• HR strategy
    2025年美国各州最低工资新政：25州上调，工资版图重塑企业用工成本 2025年，美国的最低工资版图迎来新一轮变动。根据 PrimePay 最新发布的《2025 State Minimum Wage & Tax Facts》报告，共有25个州上调最低工资，其中 华盛顿州以 $16.66/小时领跑全国，加州、纽约紧随其后。对于在美运营的华人企业与HR团队而言，这意味着薪酬预算、远程用工与跨州合规将面临更复杂的挑战。 过去，企业多将最低工资视为“合规底线”；但如今，它正成为影响人力成本、人才吸引力与品牌竞争力的战略变量。报告同时指出，多个州已将最低工资与CPI挂钩，未来几年将持续动态调整，HR必须提前纳入年度薪酬规划。 在这篇分析中，我们将带你看清2025年各州最低工资的新格局，拆解上调趋势背后的政策逻辑，并提供应对策略，帮助企业在人力成本上升周期中保持韧性与竞争力。 在美国2025年的劳动力市场版图中，最低工资的持续上调正成为影响企业用工预算和跨州雇佣策略的关键因素。根据人力资源与薪酬管理平台 PrimePay 发布的《2025 State Minimum Wage & Tax Facts》报告，截至2025年1月1日，全美共有25个州计划提高最低工资标准，其中包括加州、纽约、华盛顿、伊利诺伊和佛罗里达等主要经济州。 快速了解： 联邦最低工资仍为 $7.25/小时（自2009年以来未变）。 多数州已高于联邦标准，2025年超过30个州再次上调。 最高时薪：华盛顿州 $16.66，紧随其后为加州 $16.50。 涨幅最大的州： 密歇根州：从 $10.33 → $12.48（上涨 $2.15） 特拉华州：从 $13.25 → $15.00（上涨 $1.75） 内布拉斯加州：从 $12.00 → $13.50（上涨 $1.50） 仍采用联邦标准的州（如阿拉巴马、密西西比、路易斯安那等）保持 $7.25。 小费员工制度差异显著：部分州（如加州、阿拉斯加）不允许“Tip Credit”，需支付全额最低工资。 最低工资持续攀升：加州与华盛顿领跑全国 报告显示，华盛顿州以 $16.66/小时 继续位列全美最高；加利福尼亚州的最低工资为 $16.50/小时，紧随其后。纽约州的标准为 $15.50/小时，其中纽约市、长岛和威彻斯特等地区的标准更高，反映出生活成本与区域差异的直接关联。 俄勒冈州（$14.70） 与 科罗拉多州（$14.81） 也维持较高水平，反映西岸与山地州整体工资通胀趋势。相比之下，德克萨斯州、佛罗里达州、北卡罗来纳州 等南部州仍维持 联邦标准 $7.25/小时，形成明显的区域分化。 小费员工与青年劳动者：补贴机制差距扩大 PrimePay 数据显示，小费类岗位（如餐饮业服务员）在不同州的现金工资差异显著。 纽约州的最低现金工资为 $10.35，允许最高 $5.15 的小费抵扣。 佛罗里达州则规定现金工资 $8.98、小费抵扣 $4.02。 相比之下，德州与北卡州仅按联邦水平执行（现金工资 $2.13、小费抵扣 $5.12），显示出对服务业雇主的较强成本保护。 在青年工人方面，多数州仍允许 $4.25/小时 的“培训期工资”（Youth Minimum Wage），适用于16岁以下或受训不足90天的员工。 政策趋势：生活成本挂钩机制将成为主流 2025年起，多个州（包括亚利桑那、科罗拉多、俄勒冈）已将最低工资与 CPI（消费价格指数） 挂钩，形成“自动调整机制”。这意味着企业需在薪酬预算中长期纳入通胀因子，而非等待立法调整。 佛罗里达州的宪法修正案同样规定，每年9月根据生活成本调整最低工资，预计2026年将进一步上调至 $15/小时。 对雇主的启示：跨州用工与远程员工合规挑战升级 PrimePay 报告提醒，随着远程工作成为常态，跨州员工的最低工资与预扣税差异 成为HR与薪资团队必须面对的新合规挑战。例如： 加州员工远程为德州企业工作，仍需遵守加州劳动法规； 华盛顿州与俄勒冈州的工资、税率、失业保险基数（分别为$72,800与$54,300）显著高于南部州，对雇主的预算影响直接。 同时，部分州（如纽约、马萨诸塞、华盛顿）还对奖金与补充工资征收更高的预扣税率（介于5.75%至11.7%），增加了薪资计算的复杂性。 结语：最低工资不只是数字，更是企业竞争力的映射 最低工资调整不再仅是劳动政策议题，而是企业雇主品牌、薪酬策略与用工模式重塑的重要变量。随着AI、自动化与远程用工的加速融合，企业需要更加精细化地平衡“人工成本”与“人力价值”。 在2025年这个“劳动力结构再平衡”的关键节点，HR与财务团队必须把最低工资视为战略指标，而非单纯的合规项。 原文来自：https://primepay.com/blog/minimum-wage-by-state/ 推荐访问查看详细
    HR strategy
    2025年11月11日
  • HR strategy
    隐性的人才危机：Workday《2025全球劳动力报告》解读 概述：Workday最新发布的《2025全球劳动力报告》揭示了一场正在组织内部酝酿的人才危机。虽然外部招聘市场依旧活跃，职位需求在2025年上半年同比增长6%，但内部情况却截然不同：晋升率在10个行业中的11个下滑，内部招聘减少8%，员工发展通道受阻。尤其值得关注的是，高绩效员工正加速离职——零售行业同比上升64%，医疗健康行业上升28%，这对企业的韧性与创新能力构成严重威胁。 报告指出，传统职业晋升路径正在失效，企业更倾向于招聘外部候选人，而内部员工缺乏成长与轮岗机会，导致敬业度和忠诚度下降。同时，AI战略的沟通不畅进一步加剧了焦虑。44%涉及AI的员工评论带有负面情绪，55%的求职者认为AI已经减少了就业机会。管理者在转型中承受巨大压力，但缺乏工具和支持，形成了“夹心层”困境。 应对这一危机，报告提出三大方向：一是重塑职业发展路径，提供横向调动、项目轮岗和技能提升机会；二是优先推动内部流动，利用数据与AI匹配人才与岗位；三是加强透明沟通，特别是围绕AI的愿景与应用，帮助员工将AI视为成长工具而非威胁。Workday自身的案例表明，以人为本的AI应用能够提升生产力与员工信心，增强战略一致性。 报告的核心结论是：未来的人才竞争关键不在于“外部招聘更快”，而在于“留住最好的人”。只有通过重建内部信任与成长路径，企业才能在AI时代保持竞争优势。 在全球劳动力市场看似稳定的表象之下，一场深层次的人才危机正在酝酿。Workday在其最新发布的《2025全球劳动力报告》中揭示了一个值得企业高度警惕的事实：外部招聘依旧活跃，但组织内部的人才发展体系正在崩塌。晋升机会锐减、内部流动停滞、高绩效员工加速出走，再加上AI战略沟通不足带来的焦虑感，正在形成一股“隐性的离职潮”，对企业的竞争力和未来发展构成巨大威胁。本文将围绕报告中的关键发现和建议，进行深入解读。 外部市场的表象繁荣与内部困境的对比 报告指出，从宏观数据看，全球招聘需求仍在上升。2025年上半年职位需求同比增长6%，某些行业甚至保持了高速扩张。例如，酒店业职位需求同比增长61%，科技与通信行业增长29%。这说明企业仍在积极寻找外部人才，尤其在疫情后快速复苏的行业中表现明显。 然而，与外部的繁荣相比，组织内部的情况却显得格外冷清。内部晋升率在过去一年下降了8%，10个主要行业中有11个出现了“晋升衰退”。这种外部热、内部冷的矛盾，正是当前人才危机的根源。表面上的招聘火热掩盖了内部人才管理的空心化，员工缺乏成长与发展的空间，导致敬业度下降和离职意愿增强。 高绩效员工的加速流失 报告中特别强调，高绩效人才正成为离职的“主力军”。 在零售行业，高绩效员工的离职率同比增长64%。 在医疗健康行业，这一数字也高达28%。 这意味着，最能创造价值、推动业绩的员工正在大量流失。他们离开的原因并不是外部市场更具吸引力，而是内部缺乏清晰的成长通道和发展空间。换句话说，他们不是“不想留下”，而是“留不下去”。 更为严重的是，这种趋势不仅仅是人员流动问题，而是组织韧性的流失。高绩效人才的离开往往带走了关键知识、客户关系和创新动力，对企业的打击远大于普通员工离职。 晋升衰退与职业发展死胡同 “晋升衰退”（Promotion Recession）是报告中的高频词。晋升率下降意味着员工在组织内部看不到未来。 内部调动和横向发展机会不足。 企业管理者更倾向于招聘外部候选人，而不是信任和培养内部人才。 这种倾向表面上似乎有利于引入新鲜血液，但长期而言削弱了组织的忠诚度和凝聚力。员工如果在企业中无法获得横向调动、跨部门学习或参与关键项目的机会，就会感到被忽视，最终选择跳槽。 因此，报告提出“重塑职业发展路径”的理念：不仅要提供纵向晋升，还要设计横向项目轮岗、技能提升和跨部门合作，让员工在不同的成长维度中保持挑战感和价值感。 AI战略沟通不畅引发员工焦虑 AI正在重塑工作方式，但报告揭示出另一个被忽视的问题：AI战略的沟通不畅。 44%涉及AI战略的员工评论带有负面情绪。 55%的求职者认为AI已经减少了就业机会。 近一半员工表示，他们对AI如何影响岗位和未来缺乏清晰理解。 这说明，虽然企业高层有明确的AI发展愿景，例如利用AI提高效率、减少低价值劳动、提升客户体验，但普通员工并没有从中看到自己的位置和未来。缺乏清晰沟通，使得AI不再是机遇，而成为焦虑的来源。 报告指出，AI的引入不仅是技术变革，更是文化转型。如果企业不能通过透明沟通、清晰的角色案例和系统性的培训来解释AI的作用，就会在组织内部制造恐慌，削弱员工对未来的信心。 管理者承受转型压力 在AI转型中，管理者的角色尤为关键。但数据显示，许多一线管理者缺乏足够的资源和支持： 他们在“变革资源和支持”的打分仅为7.06分。 在“风险评估”和“变革理由阐释”等维度上，得分也低于个人贡献者。 这意味着，管理者既要应对来自上层的战略压力，又要安抚基层员工的焦虑，却缺乏相应的工具和培训。这种“夹心层”的困境进一步拖慢了AI转型的步伐。 案例启示：Workday的EverydayAI计划 报告中引用了Workday自身的案例作为参考。通过“EverydayAI计划”，Workday在六个月内实现了显著成果： 80%的员工使用至少一款AI工具，比基准提高38%。 高绩效员工使用AI的可能性是其他人的两倍。 使用AI的员工更可能看到清晰的职业路径，并表现出更强的战略一致性。 这一案例表明，以人为本的AI战略不仅能提升效率，更能增强员工的归属感与成长感。核心在于将AI转型与文化、沟通和技能建设结合，而非仅仅依赖工具部署。 报告建议：重建内部信任与成长路径 为应对这场隐性的人才危机，报告提出了三大建议： 优先内部成长 提供可见的、个性化的职业发展机会。 将晋升、横向发展和技能培训与业务需求挂钩。 透明沟通战略方向 特别是关于AI的应用和影响，要保持一致、开放的沟通。 让员工理解AI并非威胁，而是成长的工具。 以人为本的AI应用 将AI用于释放员工时间、发现潜在机会、提升自主性和归属感。 建立反馈循环，帮助员工在使用中不断积累信心。 结语：人才危机的关键在“内部” 从宏观角度看，2025年的劳动力市场依旧活跃，但企业面临的真正挑战不在外部招聘，而在于内部人才体系的裂痕。晋升衰退、人才流失和AI焦虑并非孤立事件，而是信任和沟通不足导致的系统性问题。 未来的人才竞争不再仅仅是“招聘更快”，而是“留住最好的人”。这需要企业在AI时代重新定义职业发展与组织文化，让员工能够“在企业中成长”，而不是“绕开企业成长”。 换句话说，解决隐性的人才危机，核心不在技术，而在人心。
    HR strategy
    2025年09月12日
  • HR strategy
    The best HR & People Analytics articles of July 2025 HR如何在AI时代掌握主动？David Green发布的7月《Data Driven HR Monthly》汇集全球顶尖报告与实践，聚焦“技能+任务”新范式、AI对员工体验与倦怠的双面影响，以及CHRO在企业AI战略中的领导地位。BCG数据显示，印度AI使用率达92%，但全球员工对AI培训满意度仅36%。Upwork报告揭示：高效AI用户更易疲惫离职。McKinsey与Gartner呼吁HR重构组织模型与人才规划体系。本期还探讨神经多元、NASA人才图谱与“Vibe Coding”等创新实践。 I always enjoy spending time in India, so I was delighted to arrive in Delhi yesterday ahead of People Matters Tech HR later this week. I’ll be delivering the opening keynote on how HR leaders can ace the next curve of change as well as leading a workshop on the science of better decisions. I’m looking forward to catching up with fellow speakers such as Jason Averbook (tip: subscribe to his Now to Next blog, if you don’t already), Pushkaraj Bidwai, Mukesh Jain, and Shefali Raias well as immersing myself in what is happening in the Indian HR tech scene. In this month’s edition of the Data Driven HR Monthly, which comes against the backdrop of CEOs flexing on the impact of AI on jobs, I’ve included new research from BCG and Upwork on AI at work, and the role of HR. Marc Effron is spot on here with his assessment that CHROs need to be leading the strategic conversation with the executive team on their desire to reduce costs through job reduction enabled by AI: “CHROs can lead this conversation through organization, operating model and job design, where we should be experts.” I expect plenty of discussion at Tech HR on this topic as well as the wider impact of AI on work, the workforce, and the workplace. One of the messages, I’ll look to get across in my keynote is: AI guides, but humans decide. We must prioritise the ‘H’ in HR. This edition of the Data Driven HR Monthly is sponsored by our friends at TechWolf Skills, Tasks, and Workforce Intelligence: Navigating the AI Transformation This month’s edition highlights an important conversation from the TechWolf Podcast, recorded live in New York, featuring Marc Steven Ramos, global learning leader with 25+ years’ global transformation experience with Google, Microsoft, Accenture, Novartis, Oracle, and Cornerstone, and Jeroen Van Hautte ?, CTO & Co-Founder of TechWolf. The discussion explores how task-based intelligence complements skills data to create a complete view of workforce capabilities, empowering organizations to navigate one of the largest business transformations in history: the AI-driven redefinition of work. Skills without context can be ambiguous. Tasks ground them in real work, and that’s where change, productivity, and AI come together — Marc Ramos Why This Matters Now: The pace of change in the workforce is unprecedented. Leading enterprises are already recognizing that workforce intelligence - the ability to understand, predict, and act on how work is changing in real time - is no longer optional. From skills to skills + tasks + jobs: Combining these data points allows organizations to connect individual capabilities to tangible outputs and outcomes. AI as a catalyst: AI is accelerating job evolution, making real-time visibility into tasks and skills essential for workforce planning and redeployment. Strategic urgency for boards: Workforce automation isn’t a distant trend — it is reshaping workforces today, creating pressure on executives to act on reskilling, redeployment, and workforce design at speed. To really understand a skill, you need to understand the context in which it’s applied — the tasks. And that’s where AI can add transformative clarity — Jeroen Van Hautte For HR leaders, this is an opportunity to lead. With skills and tasks as the foundation, HR is uniquely positioned to drive cultural alignment, manage change, and deliver on the board-level mandate to prepare workforces for the AI era. Listen to the Episode: ?️ Marc Ramos & Jeroen Van Hautte on Tasks, Skills & the Future of Work (TechWolf website summary) To sponsor an edition of the Data Driven HR Monthly, and share your brand with more than 145,000 Data Driven HR Monthly subscribers, send an email to dgreen@zandel.org. JULY ROAD REPORT Until flying to Delhi yesterday, as mentioned above for Tech HR India later this week, July had been a light month of travel other than a short trip to Switzerland to run an AI workshop with the HR leadership team of one of the companies that are part of the Insight222 People Analytics Program. For those interested, one of my speaking engagements from earlier this year, at the Wharton People Analytics Conference, is now available to view (see below). In the talk, I explore the critical role of data democratisation and adoption in driving workforce insights, enhancing decision-making, and scaling HR’s strategic impact. I also share best practices from our work and research at Insight222 for making people analytics accessible to leaders and employees alike, the challenges of adoption, and the key investments required to unlock the full potential of workforce data. Enjoy! Share the love! Enjoy reading the collection of resources for July 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 June’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 usually published every other Tuesday – subscribe here – and read the latest edition. HYBRID, GENERATIVE AI AND THE FUTURE OF WORK BCG - AI at Work: Momentum Builds, but Gaps Remain | JOHN BRAZIER AND NICK SOUTH - BCG’s AI at Work 2025 report: Four takeaways for HR leaders Companies are realizing that merely introducing AI tools into existing ways of working isn’t enough to unlock their full potential. The real magic happens—and value generated —when businesses go further and reshape their workflows end-to-end. BCG’s annual AI at work global survey of employees is packed full of insights and guidance for business and HR leaders looking to maximise value, adoption and employee experience with AI. The key takeaways include: (1) AI is now part of our daily work lives: 72% of respondents are regular AI users (although adoption amongst frontline employees has stalled at 51%). (2) Investment in training, leadership support and access to the right tools can break this ceiling: Yet only 36% of employees are satisfied with their AI training. (3) The Global South is showing higher adoption of AI. India leads the pack with 92% of regular users compared to the US (64%), UK (68%) and Japan (51%). (4) The next frontier: from adoption to value with end-to-end redesign. One-half of respondents say their company is starting to reshape processes. These companies also invest more in their people – and it pays off (see FIG 1). (5) AI agents are not widely deployed. Only 13% see agents integrated into broader workflows (see FIG 2). Kudos to the authors: Vinciane Beauchene, Sylvain Duranton, Nipun Kalra, and David Martin. For HR leaders, I also recommend reading John Brazier’s interview with BCG’s Nick South about the implications of the report’s findings for HR on the UNLEASH blog. FIG 1: The relationship between workflow redesign due to AI and investment in people (Source: BCG) FIG 2: Use of AI agents (Source: BCG) GABBY BURLACU AND KELLY MONAHAN - From Tools to Teammates: Navigating the New Human-AI Relationship Full time employees getting the most done with AI are also the most burned out, disengaged, and disconnected from their teams. In their study for the Upwork Research Institute, Gabriela (Gabby) Burlacu and Kelly Monahan, Ph.D. identify a crucial message for the future of work: