHUI, AND ROGER ROBERTS - Superagency in the workplace: Empowering people to unlock AI’s full potential Almost all companies invest in AI, but just 1 percent believe they are at maturity. The biggest barrier to scaling is not employees—who are ready—but leaders, who are not steering fast enough. Inspired by Reid Hoffman’s book Superagency, this new report from McKinsey asks a similar question: How can companies harness AI to amplify human agency and unlock new levels of creativity and productivity in the workplace? Perhaps the standout conclusion is that employees are ready for AI but that the biggest barrier to success is leadership. The report is presented in five chapters. (1) An analysis of the rapid advancement of technology over the past two years and its implications for business adoption of AI. (2) The attitudes and perceptions of employees and leaders, with the former three times more likely than leaders realise to believe that AI will replace 30 percent of their work in the next year. (3) An examination of the need for speed and safety in AI deployment, with half of employees worrying about AI inaccuracy and cybersecurity risks. (4) A look at how companies risk losing ground in the AI race if leaders do not set bold goals. (5) Guidance on what is required for leaders to set their teams up for success with AI: “The challenge of AI in the workplace is not a technology challenge. It is a business challenge that calls upon leaders to align teams, address AI headwinds, and rewire their companies for change.” Finally, the article poses three questions each for leaders and employees to meet their AI future (see FIG 5). If you enjoy the article, I also recommend diving into AI in Action, an interactive four-part learning journey featuring Reid Hoffman and Lareina Yee, one of the authors of the McKinsey report. (Authors: Hannah M. Mayer, Lareina Yee, Michael Chui, and Roger Roberts). FIG 5: Questions to shape a company’s AI future (Adapted from McKinsey) FELIPE JARA - The Reality Check: Making AI in HR Actually Work While 75% of organisations are still in early stages of AI adoption, those taking a systematic, process-led approach will see remarkable results - from 40% efficiency gains to fundamental transformations in how HR operates. In his comprehensive and illuminating article, Felipe Jara analyses AI transformation in HR, breaking it down into four sections: (1) The Reality Check, which examines some of the barriers holding HR back: capability, financial constraints, delivery limitations, and technology. (2) The Process Revolution, examining the promise. With cases studies from the likes of Mastercard, IBM and Stanford Health Care, and how AI can augment the employee lifecycle (see FIG 6). (3) The Maturity Journey, which presents a maturity model from Deloitte and provides guidance on how to move forward. (4) The Implementation Framework, presenting a four-step approach to enabling AI in HR. FIG 6: The AI-Augmented Talent Lifecycle (Source: Felipe Jara) PEOPLE ANALYTICS ANDREW PITTS, MATTHEW DIABES, RICHARD ROSENOW AND STEPHANIE MURPHY - Top 20 People Analytics Influencers and more from the PANC Whilst I always appreciate being included on ‘influencer’ lists, most are wholly subjective and compiled using little or no data. This makes the People Analytics Network Census (PANC), all the more interesting. The initiative, which is the brainchild of Andrew Pitts, Matthew Diabes, PhD, Richard Rosenow and Stephanie Murphy, Ph.D., uses active organisational network analysis to map the global people analytics network. The results, which are based on more than 450 participants, are presented in five groups: (1) Top 20 Overall People Analytics Influencers, (2) Top 3 Networking Influencers, (3) Top 3 Mentorship Influencers, (4) Top 3 Technical Influencers (5) Top 10 Influencers from Outside of the United States. It’s a real honour to be included in the first list. Congrats to all those selected – many of whom I count as friends, colleagues and inspirations: Al Adamsen, Alexis Fink, Amit Mohindra, Andrew Pitts, Cole Napper, Dave Ulrich, Dawn Klinghoffer, Heather Whiteman, Ph.D., Ian OKeefe, John Boudreau, Josh Bersin, Mark H. Hanson, Michael Arena, Michael M. Moon, PhD, Patrick Coolen, Richard Rosenow, Rob Cross, Stacia Sherman Garr, Stephanie Murphy, Ph.D., Annika Schultz, Barry Swales, Greg Pryor, Lexy Martin, Michelle Deneau, Kevin Erikson, Kevin S., Michael Walsh, PhD, Adam McKinnon, PhD., David Shontz, Jaap Veldkamp, Kinsey Li, Leopoldo Torres, Ludek Stehlik, Ph.D., Martha Curioni, Rafael Uribe, Sanja Licina, Ph.D. MCKINSEY - What makes product teams effective? In episodes of the Digital HR Leaders podcast with leaders such as Ian OKeefe (here) and Aashish Sharma (here), we’ve talked about the importance of productisation in people analytics. Moreover, Insight222’s 2024 People Analytics Ecosystem study found that ‘analytics at scale’ teams (those teams that turn an insight, prediction, or algorithm into a product) have emerged as a core capability in the people analytics function of Leading Companies. As such, this article by Santiago Comella-Dorda, Vik Sohoni, Arun Sunderraj, Dan Gardner, and Lauren Gingerich McCoy for McKinsey is required reading for people analytics leaders. They analysed data from 1,700 teams, to measure how five capabilities (strategy, structure, people, process, and technology) impact four main outcomes (effectiveness, speed, productivity, and quality). This article focuses on the key capabilities required for three sub-outcomes of effectiveness: (1) Delivery predictability, (2) Value realisation (see FIG 7), and (3) Team engagement. FIG 7: The ten key capabilities of value realisation in product teams (Source: McKinsey) HELEN FRIEDMAN - Early Trends Influencing People Analytics Agendas In 2025 | BEN BERRY - The Rise of External Talent Intelligence as a Strategic Priority | DAVID BOYLE - Beyond Build-Buy-Borrow: "Blend" Emerges as a Pillar of Workforce Strategy | HESHAM AHMED - The three pillars of competitive advantage in data & analytics In each edition of the Data Driven HR Monthly, I feature a collection of articles by current and recent people analytics leaders. These are intended to act as a spur and inspiration to the field. Four are highlighted in this month’s edition. (1) Helen Friedman walks through three topics shaping many current people analytics agendas: workforce planning, AI in relation to skills and pay equity, and using data to drive decisions around turnover, pay and managing uncertainty. (2) Ben Berry explains why the use of external talent intelligence data by organisation is rising sharply, how they’re using this data and what we can expect to see in the future. (3) David Boyle writes on the emergence of ‘blend’ as a fourth pillar of workforce planning: “Workforce strategy and AI strategy have the potential to trip over each other if they are not synchronized.” (4) Hesham Ahmed outlines three ways data and analytics can drive competitive advantage: superiority of information, insight and action (see FIG 8): “Superiority of action: it is not sufficient to know something that others don’t. It is the ability to act on that information or insight that leads to an advantage or edge.” FIG 8: Three pillars of competitive advantage in data and analytics (Source: Hesham Ahmed) THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE ASMUS KOMM, FERNANDA MAYOL, NEEL GANDHI, SANDRA DURTH, AND JASMIN KIEFER - A new operating model for people management: More personal, more tech, more human Organizations that excel in both people development and financial performance are four times as likely as peers to outperform financially and one and a half times as likely as peers to remain top tier year on year. In the last three years, the most popular resource I have shared on LinkedIn, with over 1m views is McKinsey’s 2022 article, HR’s new Operating Model. The sequel is likely to drive just as much interest. In this article, which I was grateful to be invited to contribute to, the McKinsey team of Asmus Komm, Fernanda Mayol, Neel Gandhi, Sandra Durth, and Jasmin Kiefer explore a new vision of people management, centred on hyper-personalising the employee experience. Their findings conclude that that only about 20 percent of the most strategic activities in today’s HR portfolios will remain with two-thirds of current HR tasks being automated to a large degree (see FIG 9). They also outline the core elements of the operating system required to turn their vision into reality encompassing (1) Establishing a strategic triumvirate of people strategists, people scientists, and people technologists, (2) Streamlining the people operating model: more strategic, more fluid, and more tech-enabled (see FIG 10), and (3) Mastering complexity with technology. The authors also set out concrete steps organisations can take to implement a new people operating system. These steps include the need to experiment, a focus on continuous improvement and an onus on scaling what works. FIG 9: Two-thirds of today’s people management processes can be largely automated (Source: McKinsey) FIG 10: The future operating model for people management will be more strategic, fluid and tech-enabled (Source: McKinsey) GARTNER - Top 3 Strategic Priorities for Chief HR Officers CHROs are navigating a complex landscape shaped by several key trends. CEOs prioritizing growth through transformation, AI deployment challenges and shifting labor market pressures on talent strategies are influencing how the best organizations are leading HR to achieve business goals. New research from Gartner identifying the three top CHRO focus areas for 2025: (1) Elevating HR’s impact on the organisation’s growth strategy. (2) Building a deep bench of change leaders. (3) Creating a future-ready workforce. The report provides a deep-dive on the three priorities with guidance and methodologies on how to drive success in each, such as the Talent Risk Assessment Heat Map (see FIG 11). The report also contains a powerful section on the new capabilities required by chief people officers (see FIG 12) and HR professionals. A must-read. FIG 11: Example Talent Risk Assessment Heat Map (Source: Gartner) FIG 12: Model of a World-Class CHRO (Source: Gartner) DAVE ULRICH AND ROBERT DAVID - How HR Can Help Deliver Both Market Share and Customer Share through Human Capability The evidence shows that when HR engages customers in talent, organization, leadership, and HR department initiatives, both market share and customer share improve. What role can chief human resources officers play in helping their organisations to increase customer share while building market share? In their article, Dave Ulrich and Robert David outline five specific steps CHROs can take, which together demonstrate how HR can move from its traditional support role to help drive customer relationships and business growth: (1) Identify targeted customers – focus human capability investments on these. (2) Track customer share. (3) Define customer connection. (4) Engage with target customers (see FIG 13), and (5) Change HR conversations. For more on why and how HR professionals can increase their engagement with customers, do listen to Dave in discussion with Stacia Garr and me on this episode pf the Digital HR Leaders podcast: How HR Can Create Stakeholder Value and Drive Organisational Growth. FIG 13: Ways to connect and engage with customers (Source: Dave Ulrich and Robert David) WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS WORLD ECONOMIC FORUM - Global Skills Taxonomy Adoption Toolkit: Defining a Common Skills Language for a Future-Ready Workforce Skills and talent shortages are critical challenges hindering economic growth, limiting business opportunities, and curbing individual potential. As technology rapidly advances and economic landscapes continue to shift, a common skills language is urgently needed to bridge gaps and enable workforce transformation. The World Economic Forum is spoiling us thus far in 2025. Not content with publishing the barnstorming Future of Jobs 2025 report, they have also released the Global Skills Taxonomy Adoption Toolkit, which will be a boon for workforce planners and people analysts everywhere. The toolkit is designed to equip leaders with actionable steps, evidence-based insights, and real-world case studies to adopt a common skills language and embed skills-first approaches into talent management strategies. Contents include (1) reasons for adopting a common skills taxonomy, (2) a Global Skills Taxonomy roadmap comprised of three phases (see FIG 14), and (3) key insights and methodologies for implementing each phase. Kudos to the authors - Neil Allison, Ximena Játiva, and Aarushi Singhania along with a stellar cast of contributors including Peter Brown MBE, Simon Brown ??, Shannon Custard, Soon Joo Gog, Kelli Jordan, and Jan Meyer. FIG 14: Global Skills Taxonomy adoption roadmap (Source: World Economic Forum) EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING IT SURVEY GROUP - The Future of Feedback: Trends Shaping Employee Listening in 2025 AI and technology advancement are game changers for the listening and survey space. They will allow us to synthesize and interpret data – particularly qualitative data – with unprecedented speed and complexity What are the key trends shaping the evolution of employee listening? Who better to ask than practitioners at the forefront of this important work. In their article, members of the IT Survey Group – including Megan Sherman, Ph.D., Kristin Saboe, Ph.D., Sophie Horneber, Anthony Ariano, Caitie Jacobson Mikulis, David Koch, Kellie Roberts, M.A., Stephanie Andel, PhD, and Robyn Petree-Guzman, Ph.D. present five trends shaping employee listening in 2025 (see FIG 15): (1) Supercharging sentiment, (2) “Silent” signaling, (3) Synergising surveys, (4) Guiding greatness, and (5) Refining the rhythm. FIG 15: Top five trends for employee listening (Source: IT Survey Group) NICK LYNN - Proactive Accountability: Turning Employee Insights into Action Proactive accountability is more than just a practice — it’s a cultural commitment to transforming insights into meaningful action. It thrives on clear ownership, well-defined goals, and unwavering transparency. Nick Lynn uses the concept of ‘proactive accountability’, which is commonplace in health and safety work, to solve the habitual challenge of turning insights gathered from employee listening work into meaningful actions (see FIG 16). Nick examines some of the common challenges from moving from insight to action such as the lack of a framework to prioritise feedback, slow decision-making, and poo communication. He explains why proactive accountability matters and how to foster it including developing a structured framework, assigning clear ownership, setting measurable goals, leveraging technology, building a community of change leaders, and celebrating success. FIG 16: Proactive accountability (Source: Nick Lynn) LEADERSHIP, CULTURE, AND LEARNING DARRELL RIGBY AND ZACH FIRST – The Power of Strategic Fit Companies that excel at creating stakeholder value attract and retain the most valuable stakeholders, gaining a competitive advantage. In their article for Harvard Business Review, Bain partners Darrell Rigby and Zach First how to create a cohesive strategy that unleashes the power of ‘strategic fit’, which they define as: “Strategic fit is the degree of alignment and amount of synergy in a company’s business system.” They identify seven strategic factors: (1) the mental model, (2) purpose and ambitions, (3) stakeholder value creation, (4) macro forces, (5) markets and products, (6) competitive advantages, and (7) the operating model. They explain how aligning them generates beneficial multiplier effects, and – especially relevant for HR and people analytics professionals – demonstrate how creating value for employees and other stakeholders leads to higher returns (see FIG 17). FIG 17: Strategic Fit Leads to Higher Returns (Source: Bain) ANNE MCSILVER | LINKEDIN – Workplace Learning Report 2025: The rise of career champions Learning combined with career development — leadership training, coaching, internal mobility, and more — accelerates the flow of critical skills to keep pace with business needs The key theme of LinkedIn’s Workplace Learning Report 2025 is that the 36% of companies categorised as ‘career development champions’ (those companies with robust programs that yield business results) enjoy positive correlations with profitability outlook, confidence to attract and retain talent, and increased adoption of GAI. The report, with lead author Anne McSilver, features contributions from a host of talent leaders including: Vidya Krishnan (“The companies that outlearn other companies will outperform them.”), Chris Louie, Chris Foltz, Jennifer Shappley, Al Dea and Amanda Nolen (“You must be able to answer at least one of these three questions: How will this initiative help you to make money, save money, or mitigate risk for the company.”). The report also presents five talent foundations designed to accelerate career-driven learning: (1) Build the right skills, faster (see FIG 18). (2) Help people – and skills – move more easily. (3) Measure business impact. (4) Empower managers to support employee careers. (5) Inspire individual career growth. Thanks to Jennifer Gronski for making me aware of the report. FIG 18: Skills-based talent and career development champions (Source: LinkedIn) DIVERSITY, EQUITY, INCLUSION AND BELONGING STACIA GARR - Understanding the Impact of Recent DEI Executive Orders | KENJI YOSHINO, DAVID GLASGOW, AND CHRISTINA JOSEPH - The Legal Landscape Around DEI Is Shifting. Your Messaging Should, Too | JOSH BERSIN - Despite Political Firestorm, Diversity Investments Are Alive And Well | JOELLE EMERSON - Continuing the Work of DEI, No Matter What Your Company Calls It | While DEI the acronym may be on the decline, the work itself will remain vital for organizations that want to thrive today and in the future. President Trump’s two executive orders (EOs) to “end radical and wasteful” Diversity, Equity, Inclusion and Accessibility initiatives, and litigate up to nine private companies as examples have set off a hailstorm of amazement and uncertainty. From what I’ve come across to date, here are some resources I recommend consuming: (1) Stacia Sherman Garr of RedThread Research was one of the first out of the blocks with a very helpful summary of the EOs and their implications. (2) Kenji Yoshino, David Glasgow, and Christina Joseph from the NYU School of Law’s Meltzer Center for Diversity, Inclusion, and Belonging, set out best practices on communicating about DEI, offer some sample language to avoid legal risk, and share strategies to disseminate these best practices throughout your organisation. (3) Josh Bersin offers a glimmer of hope in his article, first by highlighting organisations like Apple, Microsoft and JP Morgan that have all come out publicly against anti-DEI initiatives, and second by emphasising that rather than turning away from DEI, many companies are instead “embedding DEI into the disciplines of leadership, recruitment, performance management, and rewards.” (4) Joelle Emerson presents findings from a study by Paradigm, The State of Culture and Inclusion: 2024 Trends and a Look Ahead at 2025, which outlines three ways companies should consider shifting their approach to DEI: resetting the narrative, using data more effectively, and moving from siloed efforts to an embedded company-wide focus on creating cultures that work for everyone. HR TECH VOICES Much of the innovation in the field continues to be driven by the vendor community, and I’ve picked out a few resources from February that I recommend readers delve into. In a slight change-up this month, I’ll start with a couple of pieces that analyse the people analytics and wider HR technology market: FRANZ GILBERT AND MATTHEW SHANNON - How agentic AI is changing HR dynamics in 2025 – Deloitte's Human Capital Forward team of Franz Gilbert and Matthew Shannon unveil six trends that will likely change how humans and technology work together in the year ahead. Their first prediction is that: “Improved macroeconomic factors will drive increased investment and transactions in the HR technology market.” MERCER - The 2024/2025 Skills Snapshot Survey report – The Mercer team of Brian Fisher, Melba Gant, Katie Jenkins, ?Heather Ryan, and Peter Stevenson unveil the findings from their skills snapshot survey. One of the main findings is that the number of organisations attaining a high or very high level in skills maturity has increased significantly compared to 2023 (see FIG 19). FIG 19: Skills maturity across organisations in talent practices, 2024 vs 2023 (Source: Mercer) PHILIP ARKCOLL - How to get people to care about your insights – Philip Arkcoll, CEO at Worklytics, provides a five-step guide to help organisations turn insights from people data into meaningful outcomes. JOHN GUY AND GARETH FLYNN - Simply Skills Chat: SWP, Tasks, AI, Skills and HR – John Guy and Gareth Flynn explore how HR can take advantage of the latest data, toolsets and mindsets to advance the field and drive business value. LOUJAINA ABDELWAHED - Remote Companies Grow Twice as Fast – Loujaina Abdelwahed, PhD presents analysis by Revelio Labs, which finds that workforce growth in companies offering remote and hybrid work arrangements has outpaced that of in-person firms (see FIG 20). FIG 20: Remote and hybrid companies have grown twice as fast as in-person companies (Source: Revelio Labs) PODCASTS OF THE MONTH In another month of high-quality podcasts, I’ve selected five gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below): HEATHER BUSSING – Navigating Trump’s DE&I Executive Orders: Clarity – In a must-listen episode of Workplace Stories, Heather Bussing joins Stacia Sherman Garr and Dani Johnson to unpick the recent executive orders on DE&I, what they mean for businesses, and how employers can navigate this complex landscape without overreacting. JEFFREY PFEFFER – Is Work Killing Us? – “An employer can be a good steward of the human beings whose lives have been entrusted to them — or not,” explains Jeffrey Pfeffer, author of Dying for a Paycheck, to host Kevin Cool, in this powerful episode of the if/then podcast from Stanford Business School. MARC EFFRON - The Science of Talent, 8 Steps to High Performance – Marc Effron joins Cole Napper and Scott Hines, PhD of the Directionally Correct podcast for an absorbing discussion covering topics such as why top I/O psychology Ph.D. programs aren’t more practitioner focused, as well as Marc’s two recent articles: “It’s not the mortar, it’s the bricks” and “Is the juice worth the squeeze”. RICHARD ROSENOW – Reimagining HR: Leveraging AI and Data for Better Outcomes – Richard Rosenow guests on the Capital H podcast with Kyle Forrest to discuss the role of data quality, governance, and AI in enabling HR teams to focus on strategic insights and drive business outcomes. DEBORAH PERRY PISCIONE - Employment Is Changing Forever – Sharing insights from her new book with Josh Drean, Employment is Dead: How Disruptive Technologies are Revolutionizing the Way We Work, Deborah Perry Piscione joins host Alison Beard on HBR IdeaCast to explain why we’re at a pivot point where old models of employment will be replaced by entirely new ones, and how mindset shifts and upskilling can help us prepare. VIDEO OF THE MONTH NAOMI VERGHESE, MADHURA CHAKRABARTI, AND DAVID GREEN | INSIGHT22 – People Analytics Trends Webinar Hopefully, I’ll be excused the mild dose of self-indulgence here, but this month’s ‘Video of the Month’ is the recent webinar I hosted with Naomi Verghese and Madhura Chakrabarti, PhD on the key findings of fifth annual Insight222 People Analytics Trends report. The webinar includes a deep dive on the four main findings of the study, which include insights on the impact of AI on people analytics, how leading companies measure the value of their work, and what we’ve identified as the adoption gap in people analytics. BOOK OF THE MONTH SERENA HUANG - The Inclusion Equation: Leveraging Data & AI For Organizational Diversity and Well-being Serena H. Huang, Ph.D.’s debut book is incredibly well-timed given the current assault on diversity, equity and inclusion. The Inclusion Equation provides a compelling guide to merging DEI and wellbeing initiatives with people analytics and AI to deliver outcomes for employees – and the business. As I wrote in my endorsement of the book: “The Inclusion Equation acts as a guide for chief people officers to harness data, analytics and technology to create a truly inclusive and healthy environment where workers can thrive.” RESEARCH REPORT OF THE MONTH KYLE LAGUNAS - Unlocking AI’s Potential in HR: A Practical Guide for Leaders This new report from Kyle Lagunas and the team at Aptitude Research is certainly worth a read. It features insights from seasoned HR thinkers and executives like Bob Pulver, Manjuri Sinha, Dustin Cann, and Meghan Rhatigan as well as a practical framework – impact, complexity, and risk - for assessing AI use cases, helping HR and operations professionals cut through the hype and so making smarter technology decisions. FIG 21: Adoption of AI in HR is slowing, but interest isn’t (Source: Aptitude Research) BONUS RESOURCES Some bonus resources to also consume this month: I don't anyone is writing with more quality or consistency on the impact of AI on work and on HR than Jason Averbook read one of his latest pieces, Thriving, Not Just Surviving, in an AI-First World, and then - if you haven't already - subscribe to his Now to Next Substack. Adam Bryant’s Strategic CHRO newsletter is always required reading as his recent interviews with Ellyn Shook (CHROs Must Never Forget That They Are The Voice Of The People On The C-Suite Team) and Peter Fasolo, Ph.D. (You Have To Be Curious About How All The Levers Work In Large-Scale Social Systems) ably demonstrate. Dr Tomas Chamorro-Premuzic asks Can AI Fix Succession Planning? and highlights how passive data can be used to help predict leadership success: “The work of David Stillwell, Sandra Matz and Michal Kosinski demonstrates how AI can infer personality traits and leadership potential from digital footprints, as well as internal company data not historically seen as critical to leadership talent.” In a recent edition of his This Week, In Recruiting newsletter, Hung Lee asks is Elon Musk an existential threat to HR, and presents six compelling arguments to suggest he might be. After reading Hung’s piece, readers may wish that Musk is handed a one-way ticket to mars. Thomas Otter is one of my favourite writers, and in The difficult second album: Advice for HR TECH vendors on launching a second product uses The Stone Roses sophomore album, The Second Coming (actually, a very good album) as a warning for HR Tech vendors intent on launching a second product. Tom Redman and Donna Burbank explain how by mixing together some training, providing an opportunity to speak up, and having better KPIs, leaders can hone a data driven culture: How to Make Everyone Great at Data. In his article, Laurent Reich provides five learnings to make the Corporate Sustainability Reporting Directive (CSRD) and opportunity for HR: CSRD: HR's Burden or Breakthrough? Turning Compliance into Opportunity: 5 learnings. FROM MY DESK February saw the final two episodes of series 44 the Digital HR Leaders podcast, sponsored by our friends at TalentNeuron (thanks to John Lynch, David Wilkins, Maureen McGinness, and the TalentNeuron team). It also saw a special bonus episode featuring my colleagues from Insight222, and the first episode of series 45, sponsored by our friends at Amazing Workplace, Inc. (thanks to Shon Holyfield). HENRIK HÅKANSSON - What People Analytics Leaders Need to Know About Scaling Their Function – Henrik Håkansson, who has built people analytics functions at three companies: Sony, Delivery Hero, and now Volvo Cars, joins me to share practical insights from his journey—what worked, what didn’t, and the lessons he’s learned on scaling people analytics along the way. TOBIAS BARTHOLOMÉ – How Lufthansa Group Combines Operational and Strategic Workforce Planning - Dr. Tobias Bartholomé, Project Lead for Strategic Workforce Planning at Lufthansa Group, joins me to explore why—after nearly a decade—Lufthansa has taken a bold step back to reimagine how it plans for the future of work. JONATHAN FERRAR AND NAOMI VERGHESE - How Leading Companies Turn People Analytics Into Business Value – In a special bonus episode of the Digital HR Leaders podcast, I was joined by my Insight222 colleagues Jonathan Ferrar and Naomi Verghese to uncover what truly differentiates leading companies in people analytics, and what research tells us about the evolution of the field over the last five years. ERIN MEYER - How to Bridge Cultures and Lead Global Teams for Success – Erin Meyer, Professor at INSEAD and author of The Culture Map: Breaking Through the Invisible Boundaries of Global Business joins me for a conversation exploring how cultural differences shape the way we work, lead, and collaborate. DAVID GREEN - How do you leverage People Analytics to inform Strategic Workforce Planning initiatives? – A wrap up of series 44 of the Digital HR Leaders podcast, which featured conversations with Stacia Sherman Garr, Dave Ulrich, Prasad Setty, David Wilkins, Henrik Håkansson, and Dr. Tobias Bartholomé, and featured the common question: How do you leverage People Analytics to inform Strategic Workforce Planning initiatives? LOOKING FOR A NEW ROLE IN PEOPLE ANALYTICS OR HR TECH? I’d like to highlight once again the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which – as Richard’s latest newsletter reveals - now numbers over 500 roles. Look out too for Richard’s People Analytics Talent Book. THANK YOU The team at 365Talents for including me in their Top 50 HR influencers to follow in 2025 Mila Pascual-Nodusso for including the Digital HR Leaders podcast in her list of the Top 6 Spotify Podcasts on Human Resources, Talent Management, and Leadership Development. Neeru Monga for also including the Digital HR Leaders podcast on a list of her seven favourite podcasts. Steve Hunt for concluding after running a ChatGPT summary of the January edition of the Data Driven HR Monthly, that my version “is far more informative, interesting, and enjoyable even if it does take more time to read.” I won’t hang up my cap, just yet then ;-) Hirex for including me as one of 10+ influential experts you need to follow in 2025 Thinkers360 for including me in their list of Top 100 B2B Thought Leaders, Analysts & Influencers You Should Work With In 2025 (EMEA). Finally, a huge thank you to the following people who either shared the January edition of Data Driven HR Monthly and/or posted about the Digital HR Leaders podcast, conferences or other content. It's much appreciated: Thomas Kohler, Steve Sands, Christian Vetter ??, Ashish Pant, Stela Lupushor, Jo Thackray, Elin Thomasian, Guusje Brummer, Russell Flint, Kevin Le Vaillant, RJ Milnor, Ben Berry, Sewmini Amanda, Malinda Perera, Terri Horton, EdD, MBA, MA, SHRM-CP, PHR, Nesimi Akgul, Charlotte Copeman, Amardeep Singh, MBA, Diego Miranda, Jeff Wellstead, Dr Philip Gibbs, Amber O'Mahony, David Simmonds FCIPD, Sachin Sangade, Thiago Pimentel Pinto, Robin Haag, Susan Podlogar (she/her), Torin Ellis, Scott Reida, Catriona Lindsay, Kris Saling, Graham Tollit, Aravind Warrier, Jacob Nielsen, Swechha Mohapatra (IHRP-SP, SHRM-SCP, CIPD), Lewis Garrad, Viktoriia Kriukova (Вікторія Крюкова), Ying Li, Marc Steven Ramos, Danielle Farrell, MA, Greg Pryor, Jose Luis Chavez Vasquez, Michel Ciampi, Jacqui Brassey, PhD, MA, MAfN ?️ (née Schouten), Till Alexander Leopold, Richard Bretzger, José Valdivieso, John Golden, Ph.D., Kathleen Kruse, Kyle Forrest, Matthew Hamilton, Asaf Jackoby, David McLean, Dave Millner, Ben Waber, Ravin Jesuthasan, CFA, FRSA, Federico Bechini, Rebecca Ray, Aizhan Tursunbayeva, PhD, GRP, Tobias W. Goers ツ, Andrew Spence, Michelle Lee ?, Alex Franco, MHRM, Destin Cacioppo, Anisha Aulbach, Megan Reif, Dolapo (Dolly) Oyenuga, Kirsten Edwards, Kimberly Rose, Amanda dos Reis Garcia, Paola Alfaro Alpízar, Anna Kjellberg, Lucie Vottova, Kouros Behzad, Alexis Vergani, Francesca Gabetti, Brandon Roberts, Delia Majarín, Peter Ryan, John Gunawan, Sergio Garcia Mora, Dan George, Gal Mozes, PhD, Chris Long, Ohad Geron, Ryan Wong, Raja Sengupta, Pedro Pereira, Nikita D'Souza, Timo Tischer, Dave Fineman, Monika Manova, Shuang Yueh Pui, PhD, Holly Kortright (she-her), Hanne Hoberg, Andrés García Ayala, Arne-Christian Van Der Tang, Daisy Grewal, Ph.D., Nicolas Quadrelli, Erik Otteson, Bejoy Mathew, Stephen Hickey, Agnes Garaba, Gawain Wang, Emanuele Magrone, Maria Ursu, Marc Caslani, Dan Lapporte, Patrick Coolen, Ian Grant FCIPD, Joonghak Lee, Jaejin Lee, David Balls (FCIPD), Craig Starbuck, PhD, Mariami Lolashvili, Mattijs Mol, David Elkjær, Marie-Hélène Gélinas, MBA (Cand.), Aurélie Crégut, Nick Hudgell, Teodora Staneva, Sonia Mooney, Elizabeth Esarove, Søren Kold, Moïra Taillefer, Monika Mardaus, Tina Peeters, PhD, Ken Clar, Maria Alice Jovinski, Marcela Mury, Toon van der Veer, Madeline Cedeno, Marc Voi Chiuli. (MSc. HRM. Assoc CIPD. MIHRM.), Herbert Burri, Alexander S. Locher, Ava Dossi, Anna Kuzmenko ABOUT THE AUTHOR David Green ?? is a globally respected author, speaker, conference chair, and executive consultant on people analytics, data-driven HR and the future of work. As Managing Partner and Executive Director at Insight222, he has overall responsibility for the delivery of the Insight222 People Analytics Program, which supports the advancement of people analytics in over 100 global organisations. Prior to co-founding Insight222, David accumulated over 20 years experience in the human resources and people analytics fields, including as Global Director of People Analytics Solutions at IBM. As such, David has extensive experience in helping organisations increase value, impact and focus from the wise and ethical use of people analytics. David also hosts the Digital HR Leaders Podcast and is an instructor for Insight222's myHRfuture Academy. His book, co-authored with Jonathan Ferrar, Excellence in People Analytics: How to use Workforce Data to Create Business Value was published in the summer of 2021. MEET ME AT THESE EVENTS I'll be speaking about people analytics, the future of work, and data driven HR at a number of upcoming events in early 2025: March 13 - HiBob Heartcore HR LIVE, London March 19 - Workhuman Live Forum, London April 10-11 - Wharton People Analytics Conference, Philadelphia April 29-30 - People Analytics World, London May 6-8 - UNLEASH America, Las Vegas June 4-6 - TALREOS (Talent Analytics Leadership Roundtable Economic Mobility Summit), Chicago July 31 - August 1 - People Matters TechHR India 2025, Delhi October 21-22 - UNLEASH World, Paris More events will be added as they are confirmed.
    leadership
    2025年03月02日
  • leadership
    Despite Political Firestorm, Diversity Investments Are Alive And Well Josh Bersin 发表文章：尽管政治压力和社会对多元化与包容性（DEI）计划的批评日益加剧，许多公司依然重视相关投资。这些企业将DEI从单独的HR计划融入到领导力、绩效管理和招聘战略中，形成了更加全面的文化建设方式。在员工对企业领导层信任度下降的背景下（如Edelman信任晴雨表指出的68%员工认为CEO不诚实），信任、透明和公平已成为企业文化的核心要素。 企业如今更注重绩效文化，通过构建基于能力与高绩效的包容环境，吸引各年龄、性别及种族的优秀人才。杰米·戴蒙等领导者已公开表示支持DEI，证明高绩效与包容性是现代企业成功的关键。尽管DEI独立职能角色在减少，但相关实践已经深度融入企业运营。各行业的领先企业正通过这种方式实现快速转型和增长，进一步强调了DEI对企业文化和绩效的重要性。 下面是全文，请欣赏： As the WSJ has reported extensively, companies like Harley Davidson, Tractor Supply, Walmart, and McDonalds are publicly pulling back on DEI programs, largely under pressure by political activists. Fueled by the supreme court’s striking down of affirmative action in 2023, there is a political movement to dismantle the “social justice” movement that took hold in corporate HR departments. Now, driven by the new administration, the Federal Government is “ending radical and wasteful” government DEI programs. And the executive order is asking the Justice Department to litigate up to 9 private companies as examples. As a part of this plan, each agency shall identify up to nine potential civil compliance investigations of publicly traded corporations, large non-profit corporations or associations, foundations with assets of 500 million dollars or more, State and local bar and medical associations, and institutions of higher education with endowments over 1 billion dollars. Of course this has created a firestorm of debate, and many companies are doing away with dedicated DEI roles in HR. But our research, which includes discussions with many dozens of Chief HR Officers, heads of recruitment, and others, finds that the investments are alive and well. Here’s where I sense we are. While DEI and pay equity programs have been around since the 1960s (companies like Coca Cola and Google have been sued for gender and racial pay inequities), the topic got out of hand. Post George Floyd, which was a traumatic event in the United States, companies went overboard with training and messaging about social justice, oppression, micro-aggression, and other uncomfortable topics. Many programs included discussions of topics like “white fragility,” “intersectionality,” “oppression,” and other social topics. While this was trending in the media, many employees told us these programs made them uncomfortable. In a country like the United States (I just got back from two weeks in South Africa, where these issues are front and center) where we have a long history of immigration and diversity, this topic has been debated for hundreds of years. I worked at IBM during the days of affirmative action (1970s and 1980s) and my personal experience was very positive. Black and Asian professionals were actively recruited and promoted at IBM during my tenure and I have fond memories of IBM as a company with a powerful culture of “respect for the individual” (IBM’s motto). (Read Thomas Watson’s 1963 manifesto: it’s a bit gender-biased but remains relevant today. Watson, the founder of IBM, talks extensively about equity between white and blue collar work, fair wages and benefits, and opportunities for all. Note that IBM is one of the only tech companies that has survived more than 100 years so these principles have served the company well.) Now that we’ve entered a business focus on productivity, AI, and technology transformation, companies want to build a culture of meritocracy, skills, leadership, and internal mobility. The #1 issue we hear from CHROs and CEOs is “how do we transform our company faster?” Sitting around to debate diversity targets or DEI agendas just doesn’t feel important. That said, as we discuss regularly with leaders in every industry, CEOs and CHROs are very concerned about corporate culture. The new Edelman Trust Barometer describes a shocking drop in trust among workers. More than half of all employees believe CEOs are overpaid and 68% believe they lie on a regular basis. So cultural topics of inclusion, fairness, and respect are extremely important. (The Edelman research even points out that 40% employees believe that hostile activism against their employer is acceptable (violence, property damage, social media attacks). So building a culture of trust, transparency, and listening remains essential. And that’s why culture still matters. As I discuss in our research “The Rise of the Superworker,” (and PwC’s 2025 CEO survey also points this out), companies that transform faster make more money. And transformation, regardless of the technology behind it, is always dependent on people. So when we read about corporate transformations at companies like Boeing, Intel, and Nike, we know that there are always issues of culture. Where does the DEI agenda now fit? As I talk with leaders around the world, it has clearly not gone away. Today, rather than focus on representation targets or social issues, companies are embedding their focus on meritocracy within the business, moving it out of the world of an “HR program.” And this, despite the political backlash, is a good thing. As even Robby Starbuck points out, every leader believes in meritocracy. We want our teams to reward high performance and encourage everyone to learn, grow, and advance in a fair way. DEI, which became a standalone mission of its own, is now a part of “building a culture of performance,” and that means respecting high performance among all genders, races, disabilities, and ages. It means creating a culture of psychological safety where people can speak up, and it means being crystal clear with feedback, accountability, and behaviors we value. Finally, let me celebrate the public statement by Jamie Dimon, one of the most respected CEOs in the world. When asked about DEI activists at the World Economic Forum, he answered “bring them on, we’re proud of what we do.” While much of the political focus against DEI seems to focus on “moving companies to the right,” I think the real trend is quite different. Leaders and HR departments are taking the high-profile DEI agenda and embedding it into the disciplines of leadership, recruitment, performance management, and rewards. And even today, as Lightcast data shows, there are more than 7,000 DEI roles posted for hire. The highest performing companies in the world are inclusive and fair by nature – that’s why high-performers want to work there. Let’s let “DEI” as an HR agenda move aside, and move the topic back into the business of leadership where it belongs. (Listen to real-world case studies in The Josh Bersin Academy or browse all our DEI research in Galileo.)