while AI is undeniably boosting productivity – with a reported 40% jump for many workers – it's also creating a human paradox. Alarmingly, top AI performers are experiencing high burnout (88%) and are twice as likely to leave, often feeling disconnected from strategy and even trusting AI more than human colleagues (see FIG 3 and 4). The report offers three urgent calls to action for business leaders: (1) Redesign work for human-centered, AI-empowered talent and workflows, prioritising autonomy, trust and psychological safety. (2) Cultivate flexible and resilient talent ecosystems, combining full-time employees, freelancers, and AI capabilities to create agile, resilient, and high-performing teams. (3) Redefine AI strategies to focus on the end-to-end human experience, including new roles, norms, and governance. For HR leaders, these findings are a wake-up call. We must prioritise the relational side of AI, ensuring human connection, well-being, and purpose are augmented, not eroded. It's about preventing burnout in our most productive AI users, fostering alignment, and learning from agile models like freelancers to build a truly sustainable human-AI collaborative future. FIG 3: The human cost of AI productivity (Source: The Upwork Research Institute) FIG 4: The rise of human-like relationships with AI (Source: The Upwork Research Institute) COBUS GREYLING - Do AI Agents Substitute Human Workers — Or Enable Humans To Succeed In New Ways? | L. ELISA CELIS, LINGXIAO HUANG, AND NISHEETH K. VISHNOI - A Mathematical Framework for AI-Human Integration in Work AI Agents are good at tasks not jobs… In his article, Cobus Greyling provides an insightful and accessible analysis of a new study by Elisa Celis, Lingxiao Huang, and Nisheeth Vishnoi, which presents a mathematical framework that models jobs, workers, and worker-job fit, and introduces a novel decomposition of skills into decision-level and action-level subskills to reflect the complementary strengths of humans and GenAI. Greyling’s incisive analysis offers a helpful perspective for HR leaders navigating the future of work. His core message is clear: AI agents are fantastic at tasks, not entire jobs. They're not just substitutes, but powerful amplifiers of human capability, especially for less experienced workers, effectively compressing productivity gaps and fostering extraordinary collaboration. Here are four key learnings for HR: (1) Agentic AI Augments Human Potential: AI agents boost efficiency and performance, particularly for junior talent, by handling structured tasks and freeing humans for higher-order work. (2) Redefine Skills & Development: While AI takes on the mundane, HR must strategically ensure continuous skill development, focusing on uniquely human capabilities like judgment, creativity, and complex problem-solving. (3) Design for Human-AI Synergy: Organisational design must pivot to foster premium collaborations between humans and AI. It's about combining complementary strengths to achieve outcomes greater than the sum of the parts. (4) HR Leads Strategic Integration: Our role in HR is pivotal. We must orchestrate the strategic integration of agentic AI, balancing its efficiency gains with the imperative to preserve and nurture human ingenuity, driving both innovation and connection. FIG 5: Al for work: skill difficulty continuum (Source: Cobus Greyling) PEOPLE ANALYTICS KETAKI SODHI AND COLE NAPPER - Who Needs a “Human in the Loop” When AI Gives Itself Feedback Ketaki Sodhi, PhD, Program Owner for Agentic Listening and Analytics at Microsoft, and Cole Napper provide a fascinating perspective on the "human in the loop" concept for Generative AI, provocatively asking: which human, and how? This isn't just a technical question; it's where I/O Psychology and People Analytics come into their own. The article frames AI "evals"— the systems for assessing whether AI outputs are useful, accurate or aligned —as essentially performance management for Large Language Models. Just as we've wrestled with defining "good" in complex human knowledge work for decades, we now face the same challenge in building AI systems. In a world of infinite " " answers, AI evals demand the same nuance we apply to human systems: competency models, multi-rater input, calibration, and context. One of the key takeaways from Ketaki and Cole is that true success lies not in chasing perfect answers from AI, but in designing smart, human-informed systems. These are the systems that can discern between good, better, and what genuinely drives impact for your organisation. For people analytics leaders and I/O psychologists, this is a clarion call to leverage their deep expertise in human performance to shape the very fabric of our AI-driven future. FIG 6: Source – Ketaki Sodhi BEN BERRY - The future is built by everyone: What is Vibe Coding and why should People Analytics teams adopt it | ROSARIO GERMINO - From People Analytics to People Economics and Impact | ADRIAN PEREZ – GitLab People Analytics Team Handbook | DOMINIK TOMICEVIC - Can NASA’s People Graph and LLMs Revolutionize Workforce Planning? | MORGAN DEPENBUSCH - How to let color do the storytelling 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. Five are highlighted in this month’s edition: (1) In a particularly insightful piece, Ben Berry examines whether vibe coding, a product management practice of using AI tools to rapidly build functional prototypes to help turn rough ideas into working concepts, should be adopted in people analytics. (2) In her thoughtful article, Rosario Germino argues that to elevate people decisions to the same level of strategic investment as product or finance, we need a new way of thinking—and a new kind of function – People Economics and Impact, which she then breaks down into the why (see FIG 7 on the multi-dimensional aspect of informed decision making), what and how. (3) In a recent post, Adrian M. Pérez provides open source access to GitHub’s People Analytics Team Handbook, a rich resources covering areas such as (i) data governance framework, (ii) tools and methodologies, (iii) survey administration, and (iv) Tableau dashboard strategies. (4) Dominik Tomicevic provides a compelling account of how NASA’s People Graph is supporting a range of priorities from upskilling to workforce planning – with insights from the NASA team of David Meza, Madison Ostermann and Katharine Knott, MBA: “Knowledge graphs offer flexibility, since you don’t need a full schema upfront. We began with known relationships and expanded as we uncovered more insights in the data.” (5) In an edition of her excellent Trending Up newsletter, Morgan Depenbusch, PhD offers some compelling guidance on the use of colour in data visualisation and storytelling. FIG 7: Informed decisions are multi-dimensional. Financial logic makes them investable (Source: Rosario Germino) THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE MCKINSEY - HR Monitor 2025 The gap is widening between what is needed from an efficient, effective HR function and what most organizations currently offer McKinsey's HR Monitor 2025 benchmark study of workforce and HR trends across Europe, delivers a sharp analysis of the critical shifts shaping the HR profession, emphasising that the next 12-24 months are decisive for the function. The report identifies five key trends: (1) Workforce planning is not approached strategically enough – see FIG 8 - (“…with rapid changes driven by gen AI and shifting skill needs, workforce planning must move beyond short-term staffing forecasts to include a longer-term view and future-scenario planning”). (2) Talent acquisition is becoming more complex: with only 56% offer acceptance rates, 18% of new hires leaving during their probationary period and the overall hiring success rate in Europe standing at a lowly 46%, a more strategic and coordinated approach to attracting and hiring talent is required. (3) Employee development continues to be highly fragmented (“To prepare the workforce for future challenges, organizations must connect performance management, learning and development, and talent development in one cohesive strategy”). (4) Employee experience is essential—and underdeveloped (“A more tailored, data-driven approach to the employee experience is needed to build motivation and long-term commitment to employers”). (5) Gen AI and shared-services centres could boost efficiency and effectiveness (“HR departments must modernize their operating models by expanding SSC adoption and using automation and gen AI to increase speed, scalability, and strategic impact”). For Chief People Officers, the message is clear: You must align HR strategy directly with business priorities, strengthen your HR operating model, and aggressively build digital and AI skills within HR. This is about laying the foundation for a modern, AI-enabled HR function that is both deeply people-centric and laser-focused on organizational performance. Kudos to the authors: Julian Kirchherr, Vincent Bérubé, Charlotte Seiler, Dr. Kira Alexandra Rupietta, Kristina Stoerk, Nina-Marlene Senst, and Simon Gallot Lavallée. ...with rapid changes driven by gen AI and shifting skill needs, workforce planning must move beyond short-term staffing forecasts to include a longer-term view and future-scenario planning FIG 8: Engagement in workforce planning (Source: McKinsey) FIG 9: Predicted impact of gen AI on HR department (Source: McKinsey) ESER RIZAOGLU AND STEPHANIE CLEMENT - How CHROs Can Prepare Their Function and the Enterprise for AI Transformation CHROs play a key role in safely using AI at scale to deliver business outcomes. Recent research by Eser Rizaoglu and Stephanie Clement for Gartner provides a helpful roadmap for CHROs steering their organisations through AI transformation, by focusing on HR's pivotal role in shaping the future of work. The report highlights three key actions for CHROs to enable their organisation's AI approach: (1) Assist in delivering business outcomes using AI: Leverage GenAI for HR productivity first, then expand to drive enterprise-wide improvements with a broader AI portfolio. (2) Manage behavioural outcomes of AI: Cultivate a culture of innovation, build human-centred change management plans, and introduce new HR roles to foster human-machine partnerships. (3) Enable workforce readiness for AI: Implement AI literacy programs for all (see FIG 10), while targeting upskilling efforts on segments most impacted, building empathy, and tracking readiness indicators. For CHROs in Steady-AI-Pace organisations, the focus is on foundational AI literacy and policy. Those at an Accelerated-AI-Pace must deepen this by targeting high-impact workforce segments and deploying AI champions to drive effective, human-centric change. FIG 10: AI Literacy Program Roadmap (Source: Gartner) DAVE ULRICH - Navigating Eight Paradoxes of AI for HR When algorithms combine with human empathy, judgement, and creativity, sustained progress occurs. In his article, Dave Ulrich highlights eight paradoxes on the AI for HR agenda that he believes business and HR leaders need to navigate to move up the s-curve and waves of HR impact (see FIG 11) to deliver more value. As Dave explains: “Navigating (not just managing) paradox means highlighting and working through opposing ideas—each of which is valid—that combine to create more value.” The eight paradoxes identified in the article are: (1) AI and AI: Artificial Intelligence * Authentic Intimacy. (2) Remove jobs and redefine work. (3) Bottom line efficiency and top line growth. (4) Distribute and concentrate power. (5) Lower and increase risk. (6) Expand perspective and reduce cognition. (7) Provide answers and explore questions. (8) Isolate and connect. FIG 11: Five stages of AI for HR evolution (Source: Dave Ulrich) EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING JARED WEINTRAUB - A day in the life of a GenAI-enabled workforce Deloitte forecasts that 25 percent of companies currently using GenAI will launch agentic pilots this year, rising to 50 percent by 2027 Jared Weintraub, PhD, SPHR's article for Deloitte paints a tantalising picture of a 'Gen-AI enabled workforce,' showcasing how AI agents are already transforming our daily work. Through a fictional Fortune500 company, Jared brings to