    leadership
    2025年01月27日
  • leadership
    超级员工的崛起 -The Rise of the Superworker: Delivering On The Promise Of AI 《超级员工的崛起》研究报告揭示了AI如何深刻改变工作场所与工作方式。随着AI技术融入工作流程，传统工作模型被重新定义，AI正助力“超级员工”以创新的方式提升生产力和创造力。 报告指出，企业若想在AI时代中保持竞争力，必须重新设计工作与组织模式。首先，需要通过AI实现任务自动化并提高工作效率；其次，推动工作流程的整合，利用智能代理提升整体生产力；最后，培养员工适应变化的能力，推动动态化的工作环境。 AI并不是简单地取代工作，而是通过赋能实现员工能力的跃升。例如，一些企业利用AI快速生成培训计划，将原本需要数月的工作缩短为数天。报告也强调，随着AI成为“同事”，全新岗位将随之出现，如知识库维护员、AI数据隐私与伦理管理者等。 为了迎接这一变革，报告提出了五大关键战略：重新设计工作与组织模式，构建动态人才模型，调整薪酬与绩效体系，加强以人为本的领导力，以及加速系统性HR®的转型。只有将技术与人的因素完美结合，企业才能成功实现AI转型。 报告强调，AI的核心并非技术，而是通过创新推动人与组织的共同成长。1月28日的发布会将深入剖析这些趋势与战略。 We’re excited to launch our groundbreaking research “The Rise of the Superworker,” a deep dive into the impact of AI on the future of work. As our hallmark research for the year, it defines the roadmap for leadership, technology, and HR. (Register for the launch webinar on January 28.) The Workforce and Workplace Environment We are entering a year of political change, economic disruption, and changing labor markets. As I discussed recently (The Tumultuous Year Ahead), the world is experiencing talent shortages in front-line and blue collar work (US unemployment remains at 4.1%) while white-collar employment is softening. CEOs are investing in AI in a quest for productivity and workers are asking to be retrained. And many core values (diversity and inclusion, pay equity, remote work) remain challenging. Companies believe that AI will transform their business, so investment in technology is exploding. Yet as history tells us, this “trillian dollar AI-based re-engineering” effort is about people, not technology. As the research points out, the AI revolution, as exciting as it feels, is all about redesigning the way we get things done. And that lands in the laps of HR: how we redesign, reskill, and redeploy people in a world of highly intelligent systems. Understanding The Superworker and The Superworker Company Let’s start with the basics. Companies are filled with business processes, tools, and job models designed around traditional people-centric work. Every job function, from sales to marketing to manufacturing, has been designed around the old-fashioned job families of the past. In other words, we’ve run our companies as “people machines.” We design a set of jobs and job families, then hire, train, and promote people to grow. This model creates a sprawling company filled with skills challenges, people wanting promotion, and fragility as the business goes through change. The digital revolution, which defines the last 27 years of transformation, did speed things up. It automated many processes and opened up the ideas of self-service, e-commerce, and direct consumer transactions. But it didn’t fundamentally change how companies are organized: rather it accelerated the processes we had. Suddenly, with AI everything is different. As the most intelligent and data hungry technology ever, AI stands to integrate and redefine every business process and “superpower” every employee. And this shift, toward copilots, agents, digital twins, and intelligent platforms, forces us to rethink how we’re organized, what we do, and what we define as a “job.” We are building a company of Superworkers. What exactly is a “Superworker?” A Superworker is an individual who uses AI to dramatically enhance their productivity, performance, and creativity. As routine work gets automated, AI has the potential to empower everyone, eliminating some roles while empowering many others. A “Superworker company” is an organization that embraces this transformation, building a culture of adaptability where people reinvent themselves. Our new Dynamic Organization research shows that such change-ready companies outperform their peers by six-times. Just as Superman Clark Kent learned to channel his powers, we must learn to harness AI for individual and team performance. This means not just automating existing tasks, but rethinking how work gets done, empowering people to do more, and creating opportunities for growth. The Historical Perspective: From Automation to Autonomy We’ve seen waves of automation before, but this time it’s different. In the past we used machines to automate the work of craftsmen and tradespeople. A welder, farmer, or shoemaker had his or her expertise built into a machine so their craft could scale at low cost. The expert didn’t go away, rather he or she helped design the machine. AI does the same for white collar work. Writers, analysts, marketers, and sales people are now superpowered, leveraging their skills to drive scale. AI will not replace these special individuals: it empowers them to scale and expand their impact. But in the case of AI we go further: it doesn’t just automate tasks; it becomes a co-worker itself: listening, learning, reasoning, and acting. So new and better jobs are created, designing, training, and managing the AI. And the shift to Superworker happens everywhere: from the retail clerk to the nursing supervisor to the senior executive. The New Corporate Imperative: Redesign Work and Jobs This transformation won’t happen without effort. Today, as AI systems still mature, our challenge is not implementing AI, but redesigning jobs, and business processes around AI. And that’s why success with AI is a people problem, not a technology one. And if you don’t get this right, your AI transformation will lag. Academic studies show that 45% of change management programs fail, and 72% of the reason is “people resistance.” So consider this: For each dollar spent on machine learning technology, companies may need to spend nine dollars on intangible human capital,” Erik Brynjolfsson wrote in 2022, citing research by him and others. Consider the four stage model below, where we look at “current jobs” vs “re-engineered jobs” on the horizontal, and level of output on the vertical. AI transformation begins with assistance, then moves to augmentation, then to work replacement and then to autonomy. The level of performance improvement goes up exponentially. This process of rethinking business processes takes time. When electricity was invented companies replaced horse-driven machines with motors. Decades later engineers realized we could redesign the entire manufacturing process by integrating the entire supply chain. The same will happen again. We may start by automating emails and data access, but over time we build “digital twins” and configurable agents to manage entire projects and business processes. One of our clients built an entire platform that can interview stakeholders, import documentation, build training programs, and publish training and certification programs by AI. Humans are still needed, but now they’re the “super-curators” and “craftsmen” perfecting the product. New programs that took 3-6 months can be generated in a few days. This kind of redesign is now being used for claims analysis, sales enablement, RFP generation, and workplace design. (Our report 100 Use Cases For Galileo explains dozens of such solutions available now for HR.) The Work Redesign Challenge How do we get there? Business and HR teams work together, following these stages. Improve efficiency at current job: Use AI to make existing work more efficient: same job as before, new tools to make it easier. Examples include an office worker using MS Copilot. Automate tasks to increase scale: An engineer uses AI to write code. A marketer builds videos and campaigns automatically. An HR manager rapidly builds job descriptions or analyzes performance. Integrate processes to improve productivity: Agents now handle multiple connected steps. A retail clerk automatically checks out customers; a nurse uses a machine to monitor dozens of patients and make diagnostics; an HR manager builds learning programs in minutes. Leverage autonomy for more: The AI manages multi-step processes (customer service, candidate communications, recruiting, campaign design) and the people “manage” the digital employee. This creates four types of Superworker: An Example: The HR Business Partner Consider the role of HR Business Partner (HRBP), a complex job that’s constantly changing. An HR business partner (HRBP) equipped with AI like Galileo™ can automatically analyze turnover, productivity, individual performance, and leadership potential. The AI HR Agent can help compare job candidates against multiple requirements. Analysis, coaching, and hiring speed goes up, and the HRBP is now a Superworker. Then the transformation continues. What if we give the AI to managers. Do we need the HRBP at all? (IBM has made this step.) Yes, now the HRBP manages the AI. Just as Wayze may drive you automatically, someone behind the scenes is monitoring your trip to help you when things go wrong. This “Superworker” job is the upgraded role of the HRBP. AI As A Job Creation Technology Many new jobs will be created. Who maintains the knowledge base that feeds the AI? Who ensures data privacy and security? Who handles the ethical issues that arise? Who monitors the AI to make sure it’s trained well? And once these multi-step digital employees exist, who will manage them? These are new Superworker jobs. Five Imperatives for 2025 How do we make this transition a success? Here are five key imperatives detailed in our study: Redesign Work, Jobs, and Organizational Models: Focus on the customer, how success is measured, then apply AI. This is what we call “productivity-based job design”. Deconstruct work into activities, evaluate AI solutions, and determine the human role alongside AI, using the models above. Create a Dynamic Talent Model: The traditional “prehire to retire” model is becoming obsolete. We need a more dynamic approach where people move across roles and projects. Prioritize internal mobility and foster a culture of growth. Focus on “doing more with what we have” by upgrading the productivity of our existing workforce. Focus on building “talent density“. Rethink Pay, Rewards, and Performance: Move from traditional pay models to “systemic rewards,” based on role, skills, and output. New roles may warrant higher pay, not lower. (Lightcast sees a $45,000 premium for workers with AI skills.) Refine Leadership and Culture: Focus on human-centered leadership: this is a time of change. Ensure leaders understand AI, foster innovation, and focus on productivity, not headcount. Start co-design projects in every functional areas. Get line employees involved in transformation efforts. Accelerate the Shift to Systemic HR®: HR must operate in a consulting role. Integrate HR silos, develop a change-enablement team. Experiment with AI tools in HR and train the HR team about AI. Let me give you an example. One of our large clients, a healthcare company, created a “transformation enablement” team in HR that does co-design workshops throughout the business, helping with process redesign, role design, job changes and pay and rewards changes. They built a set of tools and methodologies which are well established. HR professionals rotate into this team for education. Every HR function should set up “AI transformation teams” like this. AI isn’t here to replace us; it’s here to empower us. How To Get The Research and Learn The Rise of the Superworker predictions report is available to all users of Galileo™, The Josh Bersin Academy, or Corporate Members. (A Galileo Pro membership is only $39 per month, and JBA membership is $49 per month.) If you want to learn more and follow our ongoing case studies, briefs, and AI tools, download the Rise of the Superworker Overview today. You will be registered for regular updates. And please register for our launch webinar on January 28 where I will detail this entire story. The Superworker era has arrived, join us in the journey!
    leadership
    2025年01月16日
  • leadership
    The best HR & People Analytics articles of December 2024 The December edition of the Data Driven HR Monthly is an opportunity to reflect on the year that is about to pass into history and look forward to what lies ahead. 2024 has proved to be another tumultuous year of geopolitical tension, economic uncertainty, and upheaval in the world of work. Perhaps for HR and people analytics it is a case of “in chaos, there is opportunity,” as we move into 2025. Enjoy this month’s collection of resources, and to all readers who are taking a break over the festive season, I wish you Happy Holidays, and a prosperous and healthy 2025. Thank you to everyone who has supported Insight222, the Digital HR Leaders Podcast, and the Data Driven HR Monthly in 2024. It means a lot and is much appreciated. This edition of the Data Driven HR Monthly is sponsored by our friends at TechWolf Task Intelligence: rethink work, redefine skills Work happens at the task level, where skills meet action. But are your skills aligned with the work that drives impact? TechWolf has proven that bridging the gap between tasks and skills is the key to workforce transformation. By applying Task Intelligence within our own teams, we’ve unlocked measurable results: $76,000 saved in productivity gains by automating repetitive tasks. Freed up time for strategic, high-value work. Reshaped hiring strategies by focusing on the skills that truly matter. At TechWolf, we believe that getting close enough to the work being done is the key to doing skills right. As our own 'customer zero'; we’ve put our AI to the test, integrating it with JIRA to analyze and optimize our work processes. The results speak for themselves in our first Task Intelligence Impact Case: $76,000 saved in productivity gains by automating repetitive tasks. Freed up time for strategic, high-value work. Reshaped hiring strategies to focus on the skills that truly matter. What is Task Intelligence? It’s a new way to connect real-time task data with workforce skills to: Identify tasks that drive the most value. Adapt skills as work evolves. Streamline processes and unlock productivity. As Jeroen Van Hautte ?, TechWolf CTO, says: Skills tell us what people can do. Tasks show us why it matters. Task Intelligence brings it all together. ? Discover Task Intelligence ? Insights from the Experts: Explore how Gina Jeneroux, MBA FLPI, Chief Skills & Innovation Officer at Executive Networks, is helping organizations move beyond learning to embed skills strategies into their business. ? Read Gina’s interview The future of work demands more than adapting—it demands leading. Task Intelligence is how you get there. To sponsor an edition of the Data Driven HR Monthly, and share your brand with more than 140,000 Data Driven HR Monthly subscribers, send an email to dgreen@zandel.org. What are the biggest opportunities for HR in 2025? HR’s role in creating a thriving workforce and organisation is the underlying theme of my recently published 12 Opportunities for HR in 2025 article (see FIG 1). I’m crowdsourcing the final two opportunities, so if you’d like to contribute suggestions for opportunities 11 and 12, please click here and add your suggestion in the comments. FIG 1: 12 Opportunities for HR in 2025 (Source: David Green) December Road Report The main event for December was the publication of the fifth annual Insight222 People Analytics Trends study, which was our biggest yet with 348 participating organisations. A summary of the key findings follows in the ‘People Analytics’ section below, but one is that 62% of companies told us that they were in the first year of their AI journey in HR. Click here to download the report, and see how the people analytics function in your company compares to ‘A Teams’ by taking the Leading Companies Diagnostic. I had the privilege of taking the findings from the study out on the road to two events in December. First, I delivered the opening keynote at Visier Inc. Outsmart Local in London, which also featured the likes of Nick Hudgell, Rosemary Byde, Kevin Metherell, and Neera Ridler-Mayor, AIA (see more here). The following week I was in Amsterdam for Workday Rising EMEA, where I was interviewed on stage by Phil Willburn, as well as delivering a keynote on the characteristics of People Analytics ‘A Teams’ (see more on Workday Rising here). 2024 seemed like the year when the 'in-person' event fully returned - and as such it proved to be a busy year on stage. I emceed Unleash World in Paris, People Analytics World events in Zurich, London, and New York, and the Insight222 Global Executive Retreat in Amsterdam. I keynoted at the three People Analytics World events, Workday Rising in Las Vegas and Amsterdam, Gloat Live in New York, the Deloitte Workforce Innovation Forum in Dallas, a Mercer/Corporate Research Forum event on Productivity, Purpose and Profit in London, and Visier Outsmart Local in London. I moderated panels at a number of these events as well as at Strategic HR Analytics MeetUp in New York. Share the love! Enjoy reading the collection of resources for December and, if you do, please share some data driven HR love with your colleagues and networks. Thanks to the many of you who liked, shared and/or commented on November’s compendium. If you enjoy a weekly dose of curated learning (and the Digital HR Leaders podcast), the Insight222 newsletter: Digital HR Leaders newsletter is published on Tuesday: subscribe here. 2024 REFLECTIONS HUNG LEE -  What Happened in Recruiting in 2024 - Part 1 | Part 2 | Part 3 | Part 4 | Don't be fooled by the title, Hung Lee's 2024 reflections covers topics much broader than recruiting, and contains a plethora of data, analysis and visualisations that should act as a guide for the year ahead too. Taking one highlight from each of the four-part series (and 20 reflections in total), I'd go with AI and Automation (Part 1), the re-emergence of Talent Density (Part 2), Atlantic Divergence on DEI - see FIG 2 (Part 3), and War on Middle Managers (Part 4). If you don't already follow Hung's twin newsletters, Recruiting Brainfood, and This Week in Recruiting, I highly recommend you do. FIG 2: Is DEI a 'good thing'? (Source: Pew Research Center) 2025 HR PREDICTIONS, TRENDS AND PRIORITIES STEVE HUNT - A guide to HR predictions, trends, and forecasts | ANDREW SPENCE - 5 Big Questions for Work in 2025 | DANIEL ZHAO - Glassdoor Worklife Trends 2025 | VISIER – Embracing the AI Driven Workforce: 5 Workforce Trends for 2025 | i4CP – 2025 Priorities and Predictions | LARS SCHMIDT - 7 ways HR will look different in 2025 | JOSH BERSIN - A Tumultuous Year Behind: A Challenging, Important 2025 A people analytics team cannot sit on the sidelines while AI is poised to transform the world of HR. If you don't embrace AI to surface insights and support data-driven decisions, you may miss out on the ability to scale decision intelligence Putting my own 12 Opportunities for HR in 2025 to one side, there are a plethora of other HR trends, predictions, and priorities being published. Here are seven resources that I recommend digging deeper into. (1) Firstly, Steve Hunt provides a helpful ‘buyer beware’ guide on eight lessons to consuming HR predictions, trends and forecasts, including a warning that most HR forecasts are designed to influence buying behaviour. (2) Despite being a Man United fan, Andrew Spence’s Workforce Futurist newsletter is one of the best around. In a recent edition, Andrew ponders five big questions for work in 2025 including: Is the office dead or just evolving (see FIG 3)? (3) Daniel Zhao presents five trends based on Glassdoor data including: Employers are investing in holistic wellbeing. (4) Visier Inc.’s five workforce trends for 2025 includes the need for organisations to build the backbone of data infrastructure to fully realise the promise of AI in HR and workforce topics, and features contributions from the likes of Dawn Klinghoffer, Eric Bokelberg (see quote above), Angela LE MATHON, Ryan Wong and Adam McKinnon, PhD. (5) As Kevin Oakes writes in his Foreword to The Institute for Corporate Productivity (i4cp)’s thoughtful annual look at the year ahead: “perhaps the safest prediction we can make is those who embrace agility will have much more success than those who resist change.” (6) Lars Schmidt takes his annual look at how HR is likely to evolve as a function in the year ahead, with my favourite of his seven being that "Learning and development will take center stage." (7) Josh Bersin looks back at a tumultuous 2024 to highlight the priorities for the year ahead in his big idea of 'Citizenship': "Our job in HR is to help our leaders and organizations practice this kind of citizenship. In a year of tumultuous change, Citizenship will serve us well." FIG 2: Office utilisation 2020-now (Sources: Andrew Spence, Nicolas BEHBAHANI) HYBRID, GENERATIVE AI AND THE FUTURE OF WORK BRIAN ELLIOTT - Five Hybrid Work Trends to Watch in 2025 | JOSE MARIA BARRERO, NICK BLOOM, SHELBY BUCKMAN, AND STEVEN J. DAVIS - SWAA December 2024 Updates | LYNDA GRATTON - Seven Truths About Hybrid Work and Productivity | BETH SCHINOFF, ASHLEY E. HARDIN, KRIS BYRON, AND RACHEL BALVEN - Research: How WFH Can Actually Strengthen Bonds Between Coworkers Forward-looking organizations will shift toward measuring performance based on results, not attendance As I wrote in 12 Opportunities for HR in 2025, HR has the opportunity to help their organisations elevate the conversation on hybrid working from where to how. With outliers like Amazon getting a lot of column inches about their decision to bring employees back to the office five days a week (although this move may not be working out well), HR leaders in other firms may come under pressure from their CEOs to follow suit. Five articles that can help resist this move are included here. (1) First, Brian Elliott outlines five hybrid work trends to look out for in 2025 including: “Organizations that embrace flexible work will steal talent from organizations that impose harsh return-to-office mandates.” (2) The latest data from Nick Bloom and his WFH Research team finds that only 44% of employees would comply if their company imposed a five-day return to office (compared to 53% in 2022), which suggests Elliott’s prediction is likely to be prescient. (3) Lynda Gratton unveils seven key findings from what she is seeing from experiments in hybrid working including: (i) Hybrid work is a continuum. (ii) Productivity is usually challenging — and measurement is always complex. (iii) It’s useful to view hybrid work as fundamentally a job design option. (4) Beth Schinoff, Ashley Hardin, Kris Byron, and Rachel McCullagh Balven present research that finds (contrary to beliefs that employees are able to form richer relationships in person than they can working remotely), remote work can actually make coworkers feel closer by giving them authentic glimpses into each others non-work lives through video calls. FIG 4: Compared to Fall 2022, Persons Who WFH 1+ Days/Week Are Less Willing to Comply With RTO Mandates (Source: WFH Research, December 2024) RASMUS HOUGAARD AND JACQUELINE CARTER - How AI Can Make Us Better Leaders In their article for Harvard Business Review, Rasmus Hougaard and Jacqueline Carter outline their research, which finds that AI can enhance and empower leaders, and actually help them to be more human. They explain why leaders need to focus on the core leadership qualities of awareness, wisdom, and compassion, as well as take on a both/and mindset. In this way, the “AI-augmented leader” can leverage both the power of AI and develop their most human qualities, bringing the best of both human and machine to their leadership practice. FIG 5: The AI Augmented leader (Source: Potential Project) PEOPLE ANALYTICS JONATHAN FERRAR, NAOMI VERGHESE, AND MADHURA CHAKRABARTI - Harnessing Data for Growth: The Impact of People Analytics Article | Full Report The fifth annual People Analytics Trends study was our biggest yet at Insight222, with 348 participating organisations. The four key findings were: (1) Growth: people analytics continues to expand in scope and investment. (2) Intelligent automation: the advent of GenAI has catalysed HR’s use of AI with people analytics at the core and central to AI strategy in HR. (3) Adoption crisis: the adoption of people analytics remains a challenge with a significant gap between the democratisation of people insights and data (71% of organisations) and a high-level of adoption within HR (47%) and outside HR (28%) – see FIG 6. (4) Value: measuring and demonstrating value is now essential for people analytics teams to increase their impact and drive greater ROI. Kudos to the authors: Jonathan Ferrar, Naomi Verghese, and Madhura Chakrabarti, PhD. Thanks too to the practitioners featured in the study: Adam Tombor (Wojciechowski), Peter Ryan, and Phil Willburn. FIG 6: Trends in the democratisation and adoption of analytics (Source: Insight222) RICHARD ROSENOW – People Analytics is Growing | People Analytics Roles Review Richard Rosenow devotes part of his monthly People Analytics Roles Update newsletter to data highlighting the growth of people analytics. He cites three sources: (1) The 30% increase in people analytics roles that Richard and the One Model team have tracked between 2023 and 2024. (2) The aforementioned Insight222 study, which found that the ratio of people analytics professionals to total employee headcount has improved from 1:4000 in 2020 to 1:2500 in 2024. (3) Data by Jason Saltzman at Live Data Technologies, which finds that both core and specialist people analytics roles are on the rise (see FIG 7). FIG 7: The growth of people analytics jobs (Source: Live Data Technologies) BENJAMIN ROGOJAN – Data Science v Data Engineering | PATRICK COOLEN – What Is Not People Analytics | PIETRO MAZZOLENI - The Power of Integration: Why People Data Thrives Within Enterprise Frameworks | JACKSON ROATCH - From Correlation to Causation: Levelling Up People Analytics with Econometrics | SCOTT REIDA - Transform Performance Evaluations with GenAI: Smarter Grading, Visual Insights, and Next Steps | CHRISTOPHER ROSETT – Storytelling: The Story Arc and The Journalist’s Pyramid In each edition of the Data Driven HR Monthly, I feature a collection of articles by current and recent people analytics leaders. These are intended to act as a spur and inspiration to the field. Six are highlighted in this month’s edition. (1) Thanks to Richard Rosenow for highlighting Benjamin Rogojan’s post, which may be the best explanation (and visualisation – see FIG 8) yet on why you need data scientists and data engineers in an effective analytics team. (2) Patrick Coolen provides a powerful list of what is not people analytics – my favourite is: “People Analytics is ??? about HR (only). It should be strongly focused on high impact business threats and opportunities.” (3) In a recent edition of his (excellent) People Data Platform newsletter, Pietro Mazzoleni explains how HR and people analytics leaders can increase their impact by integrating people data with broader organisational impacts. (4) Jackson Roatch outlines how people analytics teams can create more impact by adding econometric methods to its tools and capabilities. (5) Scott Reida explains how to use GenAI to transform employee performance evaluations from vague feedback into actionable insights. (6) Christopher Rosett breaks down two models – The Story Arc and The Journalist’s Pyramid (see FIG 9) – that can be used to underpin storytelling with data in different contexts. FIG 8: How data engineers and data scientists deliver value (Source: Benjamin Rogojan) FIG 9: The Story Arc and The Journalist’s Pyramid (Source: Christopher Rosett) THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE DAVE ULRICH - The Next Agenda for Human Resources: What’s So? So What? Now What? Evidence shows that organizational capability has 4x more impact on results than individual talent efforts alone - yet most of the HR field remains heavily focused on talent. Dave Ulrich provides some astute observations on the current state of the HR field, and concludes that most of the focus is on the talent domain of his human capability model (see FIG 10) and so on individuals rather than organisational capability. He then provides four ‘next agenda’ recommendations to shift the profession to creating stakeholder value through human capability: (1) Advance that HR is less about HR and more on creating stakeholder value. (2) Offer a complete human capability agenda and assessment. (3) Prioritise using analytics and AI. (4) Upgrading HR professionals. FIG 10: Human Capability Taxonomy (Source: Dave Ulrich) KENNETH KUK, DONALD DELVES, AND JOHN BREMEN - A Board Outlook on Effective Human Capital Governance Human capital governance can be an overwhelming subject for the board. They do not want to get stuck with minute detail about HR policies or programs. Best practice is for the board to focus their oversight on human capital areas most material to the business, either because they pose a significant risk or are a differentiator for competitive advantage. Kenneth Kuk, Don Delves, and John Bremen present the findings of WTW research into board prioritisation of human capital governance. Findings include: (1) Boards do not spend enough time on long-term strategic workforce planning. (2) Leadership succession and development, talent attraction and retention, and workforce planning and skills for the future were identified as the top three priority human capital topics. (3) Only one-third of board members agree that human capital governance is effective on their boards. (4) Boards do not spend enough time, nor do they receive the right level of information, to engage in meaningful and strategic discussions about human capital governance (see FIG 11). FIG 11: Boards do not spend enough time or receive enough information on human capital governance topics (Source: WTW, Directors & Boards) WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS WORLD ECONOMIC FORUM AND PwC - Leveraging Generative AI for Job Augmentation and Workforce Productivity: Scenarios, Case Studies and a Framework for Action The organizations quickest to adopt GenAI in their workforce are those that could be described as “data-driven” In their new report, the World Economic Forum and PwC present the findings of their study into how early adopters are leveraging GenAI across the workplace, the impact it is having, and the lessons they have learned along the way. The big takeaway is that they found that success depends as much on people as it does technology. Workers need to understand, trust and adopt GenAI. The report also presents four different scenarios for how the deployment of GenAI in organisations could play out (see FIG 12). With the recent Insight222 People Analytics Trends study finding that 62% of companies are in the first year of their journey with AI in HR, this report will be required reading. Credit to the authors: Adèle Jacquard, Isabelle Leliaert, Till Alexander Leopold, Shuvasish Sharma, Peter Brown MBE, Marlene De Koning, Kiera Thomas, and Astrid van der Werf. FIG 12: Four scenarios for the near future of GenAI (Source: PwC and World Economic Forum) THE BUSINESS ROUNDTABLE - Measuring the Impact of Skills-Based Talent Initiatives A helpful and practical guide from The Business Roundtable group of companies to help other organisations effectively implement skills-based hiring and talent management strategies. The report provides a blueprint for how to measure the success of skills-based talent strategies, which is comprised of four components: (1) Aligning on goals and selecting the right metrics to achieve them. (2) Enhancing internal data reporting (see sample balance scorecard in FIG 13). (3) Leveraging data for strategic change management. (4) Collaborating to report success at scale. Thanks to Brian Heger for highlighting in his Talent Edge newsletter. FIG 13: Measuring the impact of skills-based talent initiatives – sample balance scorecard (Source: The Business Roundtable) EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING SHARON K. PARKER AND CAROLINE KNIGHT - Design Work to Prevent Burnout Small, locally led work design changes can have a powerful effect on work quality. Employee burnout and disengagement is bad for business and bad for workers. A much better approach is to create healthier and more sustainable jobs through good work design. In their article, Sharon Parker and Caroline Knight, outline their SMART Work Design model (see FIG 14), which is designed to improve worker wellbeing and performance. The authors describe each of the five characteristics in the model, before emphasising that the first step in improving work design is to start with data: “The first step in improving work design is to assess its current state, using employee surveys, interviews, and observations. The most comprehensive assessment would incorporate all three.” They then provide guidance on five ways to use the model to drive positive collaboration between managers and their teams to: (1) Redesign teams' work, (2) Align people management systems, (3) Build leader capability for SMART work design, (4) Guide and evaluate operational change, and (5) Encourage and support employee job crafting. FIG 14: A model for making work smarter (Source: Sharon K. Parker and Caroline Knight) JACQUELINE BRASSEY, AARON DE SMET, AND DANA MAOR WITH SHEIDA RABIPOUR - Developing a resilient, adaptable workforce for an uncertain future To successfully move their business strategies forward, 21st-century leaders need an engaged and innovative workforce that can change course quickly, effectively, and fluidly. A recent study by the McKinsey Health Institute finds that when employees experience strong levels of organisational support, psychological safety, resiliency and adaptability, these are associated with high levels of engagement and innovation (see FIG 15). In their article, Jacqui Brassey, PhD, MA, MAfN ?️ (née Schouten), Aaron De Smet, Dana Maor, and Sheida Rabipour, PhD present a blueprint composed of four actions for leaders to develop their own capacity for change while in parallel fostering resilience and adaptability in the workforce: (1) Setting a North Star for the organisation. (2) Building a psychologically safe community, not just a workforce. (3) Ensuring that leaders themselves are resilient, adaptable, and can serve as role models. (4) Encouraging teams to build resilience and adaptability skills in groups. FIG 15: The relationship between organisational support, psychological safety, resilience and adaptability with engagement and innovation (Source: McKinsey) LEADERSHIP, CULTURE, AND LEARNING STEVEN LEVY - Relevance! Relevance! Relevance! Microsoft at 50 Is an AI Giant—and Still Hellbent on Domination | KATHLEEN HOGAN AND DAWN KAWAMOTO - How Microsoft’s chief people officer built a dynamic company culture In 2015, Nadella called for a major transformation of Microsoft’s culture: from a ‘know-it-all,’ fixed mindset culture to a ‘learn-it-all’ growth culture When Satya Nadella took over as CEO in 2014, Microsoft was seen as lumbering and uncool. Together, with Kathleen Hogan, who he appointed as Chief People Office, Nadella cleaned up a toxic culture, crafted the deal of the decade, and put Microsoft back on top. These two resources provide the context from a business perspective and a people one, on who this was achieved. The first article, in Wired, tells the business story: including the acquisitions of LinkedIn and GitHub, the partnership with OpenAI, and how Microsoft closed the AI gap with its competitors. The second article and video, sees Kathleen Hogan sharing how the company changed its company culture and how that evolution continues: “We always joke, the minute you think you’ve arrived and have a growth mindset is the minute you have a fixed mindset.” MICHAEL ARENA AND PHILIP ARKCOLL - When flatter isn’t better: The hidden cost of collaborative demand In an effort to create flatter organizational structures, indiscriminately cutting managers without first assessing collaborative demand can have detrimental consequences. In order to speed up decision making, companies like Meta and Amazon have cut managers as part of a ‘flatter is faster’ approach. The theory is that fewer managers means more speed, more agility, and more innovation. In their article, Michael Arena and Philip Arkcoll provide a counterpoint through Worklytics data showing that when managers are stretched thin—leading teams of seven or more— they encounter overwhelming workloads, rising burnout, and reduced ability to effectively support their teams (see FIG 16). To strike the right balance, Arena and Arkcoll advocate the use of data to assess collaborative demand and drive targeted actions. They provide guidance on (1) Optimising span of control , (2) Focusing on managerial overload, (3) Providing delegation strategies, and (4) Monitoring workloads. FIG 16: Manager hours worked compared to team size (Source: Worklytics) ARNE GAST, ERIK MANDERSLOOT, KAI GRUNEWALD, AND NEIL PEARSE WITH CARMEN JAMES AND NATACHA CATALINO - All about teams: A new approach to organizational transformation Team-focused transformations can lead to 30 percent efficiency gains in organizations that implement these strategies effectively. According to McKinsey, when it comes to organisational transformations there is a third way beyond the top-down or bottom-up approaches that are typically employed. That is a team-centric approach. Indeed, in their article, Arne Gast, Erik Mandersloot, Kai Grünewald, Neil Pearse, Carmen James, and Natacha (Simon) Catalino reveal that a team-centric approach can lead to 30 percent efficiency gains in organisations that implement these strategies effectively. The article provides guidance on four practical steps to empowering teams and unleashing their potential: (1) Identifying the highest-value teams, (2) Activating the value-creating teams (see FIG 17), (3) Lifting the leaders to support their teams, and; (4) Scaling this approach to more and more teams. FIG 17: Transformation requires collaboration within and across teams throughout the organisation (Source: McKinsey) HR TECH VOICES Much of the innovation in the field continues to be driven by the vendor community, and I’ve picked out a few resources from December that I recommend readers delve into: FRANCISCO MARIN - Unlocking HR Potential with Organizational Network Analysis: Insights from Gartner’s 2025 HR Priorities – Francisco Marin of Cognitive Talent Solutions takes inspiration from Gartner’s Top 5 Priorities for HR Leaders in 2025 report to highlight the role ONA can play in areas such as change management and leadership development – highlighting a case study by Allstate that is contained in the Gartner report (see FIG 18). FIG 18: Network model for change planning and execution (Source: Gartner) LISA K. SIMON - AI Isn’t Coming for Your Job—Unless You Ignore It – Lisa K. Simon reveals insightful data from Revelio Labs, on the exposure and adoption of different roles to AI. Findings include: (1) High AI exposure is positively correlated with higher salaries: A ten percentage point increase in AI exposure is associated with 25% higher salaries. (2) The higher the AI exposure, the higher the adoption of AI tools (see FIG 19). FIG 19: Data scientists lead the way in AI adoption (Source: Revelio Labs) BEN WIGERT AND COREY TATEL - The Great Detachment: Why Employees Feel Stuck – Ben Wigert, Ph.D, MBA and Corey Tatel, Ph.D. present data from Gallup that finds that employees across the US are increasingly detached from their jobs – hence The Great Detachment – with satisfaction at record lows, employees seeking new opportunities at the highest rate since 2015, but with a cooling job market organisations face risks with regards to productivity and  future talent loss (see FIG 20). FIG 20: Overall satisfaction and intent to leave, among US employees (Source: Gallup) PODCASTS OF THE MONTH In another month of high-quality podcasts, I’ve selected five gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below): NICK HUDGELL - AI And Data Governance – Nick Hudgell, Global Head of People Insights at Sanofi, joins hosts Stacia Sherman Garr and Dani Johnson on Workplace Stories, to discuss how his team has built an infrastructure that connects disparate systems, improves data quality, and uses machine learning to unlock insights that genuinely improve employee experiences. LASZLO BOCK - Becoming a Courageous, Data-Driven HR Leader - Laszlo Bock, co-founder of the Berkeley Transformative CHRO Academy joins Lars Schmidt on what looks like the last episode of Redefining Work (for now at least – see here) to share his journey from shaping Google’s data-driven HR practices to mentoring the next generation of CHROs. If it does prove to be the final episode, Lars you certainly went out on top. MARK MA - RTOs: Research-backed Realities and Recommendations - Mark Ma, a research professor at the University of Pittsburgh, joins host Sophie Wade on the Transforming Work podcast to shares his discoveries that stock market declines generated RTO mandates but not improved corporate results. In the episode, he advocates for workplace flexibility – giving choices to employees and teams. ERIN SPENCER AND MACKENZIE WILSON - AI and innovations in HR technology – In this episode of the Capital H podcast, hosts David Mallon and Franz Gilbert sit down with Human Capital analysts Erin Spencer and Mackenzie Wilson to discuss innovative AI solutions emerging in the market from established vendors and agile startups. BRYAN HANCOCK AND BROOKE WEDDLE - What works—and doesn’t—in performance management – In this episode of McKinsey Talks Talent, Bryan Hancock and Brooke Weddle join host Lucia Rahilly to share their research on what drives performance: what motivates employees most, what matters less than you think, and the changes organisations need to make to ensure their feedback, ratings, and review processes are on track. VIDEO OF THE MONTH BRIAN ELLIOTT, LAURIANNE MCLAUGHLIN, AND M. SHAWN READ - RTO Mandates: Hard Truths for Leaders In this video, Brian Elliott, who we featured earlier in the special on hybrid working, discusses the impact of RTO mandates with Laurianne McLaughlin and M. Shawn Read. Brian highlights data and examples that shines a light on return-to-office directives, offers predictions for those companies who have implemented these mandates. He also provides alternative, evidence-based strategies that forward-thinking leaders can use to boost productivity without hurting employee trust, engagement, or talent retention. RESEARCH REPORT OF THE MONTH SHONNA WATERS, ERIN EATOUGH, SHEHZAD BASHIR - People Analytics Across Company Growth Stages: Evolving Your Approach as You Scale In an era where people are at the heart of organizational success, making data-driven talent decisions is no longer optional - it's a strategic imperative. In their white paper, four esteemed experts in people analytics - Shonna Waters, PhD, Erin Eatough, PhD, Shehzad Bashir, and Ian OKeefe, break down how to build and refine people analytics capabilities that grow with your organisation. The authors introduce a practical framework for people analytics based on four pillars - each with its own set of capabilities: Governance (with seven capabilities including strategy, ethics and compliance), Infrastructure (also with seven capabilities such as storage, performance and security), Methods (with eight capabilities including primary research, statistical models and machine learning), and Products (with nine capabilities including metrics, dashboards, and nudges), which they state form the basis for organisations to build and subsequently scale their people analytics function. This is a well-researched, practical and helpful paper. HR Analytics adoption is associated with higher return on investment by an average of 6.2% for return on capital employed BOOK OF THE MONTH KATARINA BERG – Bold: A New Era of Strategic HR Behind every innovative company there should be an innovative HR function. That certainly applies to Spotify and Katarina Berg, the company’s Chief People Officer where being bold is etched into the DNA of the HR function she leads. This is evident in the Spotify HR Blog, and now in Bold, which is finally available in English. As I describe in my endorsement of the book: The pandemic has thrust HR into the spotlight and given the function the opportunity to lead in shaping the new model of work. To do this, HR has to embrace data and digital. It must deliver for leaders and employees alike. Above all, HR must be bold. Spotify’s HR function, under the leadership of Katarina Berg, is setting the template for other to follow. With ‘Bold’, Katarina and her team build on the visionary Spotify HR Blog, providing a rich vein of insights on the practice of a leading-edge HR function and how it delivers value for employees and the business. BONUS RESOURCES Some bonus resources to also consume this month: Andrew Kilshaw provides data, insights and guidance to companies looking to streamline their organisations in Middle Management Is Tough Enough As It Is.... If You're Going to Streamline Your Organization, Do It Right And Give Them "Space to Lead". The latest edition of Gareth Flynn’s consistently excellent newsletter summarises the findings of his research into skills-based approaches to talent management: 2024 Skills Research - You Don't Need to Become a SBO or SPO to Drive Value From Skills. Tejas Kumar provides some helpful guidance on how to grow professional relationships (see FIG 21). Madeline Laurano and Kyle Lagunas provide some helpful guidance on how HR Tech vendors can build better partnerships in 2025. Donald Sull highlights here the excellent series of 'Culture Champions' based on a webinar series and research by Donald and the CultureX team, which features interviews with leaders including Sharon MacBeath, Manny Maceda, Jim Whitehurst, Marvin Boakye, and Katie Burke. Rob Briner provides a cautionary tale about telling stories with data. FIG 21: The Journey to Synergy (Source: Tejas Kumar) FROM MY DESK December saw the final three episodes of Series 43 of the Digital HR Leaders podcast, sponsored by TechWolf (thanks Maaike Standaert, Andreas De Neve ?). MIKAËL WORNOO - How to Use Skills Data to Solve Business Challenges – Mikaël Wornoo? joins me to explore how organisations can move beyond surface-level discussions centred on build a skills-based organisation to drive real business impact. MELISSA DAIMLER - Drive Success Through Intentional and Adaptive Company Cultures – Melissa Daimler, Chief Learning Officer at Udemy and author of ReCulturing: Design Your Company Culture to Connect with Strategy and Purpose for Lasting Success, joins me to share how HR leaders can design company cultures that are intentional, adaptive, and aligned with business goals. CHRISTOPHE CABRERA - How to Navigate Challenges in Skills-Based Transformation Journeys - Christophe Cabrera, Director and Head of IT Talent and Company Reputation at UCB, joins me to share how UCB kicked off its skills transformation with an initial proof-of-concept for 500 employees, how it used AI, and its rollout across additional parts of the company. LOOKING FOR A NEW ROLE IN PEOPLE ANALYTICS OR HR TECH? I’d like to highlight once again the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which now numbers over 550 roles. THANK YOU Oli Meager for including me in his list of HR Tech Analysts you can Trust along with a number of people I really respects such as Stacia Sherman Garr, David Perring, FLPI, Kyle Lagunas, and Dani Johnson Gareth Flynn for posting about the Digital HR Leaders podcast episodes with Sandra Loughlin, PhD and Mikaël Wornoo? as part of sharing his insightful learnings on skills Josh Tarr for also posting about the Digital HR Leaders podcast episodes with Sandra and Mikael here Serena H. Huang, Ph.D. for including Excellence in People Analytics as one of ten books that inspired her to write her first book, The Inclusion Equation, which is published in January 2025 Laureano Pérez Caballero for including Excellence in People Analytics in his selection of five books to give as gifts Thomas Kohler for including the November edition of Data Driven HR Monthly in his list of HR resources Thinkers360 for including me in their list of Top Voices EMEA 2024 Teamflect for including me on their list of leaders redefining HR Paul's Job for including me in their list of Experts Shaping the Future of HR Voxeon Communicationsfor including me in their list of Visionaries redefining the Future of Work Finally, a huge thank you to the following people who either shared the November edition of Data Driven HR Monthly and/or posted about the Digital HR Leaders podcast, conferences or other content. It's much appreciated: Tanguy Dulac Joseph Nabarro Sven Hultin Alan Susi Sibusiso Mkhize Sebastian Knepper Samir Murgude , SPHR®, SHRM-SCP, IHRP-SP Catriona Lindsay Amardeep Singh, MBA Kouros Behzad Matthew Hamilton Ian Grant FCIPD Dave Millner Vijay Patnaik, MBA Kathleen Kruse Danielle Farrell, MA Aravind Warrier Alexis Fink Errol Kruger Jose Luis Chavez Vasquez Marijana Brasiello, MHRM Andrew Pitts Joachim Decock David Simmonds FCIPD Dr. Jeeta Sarkar Maximilian Lankheit Chris Long Maria Alice Jovinski Felipe Jara David McLean Danielle Bushen Swechha Mohapatra (IHRP-SP, SHRM-SCP, CIPD) Lukasz Sowinski Geetanjali Gamel Timo Tischer Henrik Håkansson Serena H. Huang, Ph.D. Sander de Bruijn, Kristin Saboe, Ph.D. Giovanna Constant Ravin Jesuthasan, CFA, FRSA Russ Fatum BS, BS, MSA, MBB, PMP Ekta Lall Mittal Luis Maria Cravino Sameer Raut Chandresh Natu Praful Tickoo Ron Ben Oz Emanuele Magrone Laurent Reich Scott Nemeth Chris Lovato Philippa Penfold FCIPD Gal Mozes, PhD Christina Bui Matt Burns Bhawna Bist Melissa Hopper Fritz Rex Blodgett Delia Majarín Asaf Jackoby Joonghak Lee Jaejin Lee Mark Lawrence Kimberly Rose Mariami Lolashvili Malgorzata Langlois Irene Wong Kelly Monahan, Ph.D. Doug Chartier Sophia Huang, Ed.D. Caitie Jacobson Roxanne Bisby Davis Hanna Salo Toon van der Veer David Littlechild Jeff Wellstead Pedro Pereira Dr. Sebastian Projahn Melissa Arronte Linda Jonas John Healy Greg Pryor Kristina Kersiene, PhD Kris Saling Dr Philip Gibbs John Golden, Ph.D. Irada Sadykhova Dolapo (Dolly) Oyenuga, Phil Inskip Joseph Frank, PhD CCP GWCCM Lina Makneviciute Alexandra Nawrat John Brazier Marcela Mury Jacob Nielsen Søren Kold Lucie Vottova Stephanie Murphy, Ph.D. John Gunawan Gawain Wang Dave Fineman Craig Starbuck, PhD Ralf Buechsenschuss Bob Pulver Daniel Ivezaj Nico Orie Greg Newman Brandon Mistry Elizabeth Esarove Julia Brandon, PhD Evan Franz, MBA Erik Otteson Higor Gomes Ken Clar Ruben Santos Dr. Peter Schulz-Rittich Mattijs Mol Tina Peeters, PhD Tim Peffers Ludek Stehlik, Ph.D. Abhilash Bodanapu Mukesh Jain Ohad Geron Jonathon Frampton ABOUT THE AUTHOR David Green ?? is a globally respected author, speaker, conference chair, and executive consultant on people analytics, data-driven HR and the future of work. As Managing Partner and Executive Director at Insight222, he has overall responsibility for the delivery of the Insight222 People Analytics Program, which supports the advancement of people analytics in over 100 global organisations. Prior to co-founding Insight222, David accumulated over 20 years experience in the human resources and people analytics fields, including as Global Director of People Analytics Solutions at IBM. As such, David has extensive experience in helping organisations increase value, impact and focus from the wise and ethical use of people analytics. David also hosts the Digital HR Leaders Podcast and is an instructor for Insight222's myHRfuture Academy. His book, co-authored with Jonathan Ferrar, Excellence in People Analytics: How to use Workforce Data to Create Business Value was published in the summer of 2021.