life three key personas: (1) New Hire (Riley): Experiences personalised onboarding, with AI agents helping her navigate culture and quickly excel in her role. (2) VP (Taylor): Sees optimised leadership workflows, receiving instant summaries, personalised action items, and even real-time feedback on calls. (3) CEO (Angelina): Gains powerful support for strategic decision-making, with AI agents providing real-time insights and even coaching for high-stakes events like public town halls. These examples demonstrate AI's profound potential not to replace workers, but to fundamentally enhance human potential, leading to a significantly improved employee experience where individuals, teams, and organisations can thrive and perform at their absolute best. Thanks to Brian Heger for highlighting in his excellent Talent Edge Weekly. WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS SCOTT REIDA AND KRISTIN SABOE - Applying the Rule of 72 to Workforce Skill Obsolescence and Productivity Degradation Amazon's Scott Reida and Google's Kristin Saboe, Ph.D. introduce a powerful financial concept to HR: the "Rule of 72." Traditionally, it's a shortcut to estimate how long an investment takes to double, by dividing 72 by its annual growth rate. They ingeniously flip this, applying it to skill evolution: by dividing 72 by a role's weighted average 3-year Compound Annual Growth Rate (CAGR) of its skills, one estimates the "years to obsolescence" if no upskilling occurs. This provides critical directional clarity on how fast job competencies are shifting. Their framework, illustrated in FIG 12, categorises skills into four key zones: (1) Emerging (low adoption, high growth, representing the cutting edge). (2) Table Stakes (widely adopted, foundational must-haves with steady growth). (3) On the Cusp (moderate adoption, sustained expansion, offering long-term value). (4) Sunset (declining demand, requiring intentional upskilling). This enables smarter workforce planning. HR can now target training budgets where skill erosion is rapid, shifting from reactive to proactive strategies. It transforms talent into a dynamic portfolio , informing sharper hiring and career development in our accelerating world. FIG 12: Categorising skills into four key zones (Source – Scott Reida and Kristin Saboe) McKINSEY - The new rules for getting your operating model redesign right When people feel invested in and supported, they are more likely to embrace change, contribute meaningfully, and sustain the behaviors that drive long-term impact. New research from McKinsey updating their nine golden rules for operating model redesign, which finds that five original (evergreen) rules have stood the test of time while four new (evolved) rules have emerged (see FIG 13). The study identifies a key finding: redesign success jumps from 59 percent when using all nine original rules to 97 percent when using all nine in the refreshed set. The article also presents four broad redesign themes for leaders to focus on: (1) Create alignment among leaders and decision-makers, grounded in strategy. (2) Invest deeply in rewiring workflows. (3) Make significant investments in people. (4) Create a performance-oriented culture for durable impact. For Chief People Officers, the key takeaway is that they need to become the architects of dynamic, human-centric operating models. Their focus shifts from traditional talent management to proactively designing how work gets done, emphasising skills and capabilities over static roles. CPOs should also lead on ethical AI integration, foster a culture of continuous learning, and empower leaders. This creates a workforce built for perpetual reinvention, driving sustained value in an increasingly uncertain world. Kudos to the authors: Brooke Weddle, J.R. Maxwell, Tristan Allen, Deepak Mahadevan, Elizabeth Mygatt, and Olli Salo. FIG 13: The refreshed golden rules of organisational redesign (Source: McKinsey) LEADERSHIP, CULTURE, AND LEARNING JEFF WETZLER - The Right Way to Prepare for a High-Stakes Conversation Curiosity increases your ability to process new information and respond creatively to complex problems. It activates the brain’s learning and reward centers, increasing your capacity for insight and creative problem-solving. In his recent HBR article, Jeff Wetzler introduces a helpful concept for leaders: The Curiosity Check (see FIG 14). This diagnostic is designed to fundamentally shift your mindset from defensive certainty to productive curiosity, and so improve your effectiveness in high-stakes discussions and boost your influence. It’s all about unlocking crucial, often hidden, insights. Wetzler outlines three actionable steps: (1) Choose Curiosity Over Certainty: Actively ask yourself "What am I missing?" challenging your assumptions. (2) Make It Safe to Speak Up: Create an environment where people feel secure sharing their true thoughts, proving safety through action, not just words. (3) Pose Quality Questions: Shift from shallow or leading questions to open-ended, neutral, and deeper inquiries that encourage genuine reflection. Wetzler brings this to life with examples, highlighting how leaders often miss critical information when they assume team alignment, never probing for the "unspoken thoughts" that hold the real insights. This approach empowers you to tap into wisdom you might otherwise completely overlook. Thanks to Amy Edmondson for highlighting. FIG 14: The Curiosity Curve (Source: Jeff Wetzler) MCKINSEY RESEARCH AND INNOVATION LEARNING LAB – Reimagined: Development for the Future of Work – Evolving Trends in L&D Article | Full report Leaders must prepare for a future defined by radical candor regarding the impacts of AI on work and the workforce. The 2025 McKinsey Learning Perspective spotlights three interconnected themes crucial for people development in a rapidly changing world: (1) Fluid Development Ecosystems: Organisations must design work to be inherently developmental, shifting from rigid structures to dynamic, data-driven ecosystems. This means de-siloing HR functions and embedding learning into daily work, making growth continuous and seamless. The goal is to make daily challenges catalysts for growth, supported by real-time data and foresight. (2) Responsible AI Adoption: This defining moment demands leaders preserve employee trust by showing AI will help them thrive, not just automate work. It's about fostering powerful human-AI collaboration, offloading repetitive tasks to AI to unlock human creativity and higher-order skills. Responsible adoption hinges on equipping employees with uniquely human capabilities like critical thinking and judgment. (3) Resilient and Adaptable Individuals and Organisations: Thriving organisations anticipate challenges, adapt, and grow, building structural and cultural foundations for resilience. This involves unlocking the potential of diverse, multigenerational workforces, supporting recuperation to prevent burnout, and enabling organisational resilience through sustainable workflows. It means seeing resilience as a shared, cultivated capability, not just an individual trait. Read the article by Heather Stefanski, Benjamin Hall, Jake Gittleson, and Jessica Glazer, and then dive into the full report, which also includes contributions from the likes of Sandra Durth. DIVERSITY, EQUITY, INCLUSION AND BELONGING ROBERT D. AUSTIN, NEIL BARNETT, CHLOE R. CAMERON, HIREN SHUKLA, THORKIL SONNE, AND JOSE VELASCO - How Neuroinclusion Builds Organizational Capabilities Leaders should consider neuro-inclusion as a strategic capability-building opportunity rather than a diversity initiative In a rapidly evolving world, neuro-inclusion is emerging as a critical organisational capability, as highlighted by Robert Austin, Neil Barnett, Chloe Cameron, Hiren Shukla, Thorkil Sonne, and Jose Velasco in the MIT Sloan Management Review. This isn't merely a diversity initiative; it's a strategic imperative that unlocks competitive advantage by leveraging the rich, natural variation in human cognition. By intentionally designing processes for neurodistinct individuals, organisations can profoundly improve: (1) Hiring, by tapping into overlooked talent pools with unique skills (as seen with SAP attracting highly credentialed candidates often missed by traditional interviews); (2) Innovation, through diverse perspectives that spark novel solutions (Microsoft's Teams ‘Blur’ feature emerged from a neurodistinct engineer's insights); and ultimately, (3) Culture, by fostering a more adaptive and truly inclusive environment for everyone. As the article reveals, EY, Microsoft, and SAP are prime examples of organisations already reaping these benefits, demonstrating that embracing neurodiversity enhances collective intelligence and drives superior business outcomes. FRANK DOBBIN AND ALEXANDRA KALEV - Achieve DEI Goals Without DEI Programs Many management innovations designed to improve performance actually boost workforce diversity as well, without inviting the backlash of formal DEI programs. Frank Dobbin and Alexandra Kalev, in their recent HBR article, challenge the traditional view of DEI. They argue that as formal DEI programs face headwinds, HR leaders can still drive significant diversity, equity, and inclusion by focusing on high-performance management techniques that naturally foster inclusion and improve business outcomes, all without the ‘DEI program’ label. They highlight five powerful techniques and provide examples of how these have been implemented by companies: (1) Referral programs: Companies like Oracle use these effectively, often boosting representation organically. (2) Skills upgrading: Walmart exemplifies this, investing in employee upskilling that broadens opportunities for diverse talent (see FIG 15). (3) Mentoring programs: IBM has long leveraged robust mentoring to support career progression across all groups. (4) Scheduling flexibility and stability: Gap demonstrates how providing predictable yet flexible schedules empowers diverse workforces. (5) Performance-based retention: Amazon uses data-driven approaches to identify and retain top performers, inherently benefiting those who excel regardless of background (also see FIG 15). This approach embeds DEI within the fabric of how we manage and develop our people, making it an undeniable component of business success. It’s about doing good by doing well. FIG 15: Walmart and Amazon’s changing workforces (Source: Dobbin and Kalev) HR TECH VOICES Much of the innovation in the field continues to be driven by the vendor and analyst community, and I’ve picked out a few resources from July that I recommend readers delve into: LISA K. SIMON - How Much Is a Skill Worth? In her article, Lisa K. Simon, Chief Economist at Revelio Labs, presents the findings of a new paper, she co-authored with David Dorn, Ludger Woessmann, Moritz Seebacher and Florian Schoner, which finds that the number and type of skills workers report are strong predictors of how much they earn: “In fact, differences in skills predict earnings better than differences in education or past experience. Workers who list more skills tend to be in better-paid jobs. On average, each additional skill listed on a resume is associated with 0.67 percentage points higher earnings.” Another finding is that not all skills are valued equally, with occupation-specific and managerial skills providing the largest boost to income, while a higher prevalence of general skills is associated with lower earnings (see FIG 16). Thanks to Seth Hollander, MBA for highlighting the article and paper. Workers who list more skills tend to be in better-paid jobs. On average, each additional skill listed on a resume is associated with 0.67 percentage points higher earnings. FIG 16: Only having general skills on a resume is associated with lower earnings (Source: Revelio Labs) WARDEN AI - State of AI Bias in Talent Acquisition This is an excellent new report from Jeffrey Pole and the team at Warden AI, which provides a comprehensive and data-driven review of AI bias, compliance and responsible AI practices in talent acquisition – the area of HR, which perhaps has the most significant adoption of AI. With a foreword by Kyle Lagunas, and contributions from the likes of Hung Lee (see quote below) and Sarah Smart, Sultan Murad Saidov and Trent Cotton, key findings include: (1) 75% of HR leaders say bias is a top concern when adopting AI. (2) 15% of AI systems fail to meet fairness metrics for one or more demographic group. (3) AI scores 0.94 vs 0.67 for humans, outperforming on average across fairness metrics (see FIG 17). (4) AI is up to 45% more fair than humans for women and racial minority candidates. Congrats too to Jeff and the team for raising $1.6m in a recent funding round. We are right to worry about AI bias, but we should not forget that the baseline, human only judgment, is far from bias-free - Hung Lee FIG 17: AI outperforms humans across fairness metrics (Source - Warden AI, State of AI Bias in Talent Acquisition) COLE NAPPER - From HR Skills…to HR Jobs When new trends emerge at work, they are likely to first appear as skills. As skills evolve, they consolidate into job titles and full occupations. The prolific Cole Napper highlights Lightcast data to paint a compelling analysis on the journey of people analytics, workforce planning and talent intelligence from trends to skills to jobs: “When new trends emerge at work, they are likely to first appear as skills. As skills evolve, they consolidate into job titles and full occupations.” In the article, Cole presents data visualisations and analysis on how job postings mentioning each of the three skills fluctuated over time, how this translated into job titles, and the wage premium (see FIG 18) that these three categories have on HR salaries in general (on the theme of people strategy and analytics salaries, read this post by Pallavi Narang) Look out for Cole’s book, People Analytics: Using data-driven HR and Gen AI as a business asset, which is available for pre-order now ahead of being published on August 26. FIG 18: Median salaries in HR areas (Source: Lightcast) PODCASTS OF THE MONTH In another month of high-quality podcasts, I’ve selected four gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below): PETER FASOLO - Leading with impact as a chief human resources officer – In this must-listen episode of Capital H, Peter Fasolo, Ph.D., former chief human resources officer at Johnson & Johnson, joins host Kyle Forrest to discuss the power of systems thinking, board collaboration, aligning your people agenda with enterprise strategy, and more. ANGELA LE MATHON - AI-Native HR Operating Model & AI Agents for Skills/Tasks – The brilliant Angela LE MATHON joins Cole Napper to discuss how AI is transforming the work that people analytics does and how the function operates as well as envisioning a new AI-native operating model for HR. SVENJA GUDELL, BROOKE WEDDLE, AND BRYAN HANCOCK - What the labor market isn’t telling you—yet – Svenja Gudell, chief economist at Indeed, joins Brooke Weddle, Bryan Hancock, and host Lucia Rahilly, on an episode of McKinsey Talks Talent to help leaders make sense of the current collision of labour market trends: generative AI, agentic AI, an aging workforce, shifting priorities, and more. BEN WEIN – How Bristol-Myers Squibb used skills data to solve a life-or-death talent shortage – Ben Wein, Director of Workforce Skills Enablement at Bristol Myers Squibb, joins Julius Schelstraete ? on The TechWolf Podcast to share how BMS is becoming a skills-based organisation—starting with a business-critical talent shortage in cell therapy manufacturing. Ben explains how BMS uses skills data to drive faster hiring, smarter workforce planning, and ultimately, patient impact. VIDEO OF THE MONTH DJ PATIL - Data, Decisions, and the Future of Work: How AI and Curiosity Are Redefining Careers Many of the videos of the talks at the recent Wharton People Analytics Conference are now available on the Wharton School YouTube channel, including my talk on How Top Companies Scale People Analytics Adoption. There are some wonderful talks from the likes of Amy Edmondson, Ravin Jesuthasan, CFA, FRSA, Ben Waber, Karalee Close, Guru Sethupathy and Michael Fraccaro, but perhaps my favourite session of the two days was former US Chief Data Scientist DJ Patil’s fireside chat with Eric Bradlow on how firms can harness data science to navigate the future of work. They explore the evolving relationship between AI and human collaboration, the promises and pitfalls of algorithmic management, and how leaders can build ethical, resilient, and high-performing organizations in an increasingly data-driven world. BOOKS OF THE MONTH Given it’s the summer in Europe and North America, here are two books to read while you are getting some well-earned relaxation time: PETER HINSSEN – The Uncertainty Principle - Peter Hinssen's The Uncertainty Principle, his fifth book, is a vital read for HR leaders. It argues we're in a "Never Normal" world, where constant change is inevitable. Hinssen transforms uncertainty from a threat to an opportunity, urging us to move faster and think bigger. For HR, this means embracing ambiguity, leading cultural shifts, leveraging people data, and redefining talent and leadership for relentless evolution. It's about equipping our people to thrive and transform every challenge into a strategic advantage. For a preview of the book, I recommend Peter’s recent discussion with me on the Digital HR Leaders podcast: Uncertainty as an Opportunity: HR's role in Shaping the Future. JENNY DEARBORN AND KELLY RIDER - The Insight-Driven Leader: How High-Performing Companies are Using Analytics to Unlock Business Value - Jenny Dearborn, MBA and Kelly Rider's The Insight-Driven Leader is an inspirational guide to unlocking serious business value through people analytics. This book shows how to transform raw data into powerful workforce insights, solving critical challenges and driving success. You'll learn: (1) How to move beyond traditional rear-view HR metrics to actionable insights. (2) Real-life case studies from leading organisations, as well as cautionary tales. (3) Recommendations for becoming an insights-driven organization using workforce analytics. The book is a must-read for leaders aiming to align data with strategy and build a truly insight-driven culture. FROM MY DESK July saw four new episodes of the Digital HR Leaders podcast – all sponsored by our friends at Mercer (thanks IŞIL ÇAYIRLI KETENCI): ANSHUL SHEOPURI - How People Analytics is Powering Business Strategy - Anshul Sheopuri, Executive Vice President of People Operations & Insights at Mastercard, joins me for a conversation on how to embed analytics into enterprise-wide decision-making at scale. Thanks to Sasha Houlihan for organising. PETER HINSSEN - Uncertainty as an Opportunity: HR's role in Shaping the Future – As highlighted in the Books of the Month above, Peter Hinssen joined me to discuss what it really takes for HR to embrace uncertainty and lead in this era of the ‘Never Normal.’ RAVIN JESUTHASAN AND BRIAN FISHER - The Skills Revolution: Your Playbook for Workforce Agility – Ravin Jesuthasan, CFA, FRSA and Brian Fisher join me to explore why skills-based workforce planning has surged to the top of the HR agenda - and what leading companies are doing to turn intent into action. AMY BAXENDALE - How Arcadis Built a Skills-Powered Organisation – Amy Baxendale , Global Future of Workforce Director at Arcadis, provides a detailed guide on the journey the company has embarked to become a skills-powered organisation. The episode includes discussion on the business case, securing sponsorship, setting up governance, the partnership with Mercer and Eightfold, and the early benefits: We are early in the journey, but we are seeing some promising signs of progress. Our time to hire is trending downwards - that has a direct commercial impact for the business. We've also actually been able to calculate the financial impact of work that's being completed through gigs and show the actual impact on EBITDA 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 525 roles with half of these being new. THANK YOU To HR magazine and Charissa King for including me again in their annual HR Most Influential list as one of the ten most influential practitioners The Talent Games for including the Digital HR Leaders podcast at #6 in its 27 Best Leadership Podcasts for HR Leaders. Steve Sands for including my work as part of his Human Resource Management Analytics night class at the National College of Ireland. A huge thank you to the following people who either shared the June edition of Data Driven HR Monthly and/or posted about the Digital HR Leaders podcast, conferences or other content. It's much appreciated: Emmanuel Duncan, Rob Baker, FCIPD, MAPP, Richard Hall, Robert Rogowski, Catherine de la Poer, Caroline Lambe, Jeremy Sholl, Narelle Burke, Edan Halili, Francesca Caroleo (SHRM-SCP, ICF-ACC), Uwe Gohr, Joseph Frank, PhD CCP GWCCM, Randeep Kaur, Aaron Chasan, Danial Singh Kang, Jorge-Luis Gonzalez, Anisha Moosaأنيشا موسى?????, Carlos Lopes, Danielle Farrell, MA, CSM, Kris Saling, Hiroyuki MIYAI, Ph.D., Yukiko Hosomi, Dr. Christoph Spöck, Joachim Rotzinger, Kevin Le Vaillant, Seung Won Yoon, Alexis Fink, Timo Tischer, Dr. Tobias Bartholomé, Jose Luis Chavez Vasquez, Meg Bear, Abhinav Tiwari, Esther Abraas, Gareth Flynn, Elizabeth Musso, Jana Glogowski, Maarten van Beek, K Nair, Joonghak Lee, Sameer Tahir, Robert Allen, Volker Jacobs, Bilal Laouah, Florent Maire, Oliver Kasper, Jaap Veldkamp, Patrick Coolen, Jeff Wellstead, Jean-Francois (Jeff) BOUBANGA MIGOLET, Dan George, Shujaat Ahmad, Alexandra Nawrat, People Edge Consulting Ltd., Andrew Spence, Roshaunda Green, MBA, CDSP, Phenom Certified Recruiter ?, Austin Brockert, MBA, Dan Riley, Sanja Licina, Ph.D., Anna A. Tavis, PhD, Stela Lupushor, Jeremy Shapiro, David Simmonds FCIPD, Catriona Lindsay, Aravind Warrier, Michael Arena, Greg Pryor, Isabella Cheshire, Amardeep Singh, MBA, Aline Costa, Anis Alexandros El Namparaoui, Adam Treitler, Helder Figueiredo, Sebastian Knepper, Sebastian Kolberg, Lewis Garrad, Kerry Ghize, Preetha Ghatak Mukharjee, Jacob Nielsen, Pete Jaworski, Søren Kold, Prabhakar Pandey, Avani Solanki Prabhakar, Ian Grant FCIPD, Erik Samdahl, Max Blumberg, Sergey Puchka, Romy Hobson, Bettina Dietsche, Hernan Chiosso, CSPO, SPHR ?, Paola Alfaro Alpízar, Sergio Garcia Mora, Hanadi El Sayyed, David van Lochem, Maria Nolazco Masson, David McLean, Clara W Estanqueiro, Shonna Waters, PhD, Kevin Martin, Kathi Enderes, Serena H. Huang, Ph.D., Smadar Tadmor, Tobias W. Goers ツ, Dr. Denise Turley AI.Impact.Equity, Stella Ioannidou, Apeksha Awaji, Evan Franz, MBA, L N Divya Mudundi, Ross Sparkman, Salman Farooq, Megan Reitz, Todd Tauber, Heather Muir, AJ Herrmann, Priyanka Mehrotra, Oliver Auty, Priya Subrahmanyan, Naotake Momiyama, Bill Banham, Matthew Yerbury, Prachi Agasti, Robin Haag, Fabian Stokes, MBA, SWP, Monika Manova, Barry Swales, Dean Carter, Ian OKeefe, Ying Li, Alexandre Monin, Mike Zarrilli, Natasha Fearon, Pedro Pereira, David Balls (FCIPD), Naomi Verghese, Geetanjali Gamel, Frankie Close, Warren Howlett, Stephanie Murphy, Ph.D., John Gunawan, Jesse Clark, MBA, Caitie Jacobson Mikulis, Meghan M. Biro, Dan Trares, Kouros Behzad, Kathleen Kruse, Nick Lynn, Mariana Allain Carrasqueira, Marina Pearce, PhD, Dawn Klinghoffer, Raquel Mitie Harano, Delia Majarín, Deborah M. Weiss, Courtney McMahon, Nirit Peled-Muntz, Hanne Hoberg, Adam McKinnon, PhD., Don Dela Paz, Matt Elk, Sophia Houziaux, Danielle Bushen, Nabil Dewsi, Sai Bon Timmy Cheung 張世邦, Dolapo (Dolly) Oyenuga Agnes Garaba, Wouter Minten, Olly Britnell, Nick Hudgell, Roxanne Laczo, PhD, Claire Masson, Daisy Grewal, Ph.D., Laura Cole, Brian Elliott, Erin Eatough, PhD Henrik Håkansson Gabe Horwitz Russell Klosk (智能虎) The final note this month is a sad one - rest in peace Diogo Jota and André Silva. 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 2025: July 31 - August 1 - People Matters TechHR India 2025, Delhi August 13-16 - GCHRA Africa, Accra, Ghana (I will join virtually) September 25 - Visier Outsmart Local London, London October 7-9 - Insight222 Global Executive Retreat, Atlanta (exclusive to the people analytics leader in member companies of the Insight222 People Analytics Program®) October 15-16 - People Analytics World, New York October 21-22 - UNLEASH World, Paris November 12-13 - HR Forum 2025, Oslo More events will be added as they are confirmed.