    leadership
    2024年12月29日
  • leadership
    参会指南：北美华人人力资源年度论坛日程及会议注意事项，保存收藏转发 各位参会嘉宾，非常欢迎参加NACSHR北美华人人力资源年度论坛！ 为营造良好的会议氛围，帮助大家尽快熟悉会议安排以及会议相关行政事宜，特别分享论坛相关注意事项如下，烦请了解和熟悉！ 2024北美华人人力资源年度论坛 2024 NACSHR Annual Conference 时间：10月5日-6日 周六周日 October 5-6, 2024 （9:00-17:00 周六上午8点半签到） 地点:  Crowne Plaza Silicon Valley North 一楼会议室  (32083 Alvarado-Niles Rd. Union City CA 94587 ) 几个机场SFO\SJC\OAK 到酒店距离差不多. 报名参会：https://www.nacshr.org/Survey/418189BC-FF9F-D9B7-B7F8-8E5980AAFFA1 赞助合作伙伴：Law Office of  Xiaomin Hu P.C.、 中国南方航空 、LYD Law 会议日程  DAY1    DAY2  PS: 周五4号晚上、周六5号晚上8点半 在酒店泳池大堂举行自由交流酒会，欢迎自由参加 会议午餐：自理  活动期间会组成不同小组，可结伴前往 Union Landing 广场 5分钟路程（I-880, Union City, CA 94587) 会议提问：可以这个链接提前输入自己的问题 http://hrday.com/survey/survey.php?id=50C568AA-5E95-CC19-714E-CD2BD7FE9AB3 会议日程安排： 第二天日程安排 Workshop :Power Beyond Title and Presence 2024北美华人人力资源年度峰会 2024 NACSHR Annual Conference 时间：10月5日-6日 周六周日 October 5-6, 2024 （9:00-17:00） 地点:  Crowne Plaza Silicon Valley North （ Union City） 报名：https://www.nacshr.org/Survey/418189BC-FF9F-D9B7-B7F8-8E5980AAFFA1 费用：400美元/人 优惠票 （10月4日前） 晚宴：150美元/人（不单独销售，需购买门票，名额有限，售完为止 参与者为分享嘉宾、特邀专家、VIP参会等40人规模） 合作伙伴：Law Office of  Xiaomin Hu P.C.、 中国南方航空 、LYD Law、虚位以待 峰会形式：论坛、评选、参访、职业机会、展位、颁奖、workshop、晚宴酒会等 注：不含会议午餐和参访期间交通  (付款方式及报名后的注意事项：https://www.nacshr.org/2022.html) 参会其他注意事项 （更详尽事宜访问网站,以网站为准）： 视频和摄影 参加 NACSHR 即表示您同意由官方展会摄影师和摄像师拍摄您的形象。由此产生的材料，包括静态照片、视频和音频记录，NACSHV 可以在新闻材料、宣传材料、网站和其他宣传渠道中不受限制地使用。与会嘉宾可以使用智能手机拍照和捕捉数字图像，仅限于个人、非商业用途，且摄影活动不得造成干扰。在会议进行时，与会嘉宾可以在座位上拍照，条件是不得站在媒体区域、阻挡其他人视线或使用闪光灯。照片不得以任何方式出售、复制、传播、分发或用于任何商业目的。 直播和录制会议 虽然 NACSHR 会录制和拍摄各种会议活动，这些活动主要是为了现场观众的利益。尽管我们实行“禁止直播和录制”的政策，但我们理解与会者希望通过手机捕捉照片和视频，并在社交网络上分享的愿望。为了保护发言者和会议内容的版权，与会嘉宾不得直播会议，并且同意录制任何单场会议的连续视频不得超过 60 秒。 NACSHR Forum Attendee Guidelines 1. Safety and Emergency Procedures Emergency Exits and Safety Routes: Locate emergency exits and familiarize yourself with the nearest safety routes upon arrival.   Emergency Response: Remain calm and follow the directions of staff in case of an emergency.   Health Safety: Adhere to all health and safety guidelines set by the venue, including the use of masks and sanitizers as required. 2. Registration and Identification Pre-registration: Ensure smooth entry by completing online registration and identity verification in advance.   Badge Display: Wear your conference badge at all times for access and visibility during the event. 3. Code of Conduct Respect and Professionalism: Maintain respect for all participants, speakers, and staff. Harassment, discrimination, or inappropriate behavior will result in expulsion from the venue.   Intellectual Property: Respect intellectual property rights; do not record or disseminate presentation content or materials without permission.   Cyber Security: Exercise caution when using venue Wi-Fi, especially when accessing sensitive or critical information. 4. Photography and Recording Personal Use: Non-commercial photography and video recording should not disrupt the event or other attendees’ experience.   No Live Broadcasting: Live broadcasting of any session is prohibited without explicit permission from the organizers. 5. Facility Use Cleanliness: Keep the venue clean; dispose of trash in designated receptacles.   Equipment Care: Use conference facilities and equipment responsibly; damages may be subject to compensation. 6. Communication and Networking Engagement: Participate actively in discussions and networking opportunities to enhance your professional connections.   Cultural Sensitivity: With diverse backgrounds among attendees, display cultural sensitivity and inclusiveness. 7. Intellectual Property and Confidentiality Confidentiality Obligations: Confidential information and unpublished data discussed at the forum must not be disclosed without authorization.   Material Distribution: Conference materials are for session use only and should not be copied or distributed without consent. 8. Legal Compliance and Ethical Standards Local Laws: Comply with all applicable local laws, including antitrust laws and fair competition.   Ethical Behavior: Encourage high standards of professional ethics, characterized by honesty, fairness, and responsibility. 9. Anti-Harassment Policy Harassment-Free Environment: Commit to a harassment-free environment; all complaints will be taken seriously to ensure the rights and privacy of victims. 10. Complaints and Feedback Mechanism Feedback Channels: Establish clear channels for complaints and feedback during and post-event.   Rapid Response Team: Have a rapid response team available during the event to handle any emergencies or urgent needs from attendees. 11. Property Security Personal Belongings: Attendees are advised to keep personal belongings secure as the organizers are not liable for loss or damage.   Facility Equipment: Unauthorized use or relocation of venue facilities and equipment is prohibited. 12. Prohibition of Political and Religious Advocacy Neutral Policy: The forum is a platform for professional and business exchanges; any form of political or religious advocacy is prohibited.  
    leadership
    2024年09月25日
  • leadership
    David Green:The best HR & People Analytics articles of August 2024 I’ve just returned from a three-week family holiday in the South of France and am feeling refreshed, recharged and ready for the final four months of the year. These are invariably the busiest for the team at Insight222, and 2024 is set to be no different. The Digital HR Leaders podcast returns from its summer sojourn on September 3 with a special episode on how HR can help their organisations embrace the blended workforce, featuring Diane Gherson and Lynda Gratton, and based on their brilliant recent HBRarticle, The Insight222 Global Executive Retreat, which we host annually for leaders of 100+ companies that are part of the Insight222 People Analytics Program, takes place in Amsterdam from September 24-26 with guest speakers including: Erin Meyer, Prasad Setty, Janine Vos, and a workshop on storytelling with Duarte, Inc.. The fifth annual Insight222 People Analytics Trends report, which studies how leading companies are using people analytics to generate business value will be published in October – you can read the 2023 study here. Additionally, I will be speaking at a number of conferences before the end of the year including Workday Rising (Las Vegas, September 16-19), People Analytics World (New York, October 2-3), UNLEASH World (Paris, October 16-17), and Workday Rising EMEA (London, November 12-14). This edition of the Data Driven HR Monthly is sponsored by our friends at 365Talents 365Talents goes beyond traditional approaches, offering more than just technology for Skills-Based Organizations. Our approach is not just about managing skills; it's about making the entire process seamless, effective, and enjoyable. Picture real-time insights into your workforce's skills, coupled with the expertise to implement strategic HR projects aligning with your business goals. Our experience in talent mobility and skill development contribute to creating a more democratic, inclusive, and future-ready world of work where every individual has the power to shape their professional path. Start your skills journey with 365Talents today and join the ranks of trailblazers like Veolia, SLB, TotalEnergies, SocGen, and more! To find out more click here: https://www.365talents.com/en/lp/experience-365talents 2024 Skills Impact Report In today’s fast-paced and increasingly disruptive environment, companies need to adopt a more flexible approach that puts its people and their skills at the center of its talent management strategies. This has become more and more imperative as: 59% of the global workforce are disengaged. 69% of job candidates say they would reject a job offer from an employer with a negative reputation, even if they were unemployed. 87% of organizations currently have an existing skills gap or expect to within the next two to ten years. Enter the 2024 Skills Impact Report. It explores the business imperative of talent experience for Skills-Based Organizations, the impact it has on your employees, the pillars of design thinking for HR and how to start applying it to your strategy with 5 intuitive roadmap worksheets. CASE STUDY: SEGULA Technologies Group In 2020, as the world faced significant engineering transformations, the COVID crisis, talent shortages, and the rise of AI, SEGULA Technologies Group launched a strategic initiative to plan and manage the resources and skills of its workforce. The goal of this ambitious project was to identify and leverage the talents of the Group's 15,000 employees across 30 countries, using AI to drive innovative skills management and enhance overall performance. Read the Case Study to learn all the steps and actions taken to successfully tackle the challenge! To sponsor an edition of the Data Driven HR Monthly, and share your brand with more than 130,000 Data Driven HR Monthly subscribers, send an email to dgreen@zandel.org. Share the love! Enjoy reading the collection of resources for August and, if you do, please share some data driven HR love with your colleagues and networks. Thanks to the many of you who liked, shared and/or commented on July’s compendium. If you enjoy a weekly dose of curated learning (and the Digital HR Leaders podcast), the Insight222 newsletter: Digital HR Leaders newsletter is published every Tuesday – subscribe here. NEW: Insight222 research report on the People Analytics Ecosystem Access the new Insight222 study here: Building the People Analytics Ecosystem: Operating Model v 2.0. HYBRID, GENERATIVE AI AND THE FUTURE OF WORK MCKINSEY - Gen AI’s next inflection point: From employee experimentation to organizational transformation HR plays an especially important role in gen AI, both by transforming the people domain and by acting as a gen AI copilot for all employees. One executive noted that for every $1 spent on technology, $5 should be spent on people. A new study by McKinsey finds that to generate value from the momentum associated with GenAI, businesses must transform their processes, structures, and approach to talent. The article, penned by Charlotte Relyea, Dana Maor, Sandra Durth, and Jan Bouly, outlines the key findings from the research: (1) Employee use is at an inflection point, while their organisations lag behind. (2) The next inflection point will see organisations shift from individual experimentation to strategic value capture. (3) Reinvent domains by translating vision into value. (4) Reimagine talent and skilling by putting people at the centre (see FIG 1). (5) Reinforce the changes to continue transforming (“To make gen AI changes stick, organizations need the right infrastructure to support continuous change and win over hearts and minds”). FIG 1: Early adopters prioritise talent and the human side of GenAI more than other companies (Source: McKinsey) DAVE ULRICH - How are You Doing at AI for HR? A Ten-Item Assessment to Evaluate Your Progress Getting started in AI for HR often begins with initiatives that can be done relatively quickly and easily. Dave Ulrich shares key takeaways from a recent deep-dive, he and his colleagues at The RBL Group facilitated with senior HR leaders on AI in HR. He distils these into ten dimensions designed to help HR leaders assess how they are doing at applying AI for HR to their organisation (see FIG 2). These include: (1) Articulate a business case. (2) Develop Talent who can ‘do’ AI. (3) Create Responsible AI policies. (4) Create metrics to guide and measure success. (5) Start with low-hanging fruit. FIG 2: Criteria to evaluate how well your organisation is using AI for HR (Source: Dave Ulrich) DUNCAN HARRIS AND KATE ZOLNER - 5 Employee Fears of AI and How to Overcome Them If companies want to get the most out of AI, they need employee trust. Securing it is not easy. More than three-quarters of employees don’t think their organization’s future use of the technology will be ethical. Duncan Harris and Kate Zolner present the findings of Gartner research on the five main employee fears of AI use by their organisations (see FIG 3), which have a negative impact on employee trust. They then explain how leaders can address these fears through initiatives in areas such as learning, co-creation, effective communications, ethics and data privacy. As well as enabling the organisation to benefit from AI, Harris and Zolner argue that these solutions will lead to higher levels of inclusion, engagement and effort. FIG 3: Five Employee Fears of Organizational AI Use (Source: Gartner) STACIA GARR - How is HR using Gen AI today? | MAX BLUMBERG - GenAI in HR: Slashing Costs, Boosting Efficiency | SWANAND DEODHAR, FAVOUR BOROKINI, AND BEN WABER - How Companies Can Take a Global Approach to AI Ethics | BAIN - AI Survey: Four Themes Emerging Four more resources tracking topics related to GenAI in HR. (1) Stacia Sherman Garr’s LinkedIn post summarises RedThread Research analysis of how HR is using GenAI today (see FIG 4). (2) Max Blumberg (JA) ?? provides a summary of his report on Slashing HR Costs: The Ultimate Blueprint for Implementing GenAI in HR, which provides guidance on implementing GenAI to transform HR cost efficiency, and includes Max’s GenAI HR Cost Reduction Maturity Model (see FIG 5). (3) Ben Waber teams up with Swanand Deodhar and Favour Borokini in a Harvard Business Review article offering guidance on how companies can take a global approach to AI ethics: “Because AI and related data regulations are rarely uniform across geographies, compliance can be difficult. To address this problem, companies need to develop a contextual global AI ethics model that prioritizes collaboration with local teams and stakeholders and devolves decision-making authority to those local teams.” (4) Gene R., Sanjin Bicanic, Jue Wang, Richard Lichtenstein, and Arjun Dutt share the four key themes that emerged from Bain’s recent AI survey, which includes that the emphasis has shifted from experimentation in 2023 to delivering real value 12 months later – thanks to Hung Lee for sharing Bain’s research in a recent edition of Recruiting Brainfood. FIG 4: How HR is using GenAI (Source: RedThread Research) FIG 5: GenAI HR Cost Reduction Maturity Model (Source: Max Blumberg) MARC EFFRON - Above the Fray: What We Know About How WFH and Hybrid Affect Work We should approach solving this problem in the same intelligent way as we suggest all human problems be solved – start with the science. As his article on skills-based organisations testified, Marc Effron has a penchant for cutting through the hype and getting to the heart of an issue. As such, I highly recommend digging into his new analysis on what the science and evidence says are the trade-offs among WFO, WFH and hybrid work. Firstly, Effron dispels four myths propagated by proponents and opponents on CEOs, real estate, proximity bias and employees who prefer WFH. Then he examines the consequences of different work arrangements on (1) performance, (2) creativity, (3) innovation (4) work relationships, (5) collaboration, and (6) managing based on the emerging knowledge available via Google Scholar. LYNDA GRATTON - Seven Truths About Hybrid Work and Productivity | BRIAN ELLIOTT - Hybrid Work: How Leaders Build In-Person Moments That Matter | REBECCA KNIGHT - 17 Team-Building Activities for In-Person, Remote, and Hybrid Teams To get the most from hybrid work, leaders should prepare for trade-offs, make expectations clear, and think harder about how productivity is measured. Three more resources on hybrid work to read in conjunction with Marc Effron’s article above. First, Lynda Gratton unveils seven key findings from what she is seeing from experiments in hybrid working including: (1) Hybrid work is a continuum. (2) Productivity is usually challenging — and measurement is always complex. (3) It’s useful to view hybrid work as fundamentally a job design option. Second, Brian Elliott provides guidance on the four essential times leaders should be intentional about building moments that matter for hybrid workers: (1) Team development (“Get people together three or four times a year, with a 50-50 mix of business and social”). (2) Onboarding and training. (3) New-team formation and major-initiative kick-offs (“Grapple together over the objectives and norms of a project”). (4) Business-function-specific activities (“Let teams figure out the best in-person schedules for their needs”). Finally, Rebecca M. Knight provides guidance to leaders on team-building activities for in-person, remote and hybrid teams. FIG 6: Focus on Productivity, Not Physical Presence (Source: Brian Elliott, Future Forum) PEOPLE ANALYTICS NAOMI VERGHESE, JONATHAN FERRAR, AND JORDAN PETTMAN - Building the People Analytics Ecosystem: Operating Model v2.0 ARTICLE | FULL REPORT One of the questions we get asked most by the people analytics leaders and chief people officers we work with at Insight222 is: What capabilities do I need to build into our people analytics function? Based on research of more than 250 companies, focus interviews with 20 organisations, and our experience of working with more than 120 global companies as part of the Insight222 People Analytics Program, my colleagues Naomi Verghese, Jonathan Ferrar and Jordan Pettman have developed a new report: Building the People Analytics Ecosystem: Operating Model v 2.0. The executive article provides a summary of the key highlights, while the full report breaks down the six elements of the People Analytics Ecosystem (see FIG 7): (1) A Value Chain: from client drivers to business outcomes. (2) People Strategy at the Centre: a symbiotic relationship exists between people strategy and people analytics. (3) Five Core Capabilities: consulting, data science and research, employee listening, analytics at scale, adoption. (4) Four Additional Capabilities: reporting, data governance, workforce planning, AI strategy. (5) Internal Partnerships: HR and other business stakeholders are key to operational effectiveness. (6) External Partnerships: external suppliers and expertise are important for enabling success. FIG 7: The People Analytics Ecosystem (Source: Insight222 Building the People Analytics Ecosystem: Operating Model v 2.0) NELSON SPENCER - Introducing the S.T.A.R.T. Framework The strategy pillar is all about aligning with your overall HR and Business goals. You should be able to connect how your strategy is driving business outcomes. Nelson Spencer, who has worked in both sports and people analytics, presents his S.T.A.R.T Framework (see FIG 8), which is designed to solve a perennial problem for many HR functions: the disconnect between analytics, technology and operations. As Nelson explains, S.T.A.R.T has been designed “to consider these three critical functions holistically, acknowledging that they are part of a bigger puzzle and are all deeply interconnected.” The five pillars, which Nelson describes in detail in his article, are: (1) Strategy, (2) Technology, (3) Analytics, (4) Results, and (5) Transformation. He then provides guidance on how to implement the framework in organisations of varying sizes, from small to large. FIG 8: The S.T.A.R.T Framework (Source: Nelson Spencer) MICHAEL LUCA AND AMY EDMONDSON - Where Data-Driven Decision-Making Can Go Wrong When making decisions (using data), managers should consider internal validity—whether an analysis accurately answers a question in the context in which it was studied. They should also consider external validity—the extent to which they can generalize results from one context to another. Drawing on their research and work with companies, Michael Luca and Amy Edmondson present an approach that considers internal validity and external validity that leaders can apply to discussions of data to support better decision-making. This approach is designed to help leaders avoid five common pitfalls (see FIG 9) associated with data-driven decision-making. FIG 9: How to avoid predictable errors (Source: Michael Luca and Amy Edmondson) WILLIS JENSEN - Building a Network View of Data | MARTHA CURIONI - Supporting HR Adoption of People Analytics | JACKSON ROATCH - Your Best Career Move could be Going for a Run | SERENA HUANG - The Future of Work is Wellbeing | JASPAR SPANJAART - How NVIDIA's Talent Intelligence approach helped fuel its trillion-dollar rise | TOBY CULSHAW - The Talent Nexus: Redefining Business Agility for the 21st Century CEO In each edition of the Data Driven HR Monthly, I feature a collection of articles by current and recent people analytics leaders. These are intended to act as a spur and inspiration to the field. Six are highlighted in this month’s edition.  (1) In another excellent edition of his Making People Analytics Real blog, Willis Jensen discusses how to get a network view of data: “Linking your data together should be a top priority for any people analytics team.” (2) Martha Curioni provides guidance on how to support HR to adopt people analytics harnessing insights from the likes of Isabel Naidoo, Patrick Coolen, Greg Newman, and Amit Mohindra. One of Martha’s tips focuses on the importance of including HRBP’s rather than going around them. (3) As someone whose best ideas invariably come when I’m on a run, I particularly enjoyed Jackson Roatch’s article exploring the link between physical exercise and workplace learning, performance and thriving. (4) In an edition of her From Data to Action blog, Serena H. Huang, Ph.D. explores how AI can support wellbeing and lays out a ten-point plan on responsible AI principles for workplace wellbeing (see FIG 10). (5) NVIDIA’s Meta McKinney, MLIS and Nickolas Dowler, MBA explain to Jasper Spanjaart how the company’s Talent Intelligence strategy helped fuel its growth: “A winning Talent Intelligence strategy requires several key ingredients: data-driven and tested theories, meticulous and thoughtful research, reliable data, creative problem-solving, clear communication of the rationale, trusted relationships with business leaders, and the financial support and freedom to execute.” (6) Toby Culshaw provides a compelling breakdown of what he describes as The Talent Nexus: “The Talent Nexus represents a revolutionary approach to talent management and acquisition in the modern business landscape. It's an AI-driven, quantum-computing-enhanced ecosystem that transforms how organizations interact with, deploy, and develop talent.” A must-read for all those involved in talent intelligence, people analytics and workforce planning. FIG 10: Responsible AI Principles for Workplace Wellbeing (Source: Serena Huang) THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE RAVIN JESUTHASAN - The AI revolution is coming to L&D AI will empower the L&D function to support strategic workforce planning through skills-related insights and interventions. This will help organizations shift from costly ‘churn and burn’ strategies to more cost-effective and sustainable reskilling and upskilling programs. Ravin Jesuthasan, CFA, FRSA examines how AI is set to transform the learning and development function. He highlights Mercer analysis that finds that AI and automation will likely augment some L&D activities (see FIG 11), as well as outlining four potential AI uses cases for corporate L&D: (1) Producing L&D content. (2) Personalising L&D delivery. (3) Driving the skills-powered revolution. (4) Democratising knowledge. For more from Ravin, watch the recent LinkedIn Live on Skills-Powered Organisations in the Age of AI, which I moderated and featured Ravin alongside Tanuj Kapilashrami. FIG 11: Time by task: L&D versus AI and Automation (Source: Mercer) NANCY DUARTE - Are Your Presentations Too Emotional — or Too Analytical? When making a presentation, leaders need to balance appeals to both logic and emotion — the head and the heart. Nancy Duarte provides invaluable guidance on how to strike a balance between logic and emotion when making a presentation, and how credibility plays a crucial role in this balancing act. She explains that the first step in achieving this balance is understanding the audience: “Are they data-driven decision makers who thrive on statistics and factual evidence? Or are they more likely to be swayed by personal stories and emotional connections?” FIG 12: An Analytical and Emotional Balance That’s Just Right (Source: Nancy Duarte) WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS SANDRA LOUGHLIN – Seven Elements of Skills Data Quality Skills data quality isn’t talked about much despite being the foundation for the SBO value proposition, a critical input to selecting and gaining value from skills tech vendors, and arguably the most difficult part of a skills transformation. These wise words open Sandra Loughlin, PhD’s excellent article, where she outlines seven aspects of skills data quality, why they matter and their trade-offs: (1) Relevance (“Skills that are tracked should be the skills that need to be tracked—there’s no point in collecting skills data that won’t help you make better business decisions”). (2) Accuracy. (3) Validity. (4) Completeness. (5) Consistency (“Skills data should be consistently defined, recorded, and categorized across systems and within the organization”). (6) Timeliness. (7) Uniqueness. Thanks to Victoria Holdsworth for highlighting Sandra’s article. EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING CATHERINE COPPINGER - Introducing Two New Metrics: Fragmented & Interrupted Time Catherine Coppinger from Worklytics introduces two new metrics: (1) Fragmented Time (“the sum of the total number of hours people have in blocks of time that are too short to get any deep work done”) and (2) Interrupted Time (“a metric designed to measure those periods of the day where people keep getting interrupted and just can’t find enough concentrated time to finish an important task”). Understanding these can help individuals and managers organise time more productively while enhancing employee wellbeing (see FIG 13). Read as a follow-up to another recent article by Catherine: 4 New Ways to Model Work, which featured in the July edition of Data Driven HR Monthly. FIG 13: Source: Catherine Coppinger, Worklytics MCKINSEY - What employees say matters most to motivate performance Performance management is most effective when it features strong, consistent internal logic that employees understand In their article, Asmus Komm, Brooke Weddle, Dana Maor, Katharina Wagner and Vivian Morrow Breaux present the findings of a McKinsey study of more than 1,000 employees across the globe on what matters most to motivating employee performance. The findings provide insights to employers to guide their approach with regards to performance management. These include: (1) Performance management frameworks should be consistent and clearly articulated. (2) Goal setting has impact when goals are measurable and clearly linked to company priorities (see FIG 14). (3) Performance reviews with skilled managers are crucial to employee performance. (4) Rewards that include nonfinancial incentives provide a boost. FIG 14: Employees are motivated by measurable goals linked to company/team (Source: McKinsey) LEADERSHIP, CULTURE, AND LEARNING MEGAN REITZ AND AMY EDMONDSON - When a Team Member Speaks Up — and It Doesn’t Go Well Speaking up — and being heard — in organizations is critical. What gets said, and what doesn’t, directs ethical behavior, innovation, inclusion, and performance. In their article for Harvard Business Review, Megan Reitz and Amy Edmondson explore how 'conversational failures' often cause breakdowns in psychological safety rather than being used as opportunities to learn and develop. They discuss why they occur and the reasons why it is difficult to learn from these failures, before providing guidance on how these failures can become ‘intelligent’: (1) Prepare to learn from conversations. (2) Notice critical moments. (3) Implement process tools. (4) Attend to learning over the long term. For more on ‘intelligent failure’, tune in to Amy’s conversation with me on the Digital HR Leaders podcast: How Learning to Fail Can Help People and Organisations to Thrive. If you’re not failing, you’re not journeying into new territory JAMIE SMITH - How boards can champion a resilient talent strategy Talent strategy is increasingly vital to driving overall strategy. Based on a study of by EY and Corporate Board Member magazine of US public company directors across a range of industries, Jamie Carroll Smith presents analysis of the four opportunities identified in the research for boards to champion a resilient talent strategy: (1) Gain deeper insight into the employee experience. (2) Enable a workforce for the future (“Directors recognize that AI developments demand a reskilling of the workforce”). (3) Harness the value of diversity, equity and inclusion (“The future talent pool may depend on companies prioritizing DEI”). (4) Identify opportunities to strengthen talent governance. Thanks to Brian Heger for highlighting in an edition of his excellent Talent Edge newsletter. FIG 15: The biggest impacts of AI on company workforce strategy (Source: EY) JEN FISHER, SUE CANTRELL, JAY BHATT, AND PAUL SILVERGLATE - The important role of leaders in advancing human sustainability More than eight out of 10 executives surveyed say a stronger commitment to prioritizing a positive human impact would increase their company’s ability to attract new talent (82%), appeal to customers and clients (81%), and profitability (81%). Jen Fisher, Susan Cantrell, Jay Bhatt, and Paul Silverglate outline the key findings from Deloitte’s third annual Workplace Wellbeing report. The primary finding suggests that leaders can play a key role in prioritising and advancing a human sustainability agenda, particularly when it comes to measuring outcomes and holding their organizations accountable for progress. Insights identified in the study include: (1) The three trends impacting today’s workforce the most are skills, burnout and mental health. (2) The modern work experience doesn’t promote human sustainability but C-suite leaders aren’t seeing it. (3) While three out of four executives believe workforce wellbeing is excellent or good, workers are having a different experience (see FIG 16). The article then provides guidance on the metrics companies can implement to measure human sustainability including on skills development, purpose, DEI and societal impact. FIG 16: Source – Deloitte Wellbeing at Work survey, 2024 DIVERSITY, EQUITY, INCLUSION, AND BELONGING JANINE LEE - Breaking Down Barriers to Belonging for Women of Color in Tech In her article in Harvard Business Review, Dr. Janine Lee, MBA, Ed.D. Global Head of L&D at Google, outlines the findings from her doctoral research on workplace belonging for women of colour in the tech industry. Janine highlights the top belonging contributors and detractors identified in the study (see FIG 17), and then offers three recommendations to boost workplace belonging: 1) Invest in programs that foster peer-based relationships, 2) Enable sponsorship and mentoring opportunities, and 3) Hold leaders accountable to “walk the talk.” FIG 17: Sense-of belonging contributors and detractors (Source: Janine Lee) HR TECH VOICES Much of the innovation in the field continues to be driven by the vendor community, and I’ve picked out a few resources from August that I recommend readers delve into: GURU SETHUPATHY – Understanding the EU AI Act in Four Handy Charts – Guru Sethupathy of FairNow provides an invaluable breakdown of the EU AI Act and its implications. FIG 18: The four risk levels under the EU AI Act (Source: FairNow) EMILY KILLHAM - How to Build a Better Boss: What Leaders (and Their Teams) Need Now to Thrive – Emily Killham delivers a new study by Perceptyx identifying five key behaviours for managers, the positive and negative impacts of manager behaviour on employees and organisations, and the role of employee feedback in help managers take corrective action. FRANCISCO MARIN - The Role of Active and Passive Organizational Network Analysis in Cybersecurity – Francisco Marin of Cognitive Talent Solutions breaks down how active and passive ONA can support organisational cybersecurity initiatives including the detection of anomalous communications, enhancing incident response and tailoring security strategies. LOUJAINA ABDELWAHED - How To Lose an Employee in 10 Days – Loujaina Abdelwahed, PhD presents analysis by Revelio Labs highlighting the negative impact of return to office on employee reviews and attrition. FIG 19: Negative reviews of RTO correlate positively with attrition (Source: Revelio Labs) ALICIA ROACH – Not all ‘Workforce Planning’ is the Same – If you are interested in workforce planning and don’t follow Alicia Roach of eQ8 on LinkedIn, you really should. In her recent post, Alicia reflects on her ‘triangle of workforce planning’ (see FIG 20), which skilfully illustrates the value of ‘strategic’ workforce planning. FIG 20: Source – Alicia Roach PODCASTS OF THE MONTH In another month of high-quality podcasts, I’ve selected six gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below): EMILY HACKER AND DAN WEISS - The Critical Role Data Plays in Skills Development - Emily Hacker, CPTD and Dan Weiss share insights from MetLife's skills journey with Stacia Sherman Garr and Dani Johnson of RedThread Research on the Workplace Stories podcast. The key learning from the conversation is that your skills data doesn't need to be perfect to benefit employees, improve talent acquisition, and enhance workforce planning. JOSH BERSIN - The Future Of The Workforce Has Arrived, Can’t You See It? – Inspired by his recent trip to Europe, Josh Bersin explains why the traditional industrial work model has ended, gig work is now mainstream, reskilling should be given primacy, and why HR professionals need to reskill in AI to stay relevant. BRYAN HANCOCK AND EMILY FIELD - Managing in the era of gen AI – In this episode of McKinsey Talks Talent, Bryan Hancock and Emily Field, two of the authors along with Bill Schaninger, Ph.D. of Power to the Middle: Why Managers Hold the Keys to the Future of Work, join host Lucia Rahilly to explain why middle managers matter, what leaders could do differently to make more of the managers on their teams, and how gen AI could change middle managers’ jobs—for the better. ANSHUL SHEOPURI - How Mastercard is Training Employees for the AI Era – Anshul Sheopuri, EVP People Operations and Insights at Mastercard, joins Christopher Rainey on the HR Leaders podcast to shares insights on leveraging AI in HR and the importance of continuous learning. JAMES GALLMAN - Bridging HR Technology, Analytics, AI Agents, LLMs, & Nudging at NetApp - James Gallman , VP HR PMO, Systems and Analytics at NetApp, joins hosts Cole Napper and Scott Hines, PhD on the Directionally Correct podcast to discuss the overlap between HR technology and people analytics. LILY ZHENG - Ground Your DEI Efforts in Data – In an episode of Women at Work, DEI strategist and consultant Lily Zheng joins hosts Amy Bernstein and Amy Gallo to explain the role of data and analytics in DEI, and the importance of measuring outcomes to make lasting progress. VIDEO OF THE MONTH JULIET SCHOR - Smarter Work for a Better World? Studies suggest that the Four Day Week may reduce burnout and depression, while also offering significant opportunities to reduce our collective carbon footprint. One of my favourite sessions at this year’s Wharton People Analytics Conference saw Professors Juliet Schor and Iwan Barankay discuss what we know about the four-day work week and share their different perspectives on what this alternate structure might mean for organisations and their employees. BOOKS OF THE MONTH One of the benefits of being on holiday the past few weeks has been that it enabled me to catch up on some reading, hence there being two books of the month for August: NICK VAN DAM – Boosting Your Well-being: The Best Version of Me - A wonderful book – and a wonderful cause with 100% of the book’s royalties being donated to the e-Learning for Kids Foundation. Written by Prof. dr. Nick van Dam, and 20 co-authors, this is a comprehensive book on professional wellbeing. It delves into the interconnected aspects of four key dimensions: body, mind, purpose, and environment, and offers a compelling approach to self- improvement. I particularly enjoyed the chapters on resilience and adaptability (written by Jacqui Brassey, PhD, MA, MAfN ?