    HR strategy
    2025年07月27日
  • HR strategy
    Yes, HR Organizations Will (Partially) Be Replaced by AI, And That’s Good I adore the human resources profession. These folks are responsible for hiring, development, leadership development, and some of the most important issues in business. And despite the history of HR being considered a compliance function, the role is more important than ever. CHRO salaries, for example, have increased at 5-times the rate of CEO pay over the last twenty years, demonstrating how essential HR has become. That said, we have to be honest that AI is going to disrupt our role. This week IBM formally announced that 94% of typical HR questions are now answered by its AI agent, and the role of HR Business Partner is all but eliminated except for very senior leaders. As a result the CEO plans to reduce HR headcount and shift that budget towards sales and engineering. Let’s accept the fact that we are in a time of increasing acceleration. In other words, the capabilities of AI are growing much faster than our organizations” ability to adapt, so we have to lean forward and start redesigning our companies. In the case of HR, our Systemic HR model (which we launched two years ago) is now being fully automated by AI. I know IBM’s story well, and I think it explains where all HR teams are going. Many years ago Diane Gherson (prior CHRO) started AI projects to automate recruitment, pay analysis, and performance management. She spoke at our conference eight years ago and shared how IBM’s pay tool (CogniPay was launched in 2018) uses AI to make pay recommendations based on skill. This type of tool, which was years ahead of the “skills-based” strategies we see today, essentially automated many of the performance and pay decisions left to managers.   Since then IBM has gone much further, and in my last conversation with Nickle Lamoureux (current CHRO) she told me the AI agent helps write performance reviews, creates development plans, and coaches managers and senior leaders on a myriad of performance based decisions. I totally believe this because I see Galileo doing these kinds of things for companies every day. (Check out the Mercury release.) How does this impact the roles and jobs in HR? Well it definitely eliminates many. In the case of L&D or HR business partners, I believe we could see a 20-30% or more reduction in HR headcount per employee. And that means these individuals may wind up managing the AI platforms, moving into roles as change consultants (which AI still can’t do), or move into areas like org design, learning architect, and data management. I think this is all a good thing. While we all worry about AI taking our jobs, we have to remember that our real job is not to “do things” but to “add value” and bring complex problem solving skills to our companies. And in this journey to “crawl up the value curve,” we all have to learn to use AI, develop AI solutions, and think more systemically about how our companies go to market. I recently interviewed a brilliant HR leader (podcast coming) at WPP who explained how he and his team rationalized their job architecture from 65,000 job titles to only 600 by using new AI tools from OpenAI and Reejig (a work intelligence vendor). As you’ll hear in his story, this effort was a combination of data management, business analysis, change management, and leadership. The results of this work, which are still ongoing, is the opportunity for WPP to dramatically change its go to market strategy, innovation, and growth. That’s the kind of thing we want our HR teams to do. And as these various agents hit the market (see my latest view of the market below), HR professionals are going to have to train them, implement them, and “manage them” for long term success. This means analyzing the cross-functional data they produce, extend them into better decision-making, and move our thinking from dated concepts like “time to hire” and “course completion rates” to meaningful measures like “time to revenue” or “time to productivity” or “time to customer service excellence.” See where I’m going? In a time of increasing technology acceleration we have to “lean in” as hard as we can. Stop thinking about how much money we save on headcount (which is a fleeting benefit, by the way) and focus on value creation. That’s the big benefit of AI: customer service quality, time to market, and innovation. In many ways these “HR downsizing” stories are really stores of “HR crawling up the value curve,” which is really a good thing. And for HR professionals, it’s a time for personal reinvention.
    HR strategy
    2025年05月16日
  • HR strategy
    The top 5 HR trends today – and HR's guide to what's next SAP SuccessFactors 每年都会深入研究全球 HR 趋势，以帮助企业制定更有效的人才战略。2025 年，他们分析了来自 40 家全球权威媒体的 254 项预测，归纳出 5 大核心“元趋势”，展现 HR 在企业中的双重角色：既是变革的“指挥者”，也是政策落地的“引航者”。 1️⃣ 重新连接员工： 由于经济压力、决策争议和信任危机，员工体验恶化，57% 的员工认为如果公司不采取措施，他们的倦怠问题不会改善。HR 需关注心理契约，增强员工信任。 2️⃣ AI 从炒作走向实际价值： AI 进入大规模落地阶段，企业需明确 ROI 并平衡员工和领导者对 AI 价值的不同预期。46% 的员工认为 AI 省下的时间属于自己，而非公司。 3️⃣ 技能转型的平衡策略： 由于 AI 发展迅猛，企业技能鸿沟加剧。除了关注技能，薪酬激励成为推动学习的重要因素，54% 的员工表示，如果公司实施基于技能的薪酬体系，他们会更愿意学习新技能。 4️⃣ DEI&B 的分歧： 企业对多元化、公平性和包容性（DEI&B）态度不一，26% 的员工认为公司对 DEI&B 关注过多，而 33% 认为关注太少。HR 需明确 DEI&B 战略，以促进长期文化变革。 5️⃣ 混合办公的未来： 组织已基本确定办公模式，2025 年将验证其成效。54% 的员工愿意牺牲部分薪酬，以换取更大的工作灵活性。 这些趋势展现了 HR 在塑造未来工作模式中的关键作用，企业需借助创新技术和数据驱动的洞察来优化人力资源管理。 Each year, the HR Research Scientists at SAP SuccessFactors conduct research to understand the top HR and workforce trends facing organizations and share our perspective on what HR teams should consider as they look to help their companies address these trends. This year we aggregated and synthesized data from 40 global and regional reputable business press sources that put forward 254 individual trends and predictions grounded in their own research and data. We then conducted a content analysis of the trends sample to derive the five key themes, or “meta-trends.” While our annual report always includes some pointed commentary and critique about each trend based on our expertise in psychology, new this year is calling upon our own body of original applied research to incorporate datapoints and insights, resulting in a more evidence-based point of view. This year’s trends are in different stages of maturity and on different trajectories; therefore, the role that HR needs to play to help businesses tackle and capitalize on these trends is different. We’ve organized the trends into two sections aligned to the dual role HR will play in addressing them. First, HR will need to act as a Conductor, leading the orchestration of a strategy and associated change management across the business to realize the opportunities these trends offer: Trend #1: Reconnecting the disconnected employee: Contentious decisions, macroeconomic and sociopolitical stressors, and breached trust with leadership has led to employee stress and burnout – and consequently, a crisis of disconnect and counterproductivity. In the year ahead: Leaders must ruthlessly prioritize fulfilling their end of the “psychological contract” by meeting employees’ basic needs. People managers will be seen as a lifeline for employees drowning in disconnect. STAT: 57% of employees feel unless their companies make some serious changes, their burnout will not get better. Trend #2: Moving from AI hype to AI impact:Organizations are shifting from AI pilot projects to enterprise-wide rollouts, demanding proof of clear value and ROI. In the year ahead: Organizations will home in on their key value drivers for AI, revealing their true priorities. The body of research on the ROI of AI will be built this year. Organizations will find friction between leaders’ and employees’ goals for using AI. STAT: 46% of employees feel that the time that they save by using AI tools at work belongs to them, not their organization.​ Trend #3: Striking a balance to steer skills forward: Organizations continue to face pervasive skills gaps, in part due to rapid AI advancements. A more balanced approach is needed to see tangible progress in skills-based transformations this year. In the year ahead: “Skills-based” will no longer be the only goal. Pay will prove itself the missing piece of the upskilling puzzle. The human vs. technical skill debate will move from or to and. STAT: 54% of employees would be more motivated to learn new skills if their company instituted skills-based pay.​ Second, HR will need to act as a Navigator, leading the organization through precarious waters and circumventing obstacles to put policies into practice for the betterment of all stakeholders: Trend #4: Divesting or doubling down on diversity, equity, inclusions, and belonging (DEI&B): Some organizations remain committed to DEI&B goals, continuing to ask “How are we going to do this?” Others plan to divest, instead now asking “Are we going to do this?” In the year ahead: Some will shy away from DEI&B goals, but these approaches will vary. Taking a stand on DEI&B will change company cultures in the long term, but it’s not clear exactly how. STAT: 26% of employees say companies focus too much on DEI&B, 41% of employees say companies focus an appropriate amount on DEI&B, and 33% of employees say companies focus too little on DEI&B. Trend #5: Plugging into or pulling the plug on hybrid work: Now that organizations have determined their position on where their employees will work, it’s time to see if they achieve the outcomes they intended. In the year ahead: Those businesses choosing the return-to-office path will see whether their bets paid off this year. Those choosing the hybrid or remote path will take it a step further, integrating autonomy as a core value in other aspects of work design. STAT: 54% of employees would consider being paid less if they could have more flexibility in where and when they work. Read the report to see what’s now and what’s next for each trend, along with some fast facts that uplevel the nerdiness of this year’s trends report. We also include a section on how SAP SuccessFactors solutions can help organizations address the 2025 HR trends.