️ (née Schouten) ), sleep (Dr Els van der Helm) and contribution (Emily Ricci). An uplifting and potentially life-changing read. KALIFA OLIVER – I Think I Love My Job: Secrets To Designing A People-Centered Employer Value Proposition - At times a powerful and relatable story of the ups and downs of corporate life, and at others a compelling narrative on how to approach work, harness data and build a world-class employee experience. Kalifa Oliver, Ph.D. combines both an academic and a practitioner mindset that empowers the reader to take charge of their career, challenge workplace norms, and use data to revolutionise the employee experience. FROM MY DESK August saw us reach a notable milestone on the Digital HR Leaders podcast – our 200th episode, and we celebrated in style with a special guest, Amy Edmondson, Thank you to Louis Gordon and the team at HiBob for sponsoring series 40 of the podcast. AMY EDMONDSON - How Learning to Fail Can Help People and Organisations to Thrive – Harvard professor, pioneer of psychological safety and Thinkers50 #1, Amy Edmondson joined me for our 200th episode, where we discussed intelligent failure, and how failing well can drive individual and organisational success. DAVID GREEN - What key elements do you believe are essential to building a strong company culture? - A round up of series 40 of the Digital HR Leaders podcast, with insights from John Winsor, Maureen N. Dunne, Ph.D., Nirit Peled-Muntz, Heidi Manna and Amy Edmondson. DAVID GREEN - Five Key Elements For Building a Strong Company Culture? – A recent article for myHRfuture, where I break down five elements in building a strong company culture including aligning with organisational mission and using people data as your GPS. LOOKING FOR A NEW ROLE IN PEOPLE ANALYTICS OR HR TECH? I’d like to highlight once again the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which now numbers close to 500 roles – and has now been developed into a LinkedIn newsletter too. THANK YOU Wayne Tarken for kindly writing a post about me on LinkedIn: Curious About People Analytics? - What Leaders Can Learn from Thursday's Thought Leader. Ester Martinez and her team at People Matters for including the Digital HR Leaders podcast in their list of 100 must-read resources for HR and talent leaders. Rachel Collins for her post emphasising the need to move from employment to employability, inspired by the LinkedIn Live I hosted recently with Ravin Jesuthasan and Tanuj Kapilashrami. Similarly, thanks to James Elliott for also posting here about the LinkedIn Live with Ravin and Tanuj. David McLean , whose post on learning from your failures references the Digital HR Leaders podcast episode with Amy Edmondson. Veronika Birkheim , whose post on Culture Diagnostics, references the Digital HR Leaders podcast episode with Heidi Manna. Andrew Gadomski for his post on how he uses the Data Driven HR Monthly as a learning tool at the Cybersecurity and Infrastructure Security Agency. Irada Sadykhova for her post on how to build a strong company culture, which was inspired by a recent series of the Digital HR Leaders podcast. Ashley Utz for her post reflecting on the recent Digital HR Leaders podcast episode with Nirit Peled-Muntz. HR Executive Leadership Exchange for including me in their list of the Top 10 HR Leaders You Should Follow. Mirro.io for including me in their list of Top HR Leaders to Follow in 2024. Daniyal Wali and The Talent Games for including me in their list of the Top 10 HR Tech Leaders to Follow in 2024. Finally, a huge thank you to the following people who shared the July edition of Data Driven HR Monthly. It's much appreciated: Jaqueline Oliveira-Cella Andrés García Ayala Kristhy Bartels Sandy Zou Danielle Farrell, M.A. David Hodges Jeff Wellstead Gord Johnston MA, BHJ, BA, CHRP Debbie Harrison Dave Millner Sharna Wiblen Aizhan Tursunbayeva, PhD, GRP Catriona Lindsay Amardeep Singh, MBA Walter Maes Marcano Gert-Jan Tretmans Tim Peffers Kouros Behzad Adam Tombor (Wojciechowski) Lewis Garrad Sebastian Szachnowski Bob Pulver John Golden, Ph.D. Ben Wigert, Ph.D, MBA Ken Oehler Alexis Fink Katia Simões Francisca Solano Beneitez Abbas Qaidari Onno Bouman Aravind Warrier Kathleen Kruse Adedamola Adeleke ☁️ Elodie MENAGER Susan Knolla John Healy David Simmonds FCIPD Andrews Cobbinah, MLPI, ACIHRM Deviprasad Panda Vanesa C. David McLean Timo Tischer Prachi Agasti Maria Alice Jovinski Tristan Hack Adam McKinnon, PhD. Nicole Hazard Michael Arena Andras Vicsek Jane Kuhn Emily Pelosi, PhD Malgorzata Langlois Ahmed Salah ?? Swechha Mohapatra (IHRP-SP, SHRM-SCP, CIPD) Paul Daley Kyle Forrest Shivaani Talesra Ryan Wong Shujaat Ahmad Tessa Hilson-Greener Vivek Ojha Jacob Nielsen Søren Kold Tobias W. Goers ツ Terri Horton, EdD, MBA, MA, SHRM-CP, PHR Galo Lopez Noriega Marino Mugayar-Baldocchi Alexandra Nawrat Marian Stancik Hanadi El Sayyed Marcela Niemeyer Higor Gomes Kirsten Edwards Andreea Lungulescu Bradford Williams Faiza Tasneem(Associate CIPD) Alysson DuPont, SHRM-SCP, MBA Dr. Peter Schulz-Rittich Joaquin Hernandez Doug Shagam Mariami Lolashvili Caitie Jacobson Jaap Veldkamp Jaejin Lee Yvonne Bell (She/Her) John Gunawan Roberto Amatucci Philipp Heller Tina Peeters, PhD Gianni Giacomelli Lina Makneviciute Roshaunda Green, MBA, CDSP, Phenom Certified Recruiter Jacob Bradburn, Ph.D. Ying Li Phil Inskip Jack Liu Jonathan Berríos Leiva Stephen Hickey Lars Schmidt Geetanjali Gamel Dan George Anabel Fall Alejandra Barbarelli Adam Gibson Mia Norgren David van Lochem Nick Lynn Silja Kupiainen Heather Whiteman, Ph.D. Meghan M. Biro Martijn Wiertz Agnes Garaba Dolapo (Dolly) Oyenuga Laurent Reich Sebastian Kolberg Sebastián Mestre Chris Long Penny Newman Ralf Buechsenschuss Sebastian Knepper Marcela Mury Joseph Frank, PhD CCP GWCCM Dave Fineman Ron Ben Oz Danielle Bushen Kimberly Rose Daorong Lin Sukumaran Mariappan Abhilash Bodanapu Sonia Mooney Kerrian Soong Jay Polaki⚡️ SHRM-SCP/SPHR Remco van Es Ken Clar Matt Elk Aulia Raubien Natalie Wiseman Graham Irene Wong David Balls (FCIPD) Olivier Bougarel Ramesh Karpagavinayagam Oliver Kasper Andrew Kilshaw Nick Hudgell Gal Mozes, PhD Tatu Westling Brandon Merritt Johnson UNLOCK THE POTENTIAL OF YOUR PEOPLE ANALYTICS FUNCTION THROUGH THE INSIGHT222 PEOPLE ANALYTICS PROGRAM At Insight222, our mission is to make organisations better by putting people analytics at the centre of business and upskilling the HR profession The Insight222 People Analytics Program® is your gateway to a world of knowledge, networking, and growth. Developed exclusively for people analytics leaders and their teams, the program equips you with the frameworks, guidance, learnings, and connections you need to create greater impact. As the landscape of people analytics becomes increasingly complex, with data, technology, and ethical considerations at the forefront, our program brings together over one hundred organisations to collectively address these shared challenges. Insight222 Peer Meetings, like this event in London, are a core component of the Insight222 People Analytics Program®. They allow participants to learn, network and co-create solutions together with the purpose of ultimately growing the business value that people analytics can deliver to their organisations. If you would like to learn more, contact us today. ABOUT THE AUTHOR David Green ?? is a globally respected author, speaker, conference chair, and executive consultant on people analytics, data-driven HR and the future of work. As Managing Partner and Executive Director at Insight222, he has overall responsibility for the delivery of the Insight222 People Analytics Program, which supports the advancement of people analytics in over 90 global organisations. Prior to co-founding Insight222, David accumulated over 20 years experience in the human resources and people analytics fields, including as Global Director of People Analytics Solutions at IBM. As such, David has extensive experience in helping organisations increase value, impact and focus from the wise and ethical use of people analytics. David also hosts the Digital HR Leaders Podcast and is an instructor for Insight222's myHRfuture Academy. His book, co-authored with Jonathan Ferrar, Excellence in People Analytics: How to use Workforce Data to Create Business Value was published in the summer of 2021. MEET ME AT THESE EVENTS I'll be speaking about people analytics, the future of work, and data driven HR at a number of upcoming events in 2024: September 11 - Productivity, Purpose, and Profit: How to thrive in ‘25 (London) September 16-19 - Workday Rising (Las Vegas) September 24-26 - Insight222 Global Executive Retreat (Colorado, US) - exclusively for member organisations of the Insight222 People Analytics Program October 2-3 - People Analytics World (New York) October 16-17 - UNLEASH World (Paris) October 22-23 - Insight222 North American Peer Meeting (hosted by Workday in Pleasanton, CA) - exclusively for member organisations of the Insight222 People Analytics Program November 12-14 - Workday Rising EMEA (London) November 19-20 - Insight222 European Peer Meeting (hosted by Merck in Darmstadt, Germany) - exclusively for member organisations of the Insight222 People Analytics Program More events will be added as they are confirmed.
    leadership
    2024年09月03日
  • leadership
    BetterUp Manage: Pioneering AI-Powered Platform For Leaders BetterUp公司最近在其Uplift大会上推出了一个名为BetterUp Manage的领导力发展平台，这一平台采用人工智能驱动的评估和个性化学习方案，彻底改变了专业发展的途径。该平台具有高度的可扩展性和可定制性，能够与Workday、Oracle和SAP等主要系统无缝连接。BetterUp Manage不仅为领导者提供服务，也支持任何寻求发展专业能力的个人。通过整合最新的人工智能技术，BetterUp Manage为传统的领导力培训行业带来了革命性的变革。 这次大会中，BetterUp还邀请了英国的哈里王子Prince Harry, Duke of Sussex 和亚当·格兰特，哈里王子是BetterUp的首席影响官。。。 This week I attended the BetterUp Uplift conference and I really was impressed. This is a company that exploded into the market with an innovative coaching and employee wellbeing network built around an assessment called the “whole person model.” Through a set of shrewd marketing and sales strategies BetterUp established a leadership position in this market, growing to a billion dollar+ valuation. This success encouraged many competitors to form and now the market for AI-enabled, targeted coaching is large and crowded (vendors include Torch, CoachHub, Growthspace, Sounding Board, Bravely, and a new breed of AI systems). Essentially what BetterUp did was democratize business and professional coaching. Before this trend coaching was a rarified, expensive offering reserved for under-performing leaders or high-potential executives. Today, with BetterUp, anyone can go through a meaningful assessment, get assigned a relevant coach, and start a coaching session in minutes. The system is well designed and easy to use and BetterUp’s coaches are all trained (most of the coaching vendors use a lot of the same certified coaches – they are not BetterUp employees). As a corporate solution, BetterUp goes much further. The data collected through assessments is available for analysis (anonymized) so companies can find pockets of stress in the organization. You can look at assessments by team (minimum of 10 people), tenure, level, and other factors. This lets companies like Chevron or Cisco understand the issues new employees or new managers have, for example. In the last few years the company moved into wellbeing by offering a solution called BetterUp Care, which targets benefits buyers. But the more strategic and interesting offering is the new platform I saw this week, now named BetterUp Manage (it was originally called Connect). BetterUp Manage is the first highly personalized, scalable management development platform I’ve seen. It brings together AI-enabled assessment, personalized learning, coaching, and AI-driven narrative support. It’s quite an impressive product, much of it was developed by the team at Motive, who was acquired by BetterUp in 2021. BetterUp Manage is an out of the box personalized leadership development solution. And you don’t need to be a “leader” to use it. The system steps you through the Whole Person assessment, then asks you questions about the types of soft-skills issues you face (many specific scenarios), and then gives you a customized learning path, week by week, along with a professional coach. Since it’s built on an AI platform there is very little manual work behind the scenes so it’s enormously scalable. Large companies will want to customize it and BetterUp is prepared for some of these requests. And the system connects to Workday, Oracle, SAP to automatically understand your role and level. The reason I’m so excited is this: the management training industry is a confusing, messy, red ocean. There are thousands of consultants, coaches, books, courses, and executive education programs. L&D executives have to constantly build custom solutions, evaluate vendors, and hope that an offering will stick. This pure complexity, coupled with the fact that every company is unique, has led to many specialized leadership development firms (and some big ones like Franklin Covey). So what most companies do is mix, match, and custom-build leadership solutions. And they’re not simple: we developed a model we call the 4-E’s to understand this: Education (courses), Experience (developmental assignments), Exposure (mentoring and coaching from leaders), and Environment (a company-wide focus on leadership values and behaviors). All these elements play a role in developing leadership skills. Companies like IBM, Cisco, and Marriot can afford to custom build these solutions, but many companies don’t have the focus. BetterUp Manage is a way to personalize, scale, and democratize this solution and leverage the increasingly important role of AI. I met Alexi Robichaux almost a decade ago and his passion and energy still drives the company. While BetterUp is a bigger company going through the growing pains of any $billion valued growth business, the culture and passion for clients is clear. Remember that buying L&D solutions is not as simple as buying a product and turning it on. Every training solution, platform, or program you buy must be carefully aligned with your company’s culture and rolled out with care. Otherwise people simply say “another training program from corporate I can ignore.” BetterUp, for all its startup-like innovations, has overcome this problem. Customers value the system, they get strong adoption from employees, and the company works hard to advise and consult. It has always been interesting to me that very few content companies ever become very big (Skillsoft is the only one that never seems to stop). And the reason for this is simply the nichey, highly diversified needs of many industries and companies. BetterUp, as a platform-centered company delivering a high-touch solution, has the potential to break this paradigm. It has enormous potential, given the rapid acceleration of AI behind the scenes. I consider BetterUp one of the “Trailblazers” I talk about with clients, and BetterUp Manage is definitely something to watch.
    leadership
    2024年04月12日
  • leadership
    世界幸福报告能教给我们关于工作的什么? What The World Happiness Report Teaches Us About Work 最新《世界幸福报告》揭示，尽管经济增长，美国幸福感下降。研究强调，高薪并非幸福的关键，而公平薪酬、良好的企业文化才是。特别是年轻人，受到气候变化、政治纷争等影响，幸福感低落。企业需关注文化建设、弹性工作，关照员工心理健康。工作场所的信任、社区感和公平至关重要。我们要反思：真正的幸福是什么？ 我每年都认真研读《世界幸福报告》，今年的报告特别引人深思。以下是我对一些关键发现的解读。 首先，美国的幸福指数（10分满分）降至第23位，比全球最幸福的国家芬兰低了13%。实际上，在过去15年中，美国的幸福度几乎下降了8%，呈现出持续的年降趋势。对于我们这些生活在美国的人来说，这可能并不陌生：坏消息、政治争斗以及人们在价值观上的分歧似乎无处不在。 这一切发生的同时，美国的GDP增长却持续领先世界上大多数主要经济体。这意味着我们作为一个国家正在变得更加富裕，却显著地变得不那么幸福（下文将详细解释）。 从企业角度来看，这个观点很简单：仅仅提高薪资并不能使人们感到更加幸福。尽管每个人都希望得到公平的报酬，但高薪酬并不直接转化为高参与度。我们2023年的《薪酬公平终极指南》发现，与薪酬水平相比，薪酬公平与员工参与度的关联性高出7倍。 其次，报告指出，在美国，年轻人的幸福感明显低于老年人（这一点并非在所有国家都适用，但在大多数发达国家中是这样的）。在美国，30岁以下人群的幸福评分为6.4，而60岁以上人群的评分为7.3，幸福度低了12%。我们对年轻人的这一低幸福评分使美国在全球青年幸福排行榜上仅位列第62位，远低于我们的总体排名。 这反映出我在上周播客中讨论的现象。如今的年轻工作者担忧全球变暖，他们在年轻时就经历了疫情的冲击，他们对于战争、通货膨胀、社会问题以及政治不和感到沮丧。埃德曼信任度量尺表明，年轻人认为相比政府，企业在为社会带来创新方面更值得信赖，高出近20%。但令人担忧的是，这种信任程度也在下滑。 从企业的视角来看，这进一步强化了播客中提到的观点：我们（美国）的劳动力中位年龄现已达到33岁。这表明许多关键员工对生活的热情有所下降，这迫使雇主需要采取更多措施。我们对企业文化、员工福祉、工作灵活性和个人成长的关注，现在比以往任何时候都显得更为重要。这就是像四天工作周、灵活工作时间以及其他诸多福利（如生育支持、儿童看护、心理健康、健身、财务福利）变得越来越普遍的原因。 （最新的劳动统计局数据显示，我们在福利上的支出占工资总额的31.1%，比三年前的29%有所增加。在信息行业，这个比例高达35.5%，是有史以来的最高值。） 此外，重点强调：对企业来说，重振早期职业发展计划至关重要。许多企业在20世纪60、70年代建立了这些计划，但随后这些计划逐渐被忽视。如果你正在从大学招聘顶尖人才，并投资于校园招聘（这一趋势正在上升），那么确保你有一个坚实的1-2年发展计划、工作轮岗以及面向年轻人的群体参与计划是非常重要的。我最近与康卡斯特讨论了他们的计划，他们的早期职业发展计划正在直接为他们的领导力管道做出贡献。 第三，也是最引人注目的一点是，报告强调了社会关系和信任在幸福感中的巨大作用。进行这项研究的学者团队发现，幸福感的“坎特里尔阶梯”（一个简单的“你觉得自己多幸福”的1-10评分问题）可以分解为六个贡献因素： 人均GDP（财富）、社会支持（密切关系的数量和质量）、预期寿命（健康）、生活选择的自由（按个人意愿生活的能力）、慷慨（向他人给予金钱和时间的倾向）以及腐败感知（相信“系统”是公平的）。 这些因素对幸福的贡献度大开眼界。 令人惊讶的是，社会关系是幸福感的最大贡献者，而健康只占大约1.4%。请注意，第二重要的因素是对腐败的感知或者说是公平感，这解释了为什么薪酬公平非常重要。我们再次发现，财富对幸福感的影响相对较小。 这对我们的工作有何启示？ 这里有一些简单的启示： 关系很重要。如果管理层和主管不能建立起团队合作感，员工便会感到不适。尽管我们面临财务和运营压力，但我们仍需抽时间了解员工、倾听他们的声音，并与他们共度愉快时光。通过聚集人员并创建跨功能团队，我们即使在远程工作情况下也能建立社交关系。 信任至关重要。我曾在高层领导贪婪、不忠、不诚实的环境中工作过，公司内的每个人都能感觉到这一点。信任是经年累月建立起来的资产，我们必须不断地进行投资。通过道德、诚实和倾听来培养信任，你的领导模式中包含了这些元素吗？ 薪酬的影响可能比你想象的要小。虽然每个人都希望赚更多钱，但人们更希望感觉到奖励是公平且慷慨的。因此，不应仅仅过度奖励表现突出的员工，而忽视其他人的努力。 生活选择的自由极为重要。众多研究显示，与薪资相比，员工更加重视工作的灵活性，因此，考虑将四天工作周和灵活工作选项作为你的雇佣政策的核心部分是非常重要的。 多年前，我在一个人力资源领导者的大型会议上发表了关于企业公民责任的演讲。我指出，公司就像小型社会一样，如果我们的企业“社会”不公平、不透明、不自由，那么我们的员工就会感受到痛苦。演讲结束时，我不确定听众的反应如何，但来自宜家的一大群人向我走来，给了我一个热情的拥抱。宜家这家公司，深深植根于瑞典的社会主义文化，是地球上最长久的公司之一。他们真心相信集体思维、公平和对每个个体的尊重。 原文来自：https://joshbersin.com/2024/03/what-the-world-happiness-report-can-teach-us-about-work/