    HR strategy
    2025年03月07日
  • HR strategy
    Josh Bersin: Understanding the Path to CHRO Josh Bersin 最新研究揭示 CHRO 成长轨迹与未来挑战!近年来，首席人力资源官（CHRO） 这一角色正在经历前所未有的变革。最新发布的 《Understanding the Path to CHRO》 报告(点击可以下载报告，同时附录在文章后)，基于对 20,000 多名 CHRO 的数据分析，深入研究了 CHRO 的成长路径、核心能力及全球 HR 领导者如何适应企业需求的变化。 该研究揭示了HR 从传统行政职能向战略核心的转型趋势，同时发现： 75% 的 CHRO 来自外部招聘，内部继任计划严重不足。 CHRO 逐步迈入 C-suite，13% 进入企业最高薪酬前五名，相比 30 年前增长 26 倍。 四类 CHRO 发展路径浮出水面：职业型 CHRO（Career CHRO）、企业型 CHRO（Company CHRO）、业务型 CHRO（Business CHRO）、运营型 CHRO（Operations CHRO）。 具备国际化经验的 CHRO 绩效更高，75% 的高绩效 CHRO 曾在海外工作。 政治学、经济学背景的 CHRO 更具影响力，而 HR 专业背景反而在高绩效公司中占比最低。 从这些数据来看，CHRO 角色不再是简单的人才管理者，而是企业变革的推动者、业务战略的支持者、AI 与科技革新的领导者。那么，中国的 HR 领导者如何才能成长为具备全球视野的 CHRO？本文将从CHRO 角色的转型趋势、职业路径、核心能力模型及中国 HR 的成长路径四个方面展开分析。 报告下载地址：https://www.hrtechchina.com/Resources/59250FA4-A800-58D9-5CE6-76E4DBC4F82A.html ? CHRO 的转型趋势：从 HR 负责人到企业变革领导者 传统 HR 主要聚焦于招聘、薪酬管理、劳动合规等事务性工作，过去常被视为“后勤支持”部门。然而，随着 全球劳动力市场变化、AI 赋能 HR、企业运营模式调整，CHRO 的角色发生了深刻变化： 1️⃣ CHRO 从 HR 服务交付者转变为业务战略伙伴过去 HR 被认为是支持职能，而今天，CHRO 需要直接参与企业战略决策，关注人才如何驱动业务增长。例如，疫情后全球远程办公兴起，CHRO 需要设计全新的组织架构、推动员工体验升级、调整绩效激励模式，以适应新的工作模式。 2️⃣ AI 与数字化重塑 HR 角色AI 和 HR Tech（人力资源科技）正在改变 HR 的运作方式。CHRO 不仅需要理解 AI 招聘、数据驱动绩效管理、智能学习平台，还要在组织中推动这些技术的应用。例如，采用 AI 进行人才画像分析、通过自动化面试减少招聘成本、利用数据分析优化员工保留率。 3️⃣ 全球化人才流动与多元化管理企业越来越依赖国际市场，CHRO 需要具备 跨文化管理、远程团队领导、国际雇佣合规 的能力。报告发现，在高绩效公司中，75% 的 CHRO 具备国际工作经验，这说明全球视野已成为 HR 领导者不可或缺的竞争力。 ? 四类 CHRO 发展路径：你属于哪一类？ 研究报告将 CHRO 的职业路径划分为 四种主要类型，每种路径各有优势和挑战： 1️⃣ 职业型 CHRO（Career CHRO）——最常见的路径 通过在不同公司担任 HR 领导职务不断晋升，占比 73%。 优势：具备跨行业 HR 经验，能从外部引入最佳实践，拥有更广阔的专业网络。 挑战：对新公司的文化和业务理解较浅，缺乏长期稳定的 C-suite 关系。 2️⃣ 企业型 CHRO（Company CHRO）——公司内部晋升 在同一公司内部从 HR 经理逐步晋升为 CHRO，占比 17%。 优势：深谙企业文化和业务流程，与内部管理层关系紧密。 挑战：缺乏外部视角，可能难以推动 HR 变革和创新。 3️⃣ 业务型 CHRO（Business CHRO）——来自业务部门 从 销售、运营、市场等业务部门 转型进入 HR，占比 8%。 优势：更能理解业务需求，与 C-suite 关系更紧密，推动 HR 战略落地能力强。 挑战：缺乏 HR 专业知识，需要依赖强大的 HR 团队支持。 4️⃣ 运营型 CHRO（Operations CHRO）——来自行政管理 从 财务、法务、风控、合规等行政职能 转型进入 HR，占比 2%。 优势：擅长数据分析、预算管理、企业治理。 挑战：缺乏人才管理经验，对 HR 战略落地理解较弱。 ? 在北美工作的华人 HR 领导者如何突破瓶颈？ 在北美职场，华人 HR 面临 文化适应、晋升壁垒、C-suite 话语权较弱 等挑战。如何突破天花板，成长为 CHRO？ ? 1. 强化本土商业思维，提升 C-suite 话语权 深入了解北美商业环境、企业运营模式、行业趋势。 参与跨部门会议，与 CEO、CFO 直接对话，培养以业务为核心的人才战略思维。 ? 2. 培养影响力，突破“华人 HR 只擅长执行”的刻板印象 多发声，多展示成果：在公司内外分享 HR 变革案例，塑造领导者形象。 主导 HR 变革项目，例如推动 AI 赋能招聘、优化薪酬激励机制，提升 HR 价值感。 ? 3. 争取国际轮岗机会，提升全球 HR 领导力 申请企业的跨国 HR 轮岗项目，拓展跨文化管理经验。 参与 国际 HR 论坛、北美 HR 高管社群，建立全球视野和人脉资源。 ? 4. 选择适合的 CHRO 职业路径 喜欢跨行业挑战？选择 职业型 CHRO 路线。 想深耕企业文化？适合 企业型 CHRO 发展路径。 具备销售、运营经验？向 业务型 CHRO 方向发展。 ? 5. 强化数据与 AI 能力，掌握 HR 科技趋势 学习 数据分析、AI 招聘、人才预测建模，让 HR 决策更具数据支撑。 掌握 HR Tech 生态系统，推动数字化 HR 变革，提高 HR 部门的战略价值。 ? 结论：北美华人 HR 需要突破自我，成为“全球 CHRO” 要成为北美企业的 CHRO，仅靠 HR 知识远远不够，商业思维、数据能力、影响力、全球化经验都是必备技能。北美华人 HR 需要打破行业天花板，成为推动企业变革、掌控未来人才战略的全球化 CHRO 领导者！
    HR strategy
    2025年02月17日
  • HR strategy
    The Top HR Articles of 2024: Creating Value with People Analytics It was in 2014 that I first compiled a year-end compendium of 20 people analytics and data-driven HR articles from the previous 12 months and published it on LinkedIn. Back then it was an achievement to find 20 articles. Now it is an impossible task to prune so many wonderful resources down to a single summary – such has been the explosion of people analytics in the last decade as it has shifted from the periphery to the centre of people strategy. Indeed, as I reminisced by reading the ten collections to date for 2014, 2015, 2016 2017, 2018, 2019, 2020, 2021, 2022 (Part 1 and Part 2) and 2023 (Part 1 and Part 2), it became abundantly clear that the growth in the field has been staggering. The advance of people analytics has been mirrored by the human resources field in general as it elevates itself from a support function to a strategic partner. As I wrote in my article, 12 Opportunities for HR in 2025, the field has a huge opportunity to build a thriving workforce, a thriving culture, and a thriving organisation. People analytics is pivotal to this mission. So, in the second decade of the Data Driven HR Monthly, it’s time to change up this annual reflection on the year that has just passed. As such, in the coming days and weeks, there will be five editions of this newsletter organised into the following five themes: Part 1: Creating value through people analytics Part 2: Orchestrating the future of work Part 3: Enhancing employee experience and wellbeing Part 4: Developing leaders, culture and inclusion Part 5: Building the strategic HR function I hope you enjoy reading the selections for 2024. If you do, please subscribe to my Data Driven HR newsletter, and tune in to the Digital HR Leaders podcast. Join me for a Insight222 webinar on February 5 to discover they key themes shaping People Analytics in 2025. If you want to learn how AI, close alignment with people strategy, and data democratisation, are enabling Leading Companies to drive business value with people analytics, register for the Insight222 People Analytics Trends Webinar. The webinar, which will take place on February 5, will be hosted by me and feature Naomi Verghese and Madhura Chakrabarti, PhD unpack the findings from the recently published 5th annual People Analytics Trend study. You can register for the webinar here – or by clicking the image below. 1. CREATING VALUE WITH 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, which was published in December 2024, 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 1. (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 1: Trends in the democratisation and adoption of analytics (Source: Insight222) DELOITTE - 2023 High-Impact People Analytics Research Prioritizing PA customers means understanding their needs—and how those needs align (or don’t) with the function’s capabilities and broader business priorities. The report by Eric Lesser Peter DeBellis and Marc Solow which is based on a 2023 study by Deloitte of more than 400 organisations across 18 countries, presents a People Analytics Maturity Model (see FIG 2) and discusses six key findings. These are: (1) People Analytics has become an organisational imperative. (2) Data culture is the single biggest predictor of people analytics performance. (3) Tech investments mean nothing without human capability (and vice versa). (4) Today’s challenges demand more data from more sources. (5) An expanding customer base means new demands on the people analytics function. (6) People data is business data – treat it as such. FIG 2: High-Impact People Analytics Maturity Model (Source: Deloitte) COLE NAPPER, JIN YAN, AND BEN ZWEIG - What is happening to people analytics? A 15- year trend: Part One | Part Two | Part Three (with KRISTIN SABOE) How has people analytics employment changed in the last 15 years, and specifically how has the environment changed in the last two years? That was the question that Cole Napper along with Jin Yan and Ben Zweig sought to answer after being inspired by Alexis Fink to analyse these topics. The findings were delivered in three articles. Part One presented a number of interesting – and perhaps counterintuitive – findings, including that people analytics positions in the US actually declined in the last two years – the data collated by Revelio Labs suggests more than 1,000 people have left the field during this time (see FIG 3). In Part Two, the team turned their attentions to an analysis of the skills of people analytics professionals and the impact of the field during the last 15 years. Insights included that there is a correlation between companies with ‘prestigious’ people analytics teams and companies being rated more highly for employee sentiment. In Part 3, Kristin Saboe, Ph.D. gets involved to shine the light on how the composition of government people analytics jobs have changed over the last 15 years. Finally, the team provide three recommendations are provided to move the field forward: (1) Add real value and break the cycle. (2) Mature the people analytics function. (3) Let’s get back to growth. FIG 3: People analytics positions have been decreasing in the last two years (Source: Revelio Labs) MARGRIET BENTVELZEN, CORINE BOON, AND DEANNE N. DEN HARTOG - A person centered approach to individual people analytics adoption In their paper, Margriet Bentvelzen Corine Boon and Deanne Den Hartog study people analytics adoption through the lens of the implementation of people analytics technology. They identify four profiles related to differences in user satisfaction and the frequency and versatility of PA technology use. They demonstrate that performance benefits, social influence, required effort, and facilitating conditions jointly affect the use of PA technology, but that the latter two might be the most influential factors. FIG 4 demonstrates the four user profiles identified in the paper: the skeptic diplomats, the optimistic strugglers, the optimists, and the enthusiasts. FIG 4: Source – Bentvelze,  Boon and Den Hartog (2024) PATRICK COOLEN - The 10 golden rules for establishing a people analytics practice A successful people analytics practice starts with the right people analytics leader Patrick Coolen’s first iteration of his ’10 golden rules for people analytics’ (one prescient ‘rule’ was to combine strategic workforce planning and analytics) was published in 2014 when he was in the early stages of building the function at ABN Amro. A decade on, Patrick updates his seminal article, with insights from his own career journey, Ph.D research, and the evolution of the field itself. As ever, Patrick is right on the mark with his ten selections including these three: (1) The people analytics leader can make the difference, (2) Create a clear people analytics operating model, and (3) Upskill HR in data-driven decision making. SHONNA WATERS, ERIN EATOUGH, SHEHZAD BASHIR, AND IAN O'KEEFE - People Analytics Across Company Growth Stages: Evolving Your Approach as You Scale HR Analytics adoption is associated with higher return on investment by an average of 6.2% for return on capital employed 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. 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 developed the 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 5): (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 5: The People Analytics Ecosystem (Source: Insight222 Building the People Analytics Ecosystem: Operating Model v 2.0) JAAP VELDKAMP - Positioning People Analytics into the HR Service Model: A Path to Sustainable Impact Embedding People Analytics within the HR Service Model is essential for creating a lasting and meaningful impact. In his thoughtful article, Jaap Veldkamp, Global Head of People Analytics and Organisational Effectiveness at ABN AMRO, provides guidance on how people analytics should be positioned within the broader HR service model. Jaap provides a simplified view of the HR operating model (see FIG 6), which has three components: (1) Identifying needs. (2) Prioritising needs. (3) Executing and evaluating strategies. He then describes how the key capabilities of ABN AMRO’s people analytics function (Dashboarding and reporting, Employee listening, Data science and research, Organisational effectiveness, and Consulting) flow through the HR service model. As Jaap highlights: “the overall aim is to ensure that the capabilities of the People Analytics team are part of every step in the HR Service Model.” FIG 6: Simplified HR Service Model (Source: Jaap Veldkamp) RICHARD ROSENOW - From Data to Strategy: The New Role of Workforce Systems Leaders in Transforming HR Without a Workforce Systems Leader, these decisions fall to the CHRO, pulling them into day-to-day inter-functional debates when they should focus on the strategic vision In Insight222’s 2024 study, Building the People Analytics Ecosystem, we identified three types of people analytics leader that are emerging as the people analytics operating model continues to evolve. One of these – the Portfolio Analytics leader – has similarities to a trend identified by Richard Rosenow in his white paper for One Model. The findings are based on more than 40 HR teams hiring a Workforce Systems Leader combining people strategy, operations, technology, data and analytics (see FIG 7). In the paper, Richard covers: (1) Key challenges in people analytics – how the role of people analytics often extends far beyond their original role description. (2) Mastering the People Data Supply Chain – highlighting the essential steps to building a robust people analytics function. (3) The emergence of Workforce Systems Leaders. Read a preview in Richard’s LinkedIn post and download the full paper here. FIG 7: The role of a Workforce Systems Leader (Source: One Model) DIRK JONKER - Finance and Human Resources: A Strategic Partnership for Business Growth Empathy has always been HR’s superpower, but it’s time to extend that empathy to seeing the workforce through a financial and business lens. In our research into Leading Companies in people analytics at Insight222, one relationship stands out: the partnership with finance. Of the 25% of companies (86 out of 348 companies) who participated in our 2024 People Analytics Trends study and told us that they had built a partnership with finance, 93% reported that the people analytics team had delivered measurable outcomes over the last 12 months. In his article, Crunchr CEO Dirk Jonker explains why and how HR and Finance should work together, painting a vision where: “Together, HR and finance can unlock a future where employees are seen for what they truly are: a company’s most significant (and measurable) asset.” For more from Dirk on this topic, I recommend tuning into his conversation with me on the Digital HR Leaders podcast: Driving Business Transformation with Advanced People Analytics. PIETRO MAZZOLENI - Transforming HR: How IBM measures the success of its people data platform investments For those of you who haven’t already subscribed to Pietro Mazzoleni’s People Data Platform newsletter, I highly recommend you do. In this edition, Pietro walks through the three tiers of Key Performance Indicators (KPIs) IBM uses to evaluate investments in Workforce 360, its people data platform (see FIG 8). For more on how IBM infuses people analytics and AI into HR, listen to a recent episode of the Digital HR Leaders podcast, where I discuss with CHRO Nickle LaMoreaux - how IBM is augmenting HR programs with AI. FIG 8: Three tiers of KPIs to evaluate investments in a people data platform (Source: Pietro Mazzoleni) ETHAN BURRIS, BENJAMIN THOMAS, KETAKI SODHI, AND DAWN KLINGHOFFER - Turn Employee Feedback into Action Ultimately, success (in employee listening) lies in empowering leaders to translate insights into concrete actions, effectively communicating progress, and fostering a continual feedback loop that values and respects the diverse voices within the organization. "To manage the employee experience, leaders must deeply understand