    leadership
    2024年03月22日
  • leadership
    Josh Bersin谈How To Create Talent Density 如何打造人才密度 Josh Bersin发表文章谈到：在过去几年里，我注意到大公司的表现开始不如小公司。我们现在看到苹果和谷歌都出现了这种情况，而微软应对这一挑战也有相当长的一段时间了。 随着公司的发展，帮助我们推动组织绩效的一个重要理念就是人才密度。这篇文章讨论了人才密度的概念，即公司中技能、能力和表现的质量和密度。强调传统的员工绩效评估模型已导致平庸。建议采用人才密度方法，包括招聘增加或乘数效应的人才，基于帕累托分布管理绩效，以及专注于赋权、反馈和领导力。文章强调，为了创新和市场竞争力，尤其在AI和技术进步的背景下，维持高人才密度的重要性。 In this (long) article, I want to talk about a new concept called Talent density. And as I pondered the concept I think it represents one of the more important topics in management. So I hope you find it as interesting as I do. First of all, the concept of talent density, pioneered by Netflix by the way, is simple. Talent Density is the quality and density of skills, capabilities and performance you have in your company. So, if you have a company that is 100% high performers, you’re very dense. If you have a company that’s 20% high performers, you’re not very dense. It’s easy to understand, but hard to implement, because it gets to the point of how we define performance, how we select people to hire, how we decide who’s going to get promoted, how we decide who’s going to work on what project and how we’re going to distribute pay. So before I explain talent density, let’s talk about the basic beliefs most companies have. Most organizations believe that they’re operating with a normal distribution or bell curve of performance. I don’t know why that statistical model has been applied to organizations, but it has become almost a standard policy. (Academics have proven it false, as I explain below.) Using the bell curve, we identify the “mean” or average performance, and then categorize performance into five levels. Number ones are two standard deviations to the right and number fives are two standard deviations to the left. The people operating at level one get a big raise, the people operating at level two get medium raise, the people operating at level three get an average raise, the people operating at level four get a below average raise and the people operating at level five probably need to leave. Lots of politics in the process, but that’s typically how it works. As I describe in The Myth of The Bell Curve, these performance and pay strategies have been used for decades. And at scale they create a mediocrity-centered organization, because the statistics limit the quantity and value of 1’s. If you’re operating at 1 level and you get a 2, you’ll quit. If you’re operating at 3 level, you’re probably going to coast. You get my drift. And since the bulk of the company is rated 2 or 3, most of the managers are in the middle. As the saying goes, A managers hire A people, B managers hire C people. So over time, if not constantly tuned, we end up with an organization that is almost destined to be medium in performance. Now I’m not saying every company goes through this process, but if you look at the productivity per employee in large organizations it’s almost always below that of smaller organizations. Why? Because as organizations grow, the talent density declines. (Netflix, as an example, example, generates almost $3M of revenue per employee, twice that of Google and 10X that of Disney. And they are the only profitable streaming company, with fewer than 20,000 employees and a $240 billion market cap.) The traditional model was fine in the industrial age when we had a surplus of talent, jobs were clearly defined, and most employees were measure by the “number of widgets they produced.” In those days we could swap out a “low performer” for a “high performer” because there were lots of people in the job market. We don’t live in that world anymore. The world we now live in has sub 4% unemployment, a constant shortage of key skills, and a growing shortage of labor. And thanks to automation and AI, the revenue or value per person has skyrocketed, almost an order of magnitude higher than it was 30 years ago. So we need a better way to think about performance in a world where companies with fewer people can outperform those who get too big. Look at how Salesforce, Google, Apple, who are essentially creative companies, have slowed their ability to innovate as they get bigger. Look at how OpenAI, who is a tiny company, is outperforming Google and Microsoft. Today most businesses outperform through innovation, time to market, customer intimacy, or IP – not through scale or “harder work.” How do we maintain a high level of talent density when we’re growing the company and hiring lots of people? Netflix wrote the book on this, so let me give you the story. First, the hiring process should focus on talent density, not butts in seats. Rather than hire someone to “fill a role” we look for someone who is additive or multiplicative to the entire team. Hire someone that challenges the status quo and brings new ideas, skills, and ideas beyond the “job” as defined. Netflix values courage, innovation, selflessness, inclusion, and teamwork, for example. These are not statements about “doing your job as defined.” Netflix’s idea is that each incremental hire should make everybody else in the company and everybody else in the team produce at a higher level. Now this is a threatening thing for an insecure manager because most managers don’t want to hire somebody that could take their job away. But that’s why we have this problem. Second, we need to manage or create some type of performance management process that is built around the Pareto distribution (also called the Power Law) and not the normal distribution. In the Pareto distribution or the power law, we have a small number of people who generate an outsized level of performance, you can call it the 80/20 rule or the 90/10 rule. (20% of the people do 80% of the work) Studies have shown that companies and many populations work this way, and it makes sense. Think about athletes, where a small number of super athletes are 2-3 better than their peers. The same thing is true in music, science, and entertainment. It’s also true in sales and many business disciplines. Research conducted in 2011 and 2012 by Ernest O’Boyle Jr. and Herman Aguinis (633,263 researchers, entertainers, politicians, and athletes in a total of 198 samples). found that performance in 94 percent of these groups did not follow a normal distribution. Rather these groups fall into what is called a “Power Law” distribution. In every population of human beings there are a few people who just have God-given gifts to outperform in the job, and they just naturally seem to be far better than everyone else. Bill Gates once told the company that there were of the three engineers that he felt made the company of Microsoft. And I’ve heard this in many other companies, where one software engineer and the right role can do the work of 10 other people. Now, this is not to say that everybody will fall into one level of the Pareto distribution. At a given point in time in your career, you may be in the 80% and over time, as you learn and grow and find the things that you’re naturally good at, you’ll end up in the 20%. But in a given company this is a dynamic that’s constantly taking place. And that’s what Netflix is doing – constantly working on talent density. What does this mean for performance management? It means that in order to care for a population like this, we have to hire differently, avoid the bell curve, and pay high performers well. Not just a little more than everybody else, a lot more. And that’s what happens in sports and entertainment, so why not in business. If you look at companies like Google, Microsoft, and others, there are individuals in those companies that make two to three times more than their peers. And as long as these decisions are made based on performance, people are fine with it. What obviously does not work is when person making all the money is the person who’s the best politician, best looking, or most popular. And that leads me to item three: In the Netflix culture there’s a massive amount of empowerment, 360 feedback, candor and honesty. You’ve probably read the Netflix culture manifesto: it’s all about the need for people to be honest, to speak truth, to give each other feedback, and to focus on judgement, courage, and accountability. Netflix only recently added job levels: they didn’t have job levels for many years. Giving people feedback is a challenge because it’s uncomfortable. So this has to to start at the top and it has to be done in a developmental, honest way. This does not mean people should threaten or disparage each other, but we all need to know that at the end of a project or the end of the meeting it’s okay for somebody to tell us “here’s what was great about that and here’s what wasn’t great about it.” One of the most important institutions in the world, the US military lives, eats and dies by this process. If you’re in the military and you mess something up, you can guarantee that somebody’s going to tell you about it, and you’re going to get some help making sure you don’t do it again. We don’t have life or death situations in companies, but we can certainly use this kind of discipline. The fourth thing that matters in talent density is leadership and goal setting. One of the things that really gets in the way of a high performing company is too many individual goals, too many siloed projects and responsibilities and people not seeing the big picture. If your goal setting and performance management process is 100% based on individual performance you are sub-optimizing your company. Not only does this work against teamwork, but there really isn’t a single thing in a company that anybody can do alone. So our performance management research continuously shows that people should be rewarded for both their achievements as well as that of the team. (Here’s the research to explain.) Why is talent density important right now? Let me mention a few reasons. First, we’re entering a period of low unemployment so every hire is going to be challenging. And thanks to AI, companies are going to be able to operate with smaller teams. What better time to think about how to “trim down” your company so it’s performing at its best? Second, the transformations from AI are going to require a lot of flexibility and learning agility in your company. You want a highly focused, well aligned team to help make that happen. And while AI will help every company improve, your ability to leverage AI quickly will turn into a competitive advantage (think back about how web and digital and e-commerce did the same). (I firmly believe the companies with the most ingenious applications of AI will disrupt their competitors. I’m still amazed at Whole Food’s hand recognition checkout process: I can see self-service coffee, groceries, and other retail and hospitality coming.) Third, the post-industrial business world is going to start to devalue huge, lumbering organizations. Many big companies just need a lot of people, but as Southwest Airlines taught us long ago, it’s the small team that performs well. So if you can’t break your company into small high-performing teams, your talent density will suffer. When the book is written on Apple’s $10 Billion car, I bet one problem was the size and scale of the team. We’ll see soon enough. By the way, I still recommend everyone read “The Mythical Man-Month,” which to me is the bible of organizing around small teams. What if you’re a healthcare provider, retailer, manufacturer, hospitality company? Does talent density apply to you? Absolutely! Go into a Costco and see how happy and engaged the employees are. Then go into a poorly run retailer and you’ll feel the difference. In my book Irresistible I give examples of companies who embrace what I call “the unquenchable power of the human spirit.” Nobody wants to feel like they’re underperforming. With the right focus on accountability and growth we can help everyone out-perform their expectations. Now is a time rethink how our organizations work. Not only should we promote and reward the hyper-performers, the Pareto rule and Talent Density thinking encourage us to help mid-level performers learn, grow, and transform themselves into superstars. Let’s throw away the old ideas of bell curve, forced distribution, and simplistic performance management. Companies that push for everlasting high performance are energizing places to work, they deliver outstanding products and services, and they’re great investments for stakeholders.   AI中文翻译： 在这篇篇幅较长的文章中，我想探讨一个被称为“人才密度”的新概念。思考此概念时，我认为它是管理领域中极其重要的议题之一。希望您能像我一样发现其趣味性。 首先，Netflix首创的“人才密度”概念其实很简单。 人才密度指的是公司内部技能、能力和表现的质量与密集程度。 换句话说，如果你的公司全是高绩效人才，那么你的“人才密度”就很高。如果只有20%是高绩效人才，那么你的“人才密度”就不高。这个概念虽然容易理解，但实际执行起来却颇具挑战，因为它涉及到我们如何定义绩效、招聘员工的标准、晋升决策、项目分配以及薪酬分配。 在详细解释“人才密度”之前，让我们先看看大多数公司的基本信念。许多组织相信，他们的员工表现遵循一个正态分布或钟形曲线。这个统计模型为何被广泛应用于组织之中，我并不清楚，但它几乎已成为标准做法。（实际上，如我下文将解释的，学术研究已证明这一模型是错误的。） 采用钟形曲线，我们确定平均表现（即“平均线”），然后将员工的表现划分为五个等级。表现最好的被归为一级，标准为右偏两个标准差；表现最差的被归为五级，左偏两个标准差。 一级表现者获得大幅度加薪，二级表现者获得中等加薪，三级表现者获得平均水平的加薪，四级表现者加薪低于平均，五级表现者可能就需要离开公司了。虽然这个过程充满了政治操作，但这就是它通常的运作方式。 正如我在《钟形曲线的神话》中所述，这些关于绩效和薪酬的策略已经使用了数十年。而且，当这些策略在大规模下实施时，它们会造成以平庸为中心的组织文化，因为这种统计方法限制了顶尖人才的数量和价值。如果你是一级表现者却被评为二级，你很可能就会选择离职。如果你是三级表现者，你可能就会选择安于现状。你应该明白我的意思了。而且，由于大部分员工的评级为二级或三级，大多数管理者也就处于中等水平。 常言道，A级的管理者招聘A级人才，B级的管理者则招聘C级人才。因此，如果不持续进行优化调整，组织最终几乎注定会变得中庸。 我并不是说每家公司都会经历这一过程，但如果你查看大型组织的员工生产率，通常都低于小型组织的生产率。为什么呢？因为随着组织规模的扩大，“人才密度”往往会下降。（以Netflix为例，其每名员工创造的收入几乎为300万美元，是Google的两倍，是迪士尼的十倍。他们是唯一盈利的流媒体公司，员工不足20,000人，市值2400亿美元。） 在工业时代，人才供过于求，工作职责明确，大多数员工的表现以“生产的产品数量”来衡量。那个时候，低绩效者可以轻松地被高绩效者替换，因为劳动市场上有大量的人才可供选择。 但我们不再生活在那个时代了。在我们现在的世界里，失业率低于4%，关键技能持续短缺，劳动力整体也日益减少。而且，得益于自动化和AI技术，每位员工创造的收入或价值比30年前高出了几个数量级。 因此，在一个人员更少的公司可以超越体量更大的公司的世界中，我们需要一种更好的绩效思考方式。看看Salesforce、Google、Apple这些本质上依靠创新的公司，随着规模扩大，它们的创新能力如何变缓。再看看OpenAI，尽管是一个小公司，却在超越Google和Microsoft。 如今，大多数企业通过创新、市场响应速度、客户亲密度或知识产权而非规模或“更加努力的工作”来实现超越。 在我们不断发展公司并招聘大量人员的同时，我们如何保持高水平的“人才密度”？Netflix在此领域有着开创性的工作，让我来分享一下他们的故事。 首先，招聘过程应专注于提高“人才密度”，而不是仅仅为了填补空缺。我们寻找的不是简单地“填补一个角色”的人，而是能够为整个团队带来正面或倍增效果的人才。我们寻找的是那些能够挑战现状、带来新观点和技能，并超出传统“工作定义”的人。例如，Netflix重视勇气、创新、无私、包容和团队合作等价值观，并不仅仅是“完成既定工作”。 Netflix的理念是，每一次新增的招聘都应该使公司内每个人和团队的每个成员的生产力得到提升。这对于那些缺乏安全感的管理者来说可能是个挑战，因为大多数管理者并不希望招聘可能会取代他们的人。但正是这种思维方式导致了我们当前的问题。 其次，我们需要建立或改进一种围绕帕累托分布（也称作幂律分布）而非正态分布的绩效管理流程。在帕累托分布或幂律分布中，少数人贡献了超出常规的绩效水平，这可以称作80/20规则或90/10规则。（即20%的人完成了80%的工作） 研究显示，许多公司和人群实际上都是以这种方式运作的，这是合理的。想想那些在体育、音乐、科学和娱乐领域表现出色的人，其中少数顶尖人才的表现是同龄人的两到三倍。销售和许多商业领域也是如此。 2011年和2012年由Ernest O’Boyle Jr.和Herman Aguinis进行的研究（涵盖了633,263名研究人员、艺术家、政治家和运动员，共198个样本）发现，这94%的群体的表现并不遵循正态分布，而是呈现所谓的“幂律分布”。 在每个人群中，总有少数人因为天赋异禀，在工作中表现出色，自然而然地比其他人优秀得多。 比尔·盖茨曾经对微软说过，他认为公司中的三名工程师是公司的基石。我也在许多其他公司听到过类似的故事，其中一位软件工程师在合适的位置上可以完成其他十人的工作量。 这并不意味着每个人都将被归入帕累托分布的某一层级。在你职业生涯的某个阶段，你可能处于80%的群体中，但随着你不断学习、成长并找到自己真正擅长的领域，你最终可能进入20%的群体。但在任何一个公司，这种动态都在不断发生。这就是Netflix一直在努力提升“人才密度”的原因。 这对绩效管理意味着什么？这意味着，为了照顾这样一个群体，我们必须采取不同的招聘方式，避免使用钟形曲线，并且为高绩效者提供丰厚的薪酬。这不仅仅是支付比其他人稍微多一点的薪水，而是要多得多。这在体育和娱乐领域已经是常态，那么为什么不可以应用到商业领域呢？ 如果你观察Google、Microsoft等公司，你会发现，这些公司中的个别人物赚取的收入是他们同事的两到三倍。只要这些决策基于绩效，大家通常都能接受它。 当然，不起作用的情况是，赚取高薪的是那些最擅长政治、外表最出众或最受欢迎的人。 这就引出了第三点：在Netflix的文化中，存在着大量的授权、360度反馈、直率和诚实。您可能已经读过Netflix的文化宣言，它强调人们需要诚实、坦诚、互相提供反馈，并专注于判断力、勇气和责任感。直到最近，Netflix才引入了职级制度——在很多年里，他们根本没有职级制度。 提供反馈是挑战性的，因为这会使人感到不适。因此，这个过程必须从高层开始，并以一种促进发展、诚实的方式进行。这并不意味着人们应互相威胁或贬低，但我们都需要明白，在项目结束或会议结束时，对方告诉我们“这是成功之处，这是失败之处”是完全可以接受的。 美国军队是世界上最重要的机构之一，它依靠这种过程生存、发展和克服困难。如果你在军队犯错，你可以确信会有人告诉你，并且你会得到帮助以确保你不会再犯同样的错误。虽然公司里没有生死攸关的情况，但我们完全可以借鉴这种纪律性。 在“人才密度”中很重要的第四点是领导力和目标设定。阻碍高绩效公司发展的一个常见问题是过多的个人目标、孤立的项目和职责，以及员工无法看到整体大局。 如果你的目标设定和绩效管理过程完全基于个人表现，那么你就在削弱你的公司。这不仅阻碍了团队合作，而且实际上没有什么是公司内任何人能够独立完成的。因此，我们的绩效管理研究不断表明，人们应该同时因其个人成就和团队成就而获得奖励。（这是相关的研究。） 为什么“人才密度”在当前尤为重要？我来列举几个原因。 首先，我们正处于一个失业率低的时期，因此每次招聘都将是一个挑战。而且，随着AI技术的帮助，公司将能够以更小的团队运作。在这样一个时刻，有什么比考虑如何“精简”你的公司、使其发挥最佳表现更合适的时机呢？ 其次，随着AI的变革，你的公司将需要极大的灵活性和学习适应能力。你需要一个高度专注、良好协调的团队来实现这一目标。而且，尽管AI将帮助每个公司提高效率，但你快速应用AI的能力将变成一个竞争优势（回想一下网站、数字化和电子商务如何实现了同样的事情）。 （我坚信，那些能够巧妙应用AI的公司将会颠覆它们的竞争对手。我对Whole Foods的手掌识别结账过程仍感到惊讶：我预见到自助服务咖啡、杂货及其他零售和酒店业务的出现。） 第三，后工业时代的商业世界将开始贬低庞大、笨重的组织。许多大公司只是需要大量员工，但正如西南航空所示，小团队的表现通常更好。因此，如果你无法将你的公司划分为小型高效团队，你的“人才密度”将受到影响。 当有关Apple的100亿美元汽车项目的书籍编写时，我敢打赌问题之一将是团队的规模和规模。我们很快就会发现。顺便说一下，我还是推荐每个人阅读《神话般的人月》，对我而言，这本书是关于围绕小团队进行组织的经典之作。 如果你是医疗服务提供者、零售商、制造商或酒店业者，“人才密度”是否适用于你？当然适用！走进一家Costco，看看员工是多么的开心和投入。然后走进一个管理混乱的零售商，你就能感受到区别。 在我的书《不可抗拒》中，我列出了那些拥抱我所称之为“人类精神不可磨灭力量”的公司的例子。没有人愿意觉得自己表现不佳。通过适当的关注责任和成长，我们可以帮助每个人超越他们自己的期望。 现在是时候重新考虑我们的组织如何运作了。我们不仅应该提升和奖励顶尖表现者，帕累托法则和“人才密度”思维还鼓励我们帮助中等表现者学习、成长，并将自己转变为明星。 让我们抛弃旧的钟形曲线、强制分配和简单化绩效管理的想法。不断追求高绩效的公司是充满活力的工作场所，他们提供卓越的产品和服务，并且对投资者而言是极好的投资。
    leadership
    2024年03月10日
    • 12
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