employees’ perceptions, feelings, and desires and respond thoughtfully. This is particularly crucial when immense resources are invested in gathering employee feedback through pulse surveys, town halls, and data scraping from internal communications. But leaders are often overwhelmed by the data and struggle to translate it into actionable insights." In their Harvard Business Review article, Ethan Burris, Benjamin Thomas, Ph. D, SHRM-CP, Ketaki Sodhi, PhD and Dawn Klinghoffer, share insights from interviews with more than two dozen companies to outline seven challenges and demonstrate how leading places to work have built an integrated process for assembling and understanding employee input and translating it into action. The seven challenges are: (1) Making sense of all that data. (2) Making sure employees feel heard. (3) Identifying the actual underlying problems. (4) Protecting employee privacy. (5) Navigating conflicting views. (6) Not burying bad news. (7) Providing meaningful follow-up. PHIL WILLBURN - People Analytics Demystified: A Practitioner’s Handbook Highly effective HR organizations know that every area of the business makes people decisions. The best people analytics teams excel by scaling people insights to all business leaders, ensuring these insights reach those making critical people decisions Phil Willburn, the Head of People Analytics, and his team recently hosted a Peer Meeting for member companies of the Insight222 People Analytics Program® at Workday’s global headquarters in California. During the two days, Phil and his team presented some of the amazing work they are doing with people analytics in areas such as workforce planning, employee experience and hybrid work. Some of the content they presented is in this insightful e-book, which shines a light on how Workday has scaled people analytics in its own company (see FIG 9), their product-oriented and persona-based approach, and provides details on three case studies including how the team provides insights on flexible work and collaboration. FIG 9: People analytics and insights at Workday (Source: Phil Willburn, Workday) EMILY KILLHAM - From Insight to Action: New Data on the State of Employee Listening (Article) | The State of Employee Listening 2024 (Report) (Leading firms ensure) listening efforts are aimed at the most important business and talent priorities facing their organizations today. Emily Killham highlights the key findings from Perceptyx’s third annual State of Employee Listening report, which is informed by survey of more than 750 senior HR leaders from global firms with at least 1,000 employees. These include: (1) 78% of firms surveyed conduct some kind of listening event at least once a quarter, compared to 70% in 2023 and 60% in 2022. (2) Nearly 40% of organisations can share listening data with managers within two weeks. (3) When compared with their peers, the most mature listening organisations are 6x more likely to exceed financial targets, 9x more likely to achieve high levels of customer satisfaction, 4x more likely to retain talent, even during times of high attrition, 7x more likely to adapt well to change, and 7x more likely to innovate effectively. FIG 10: Employee Listening Maturity (Source: Perceptyx) RESOURCES FROM CURRENT AND PREVIOUS PEOPLE ANALYTICS LEADERS 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. Nine of the best from 2024 are presented here: In Our Real-Life Journey with GenAI in Skills and Talent Management (with code!!), the Wolters Kluwer talent analytics team of Mariëlle Sonnenberg, Federico Bechini, Sietse Schröder and Caitlin van Mil share a case study of using GenAI to provide the foundation of their work to transition to a skills-based organisation. Andrés García Ayala, Group Head of People Analytics and Strategic Workforce Planning at Legal & General, discusses five reasons why people analytics should be at the heart of AI’s successful workplace adoption. 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. In a two-part post, Hallie Bregman, PhD discusses the pros and cons of situating people analytics in or outside HR: Part 1 and Part 2. In an edition of his excellent Making People Analytics Real Substack, Willis Jensen digs into what makes a ‘good’ and a ‘bad’ people analytics metric. The secret? Ask yourself: “Can I make a line chart of the metric?” In The Three Most Common Statistical Tests You Should Deeply Understand, Keith McNulty explains that hypothesis testing is one of the most fundamental elements of inferential statistics. He uses an example to show three common hypothesis tests (Welch’s t-test, Correlation test, and Chi-square test of difference in proportion) and how they work under the hood, as well as showing how to run them in R and Python and to understand the results. Having worked in both domains, Scott Rogers is well-qualified to explore the dynamics of the HRBP-People Analytics relationship. He presents a framework identifying the key focus areas for people analytics leaders (e.g. championing HR operational excellence) and HRBPs (e.g. engaging with and advocating for people analytics). Jackson Roatch outlines how people analytics teams can move from correlation to causation and create more impact by adding econometric methods to its tools and capabilities. Nelson Spencer presents his S.T.A.R.T Framework (see FIG 11), 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 11: The S.T.A.R.T Framework (Source: Nelson Spencer) READ THE OTHER INSTALMENTS OF THE BEST ARTICLES OF 2024 Don’t forget to check out the four other editions of Data Driven HR Monthly, where I reveal my best articles of 2024: Part 2: Orchestrating the future of work (available from Sunday, January 12) Part 3: Enhancing employee experience and wellbeing (available from Thursday, January 16) Part 4: Developing leaders, culture and inclusion (available from Sunday, January 19) Part 5: Building the strategic HR function (available from Thursday, January 23) THANK YOU Thanks to all the authors and contributors featured in the best articles of 2024 as well as across the monthly collections from 2024 – see January, February, March, April, May, June, July, August, September, October, November and December - your passion, knowledge and expertise continues to inspire. Thanks also to my colleagues at Insight222, the guests and sponsors of the Digital HR Leaders Podcast in 2024 and the great many of you that share and engage with the content I share. It’s much appreciated. I wish you all well for a happy, healthy, and successful 2025. 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 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.
    HR strategy
    2025年01月09日
  • HR strategy
    The best HR & People Analytics articles of September 2024 September has been a phenomenal month. Indeed, in the ten years I’ve been writing the Data Driven HR Monthly, I can’t recall a month when there has been so much insightful content to choose from. I believe this is indicative of the journey HR is on from its traditional role as a support function to becoming a true strategic partner to the CEO and the board. As Janine Vos, Managing Board Member and CHRO at Rabobank, highlighted this past week at the Insight222 Global Executive Retreat, people analytics has an important role to play in elevating the HR function and enabling it to successfully navigate this transition: People Analytics helps give the chief human resources officer credibility (with the executive team and board). This edition of the Data Driven HR Monthly is sponsored by our friends at Worklytics A New Way to Approach Manager Effectiveness If you’re using eSat scores to evaluate Manager Effectiveness, you’re moving too slowly. eSat scores are a lagging indicator of how it’s going.  And in today’s distributed work environment, you can’t afford to wait. Instead, use ONA-powered outcome driver analysisto identify what your best managers are doing differently. You might measure behaviours like: Manager Cross-Department Connectivity Co-Attendance in Directs’ Meetings Manager-Driven Disruptions (Slack DMs) Curious to see what that looks like in practice? Find out how your managers stack up. To sponsor an edition of the Data Driven HR Monthly, and share your brand with more than 135,000 subscribers, send an email to dgreen@zandel.org. The Changing Role of the People Analytics Executive My personal highlight of September was the 7th annual Insight222 Global Executive Retreat, which took place from September 24 to 26 at the Duin en Kruidberg for member companies of the Insight222 People Analytics Program®. I’ll share more about the Retreat in a separate blog in a few days time, but for now I'll highlight this year’s theme: The Changing Role of the People Analytics Executive, and the stellar cast of inspirational speakers: Janine Vos discussed the strategic influence of the CHRO and the close partnership she has at Rabobank with the people data and innovation team led by Marc Jansen. Prasad Setty shared insights from his 14 years leading people analytics at Google as well as painting a vision of the future of people analytics in the age of generative AI. Kevin Friesen, Neora Myrow PhD, and Nancy Duarte delivered an interactive workshop on influencing through data storytelling. Erin Meyer ended proceedings with a tour de force masterclass on leading across cultures I global organisations. The Retreat is one of the services included as part of the Insight222 People Analytics Program. If you are a people analytics leader and would like to find out more, you can contact the team here. Attendees at the Insight222 Global Executive Retreat 2024, Duin en Kruidberg, Amsterdam September and October World Tour As well as the Retreat, I’m speaking at and attending a number of events in October. This week, I’m in New York, moderating a panel on Workestration at the New York Strategic HR Analytics Meetup (Sept 30), and chairing People Analytics World (Oct 2 and 3). The next stop after that will be Paris, where I’ll once again have the privilege of hosting the main stage at UNLEASH World (Oct 16 and 17) - thanks to Marc Coleman and the team. Then it’s back to the US for the North America Peer Meeting for member companies of the Insight222 People Analytics Program®, which will be hosted by Phil Willburn and his team at Workday in Pleasanton (Oct 22 and 23). I hope to see some of you at one of these events. Thanks too to Marcus Downing for hosting me at the recent Mercer event in London where I had the pleasure of sharing the stage with Ravin Jesuthasan, CFA, FRSA (see here), and Jennifer Neumann for inviting me to speak at Workday Rising in Las Vegas (see here), where it was great to meet up with the likes of Priyanka Mehrotra, Richard Rosenow, and Cory Edmonds. Speaking onstage at Workday Rising, Las Vegas, 2024 Register for an Insight222 webinar on October 10: Building the People Analytics Operating Model Join me and the Insight222 team on October 10 when we’ll be hosting a webinar on the recently published research on. You can register for the webinar here. Share the love! Enjoy reading the collection of resources for September 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 August’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. HYBRID, GENERATIVE AI AND THE FUTURE OF WORK ANDY JASSY - Message from CEO Andy Jassy: Strengthening our culture and teams | JOSE MARIA BARRERO, NICHOLAS BLOOM, SHELBY BUCKMAN, AND STEVEN J. DAVIS - The Survey of Working Arrangements and Attitudes – September 2024 | ANNIE DEAN – Lessons Learned: 1,000 Days of Distributed at Atlassian This special on hybrid work was inspired by Amazon CEO Andy Jassy’s announcement that Amazon is going back to five days in the office: “to further strengthen our culture and teams.” This comes hot on the heels of KPMG’s CEO Outlook Survey, which finds that CEOs are hardening their stance on returning to pre-pandemic ways of working, with 83 percent expecting a full return to the office within the next three years. Forensic analysis by Bruce Daisley (here), Phil Kirschner(here) and Nick Bloom (here) examines Amazon’s move and the validity of KPMG’s claim. This confirms that (1) Amazon is an outlier. (2) The findings by KPMG contradict the WFH Research that Nick is publishing every month, which shows working from home has remained flat since early 2023 and has stabilised at around 25% (see FIG 1). As Bloom suggest “shock sells,” which explains the extent of the media coverage about Amazon and the KPMG survey. To balance things out, I recommend reading about Dropbox’s Virtual First model (which chief people officer, Melanie Rosenwasser explains has “led to clear benefits, including higher employee engagement and retention.”). I also recommend reading a new report authored by Annie Dean summarising the findings from the first 1,000 days of Atlassian’s Team Anywhere approach to distributed work. As Rabobank’s CHRO Janine Vos urged in her session at Insight222’s Global Executive Retreat this week, the role of HR and People Analytics teams is to provide data that steers executive decision making around hybrid and return to office. It would be interesting to learn what data (if any) was used to inform Amazon’s decision to return to the office five days a week. FIG 1: WFH is stable at c35% of days (Source: WFH Research) BCG HENDERSON INSTITUTE - GenAI Doesn’t Just Increase Productivity. It Expands Capabilities The ability to rapidly take on new types of work with GenAI - particularly tasks that traditionally require niche skills that are harder to find, such as data science - can be a game-changer for individuals and companies alike. The BCG Henderson Institute follow-up their first landmark study on GAI in the workplace (see: How People Can Create - and Destroy - Value with Generative AI). The sophomore experiment tests how workers can use GenAI to complete tasks that are beyond their current capabilities. The findings from the study are illuminating: (1) Participants were able to instantly expand their aptitude for new data-science tasks, even when they had no prior experience in coding or statistics. (2) Those with moderate coding experience performed better on all three tasks, even when coding was not involved. This suggests that an engineering mindset - which coding helps develop - could be a key success factor for workers adapting to GenAI tools. The article also provides guidance on: When and how to pair humans with GenAI (see FIG 2), as well as visualising and detailing the workforce change-management implications (see FIG 3). (Authors: Daniel Sack, Lisa Krayer, PhD, Emma Wiles, Mohamed Abbadi, Urvi A., Ryan Kennedy, Cristián Arnolds, and François Candelon). FIG 2: When and How to Pair Humans and GenAI (Source: BCG Henderson Institute) FIG 3: Workforce and Change-Management Implications (Source: BCG Henderson Institute) GARTNER - Hype Cycle for the Future of Work, 2024 Only 14% of organizations have reached the level of maturity where they are able to empower workers to embrace new ways of working. Gartner’s inaugural Hype Cycle for the Future of Work (see FIG 4) highlights the core technologies set to transform how work is done by augmenting and enhancing human capabilities with intelligent technology. Five standouts from the analysis are: (1) Workers want a more personalised experience, and are building it for themselves. (2) CEOs are captivated by AI and are investing in new strategies. (3) Low digital workplace maturity is a barrier to improving worker productivity and time to competency. (4) Data Storytelling and Generative AI (already!) have entered the Trough of Disillusionment. (5) Hybrid Work and Self-Service Analytics are on the Slope of Enlightenment. The article also contains some illuminating analysis on a number of the ‘on the rise’ innovations including Exoskeletons (Tori Paulman), Cyberpsychology (Cynthia P.), Digital Twin of the Employee (Helen Poitevin) and Workforce Nudgetech (Rania Stewart). Thanks to Phil Kirschner for alerting me to this work in his excellent LinkedIn post on the study, which linked to an insightful article Phil co-authored with Natasha Ouslis, PhD and Dr. Julia Sperling-Magro on applying behavioural science and nudging to the workplace. FIG 4: Hype Cycle for the Future of Work, 2024 (Source: Gartner) NICKY DRIES, JOOST LUYCKX, AND PHILIP ROGIERS - What 570 Experts Predict the Future of Work Will Look Like While it’s impossible to know exactly what the future of work will look like, it doesn’t stop (lots of!) people from having opinions. In their study, Nicky Dries, Joost Luyckx, and Philip Rogiers from KU Leuven, asked 570 experts to rank the likelihood of predictions made by technologists, economists and journalists. They landed on the sequence of events laid out in FIG 5, which get increasingly concerning and dystopian by the decade. Not one for the faint hearted! FIG 5: A timeline of future of work predictions (Source: Dries et al) MCKINSEY - Charting a path to the data- and AI-driven enterprise of 2030 Generative AI has increased the focus on data, putting pressure on companies to make substantive shifts to build a truly data-based organization. These are the opening words to a recent article by McKinsey’s Dr. Asin Tavakoli, Holger Harreis, Kayvaun Rowshankish, and Michael Bogobowicz, which provides guidance on seven essential priorities for leaders to focus on to realise the data-driven enterprise of 2030. They argue that the key enabler to realising the potential of GenAI is data: “Without access to good and relevant data, this new world of possibilities and value will remain out of reach.” Three of the seven priorities outlined are (1) Data Leadership (“Companies need to find leaders skilled in governance and compliance, engineering and architecture, and business value"). (2) Talent (see FIG 6), and (3) Digital Trust. FIG 6: New skills to manage GenAI will likely lead to both expanded and new data roles (Source: McKinsey) PwC - 2024 Workforce Radar Report Executive Summary | Full Paper The workforce of today won’t become the workforce of tomorrow unless businesses act right now. But how? That’s the exam question that PwC’s inaugural Workforce Radar study attempts to answer across an insightful and thought-provoking report of 48 pages. The research identifies five workforce signals (see FIG 7) that business leaders and chief people officers can use to deliver enterprise-wide transformation. (1) Taking both a talent magnet and talent factory approach (e.g. levers such as meaningful work, skill-building, and culture). (2) Devising a location strategy that appreciates over time. (3) The intelligent enterprise – through HR harnessing and taking the lead on GenAI (see FIG 8). (4) Empowering transformation with a workforce balance sheet. (5) Investing in building transformative leadership. Kudos to the authors: Anthony Abbatiello, Julia Lamm, Reid Carpenter, Craig O'Donnell, and Christopher Hannegan. FIG 7: Five Workforce Radar Signals (Source: PwC) FIG 8: Emerging areas for Leading Digital HR Leaders to lean-in (Source: PwC) PEOPLE ANALYTICS NAOMI VERGHESE, JONATHAN FERRAR, AND JORDAN PETTMAN - Building the People Analytics Ecosystem: Operating Model v2.0 ARTICLE | FULL REPORT In the August edition of the Data Driven HR Monthly, I highlighted the new Insight222 study on the evolution of the people analytics operating model. This month I’d like to highlight one specific aspect of the report about the role of the people analytics leader. The research, which was conducted by my colleagues, Naomi Verghese, Jonathan Ferrar and Jordan Pettman, found that three profiles of people analytics leader are emerging (see FIG 9): (1) Data and Analytics Specialist Leader (focused on a scope for data and analytics research, insights and analytical product development and deployment). (2) Analytics-led Strategy Leader (encompassing a broad set of analytics responsibilities: consulting, research, employee listening, product development, reporting, data governance, workforce planning and AI). (3) Portfolio Analytics Leader (responsibility for people analytics and one or more other closely associated topic, such as people strategy, HR technology, HR operations, skills management, or employee experience). Read the report for more detail on each of the profiles together with examples of each leader persona Featuring Anthony Ferreras, Aashish Sharma, and Alexis Saussinan. FIG 9: Responsibilities of the three people analytics leader personas, aligned to the People Analytics Ecosystem (Source: Insight222) COLE NAPPER, JIN YAN, AND BEN ZWEIG - What is happening to people analytics? A 15- year trend (Part 1) How has people analytics employment changed in the last 15 years, and specifically how has the environment changed in the last two years? That was the question that Cole Napper along with Jin Yan and Ben Zweig sought to answer after being inspired by Alexis Fink to analyse these topics. The study identified a number of interesting – and perhaps counterintuitive – findings. These include: (1) People analytics positions in the US have actually declined in the last two years – the data suggests more than 1,000 people have left the field during this time (see FIG 10). (2) 83% of people leaving the field move to roles outside people analytics but mostly in HR. (3) People analytics positions are sensitive to changes in interest rates and money supply. FIG 10: People analytics positions have been decreasing in the last two years (Source: Revelio Labs) PIETRO MAZZOLENI - People Data Excellence: Driving Quality through Empowerment, Standardization, and Automation Ensuring high-quality (people) data is crucial for building leaders' trust in data-driven talent decisions and reducing the need for manual reconciliation. Moreover, maintaining top-tier data quality is essential for the successful implementation of AI and GenAI technologies. In the latest edition of his excellent People Data Platform newsletter, Pietro Mazzoleni breaks down the three ingredients IBM brought together to build Workforce 360, IBM’s internal people data platform, and deliver people data excellence: (1) Empowerment (“Putting Data & Knowledge in the Hands of Users”). (2) Standardisation (“Establishing a Unified Approach for data and processes”). (3) Automation (“Enhancing Efficiency Through Technology”). FIG 11: Source – Pietro Mazzoleni HENRIK HÅKANSSON - People Analytics: Generative AI | AMIT MOHINDRA – Definitions of People Analytics | KEITH MCNULTY - The Three Most Common Statistical Tests You Should Deeply Understand | LAURA HILGERS - How to Measure Quality of Hire, According to 4 Experts | JILL BARTH - How people analytics transformed this org’s HR from old-school to inspirational 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. Five are highlighted in this month’s edition. (1) Henrik Håkansson highlights a common predicament for people analytics leaders – stakeholder requests to implement GenAI. He offers sage advice on the ideal response: “GenAI is a solution. So naturally I ask: What is the problem? What is the value? Why would GenAI be better than what we are doing today? Are we trying to save money and cut costs, or actually do things better or faster?” (2) Amit Mohindra assembles a handy list of definitions of people analytics. (3) As Keith McNulty explains, hypothesis testing is one of the most fundamental elements of inferential statistics. In his article, Keith uses an example to show three common hypothesis tests (Welch’s t-test, Correlation test, and Chi-square test of difference in proportion) and how they work under the hood, as well as showing how to run them in R and Python and to understand the results. (4) Laura Hilgers’ article on the elusive quality of hire metric is a must-read for people analytics and talent acquisition professionals. It features guidance from four experts in the field: Hung Lee, Tim Sackett, SPHR, SCP (see FIG 12 for Tim’s equation to measure quality of hire), Stacey A. Gordon, MBA, and Jennifer McClure. (5) Finally, Sonia Boyle, CHRL - chief people officer at Gore Mutual, explains to Jill Barth HR Tech Editor how people analytics has been at the centre of the company’s HR transformation. FIG 12: How to measure Quality of Hire (Source: Tim Sackett) THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE DAVE ULRICH - Realizing Talent Advantage: Evidence and Implications from the Organization Guidance System In 2020, Dave Ulrich and his colleagues at The RBL Group, developed the Organization Guidance System (OGS), which was designed to align desired stakeholder outcomes across four human capital pathways: talent, organisation, leadership and human resources. Five years on, in a new series of articles, Dave provides an update on the key findings to date. In this article, Dave focuses on the talent pathway, highlighting ten talent investments that deliver stakeholder value, and then presents analysis from 187 companies on the relative impact of these investments across five stakeholder outcomes (see FIG 13). The article then describes how individual companies can use the OGS to guide investment in the areas that will provide them with the greatest return. FIG 13: Heatmap of impact of ten talent initiatives on five stakeholder outcomes (Source: Dave Ulrich) JILL GOLDSTEIN, CHRIS HAVRILLA, CHACKO THOMAS, AND CATHY FILLARE - Reimagine human potential in the gen AI era: Revolutionizing work to boost business value With their unique perspective and understanding of organizational culture, workforce needs, skills development, and change management, HR leaders are well-positioned to take a leadership role in their organization’s future of work strategy. A new study by the IBM Institute for Business Value and Oracle, highlights the top concerns facing executives around the future of work, including the need for a skills-focused foundation and a well-defined strategy. The big takeaway for HR leaders is that while executives acknowledge that HR contributes to their organisation’s future of work strategy, not enough of them are in the driver’s seat. Only one in five executives say HR owns the future of work strategy in their organisation today. The report provides guidance to HR leaders on possible actions: (1) Build a future-ready culture that encourages experimentation. (2) Give your workforce a voice in the future of work strategy. (3) Drive technology transformation and champion AI use case adoption. The report also highlights critical workforce skills that will increase in demand by 2026 (see FIG 14). (Authors: Jill Goldstein, Chris Havrilla, Chacko Thomas, and Cathy Fillare). FIG 14: Critical workforce capabilities—increases from today to 2026 (Source: IBM Institute of Business Value) WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS MCKINSEY - The gen AI skills revolution: Rethinking your talent strategy Developing the software talent companies need to grow means thinking in terms of skills rather than roles to navigate this period of uncertainty around talent. According to McKinsey research, nearly 70 percent of top economic performers, versus just half of their peers, use their own software to differentiate themselves from their competitors. GenAI offers an opportunity to multiply this value. In the article, Alharith Hussin, Anna Wiesinger, Charlotte Relyea, Martin Harrysson, Suman Thareja, Prakhar Dixit and Thao Dürschlag, provide guidance on: (1) The new skills software teams will require. (2) How their evolution will alter roles and risks. (3) How companies can orient their talent management practices toward developing skills for greater flexibility and responsiveness. This includes grounding strategic workforce planning in business needs and skills. The talent transformation starts with HR leaders developing a strategic workforce plan that’s built around skills. FIG 15: Generative AI affects every phase of the software development life cycle (Source: McKinsey) EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING VOLKER JACOBS – Squaring the Circle: Why the old promise of P&O transformation –more for less – can finally be fulfilled With effective, generative AI, P&O transformations can deliver a better, friction-free work experience for managers and employees. With a friction-free experience for managers and employees, we enable higher productivity and engagement levels. And it goes without saying that with AI taking on P&O tasks we can reduce cost of the function: More for less. Squaring the circle. Three ingredients: Data, AI, and EX. In his thoughtful paper, Volker Jacobs, CEO at employee experience experts TI PEOPLE, highlights how HR transformations have historically undelivered their promise of more business value at lower cost. Instead, Volker argues, with the capabilities offered through AI and digitisation allied to rising expectations for better work experiences, the scene is now set to realise the dream of ‘more for less’. The catalyst? A shift from transformation focus on process to data as one of three ingredients to square the circle: Data, AI and Employee Experience leading to the business outcomes including improved productivity, better customer experience, and lower cost (see FIG 16). FIG 16: Shifting HR transformation focus from process to data (Source: Volker Jacobs, TI People) MALISSA CLARK - A Workaholic’s Guide to Reclaiming Your Life In the latest edition of the Harvard Business Review, the Big Idea Series focuses on an increasingly important topic: Overcoming Overwork and Workaholism. Workaholism is defined in the lead article, by Malissa Clark, as: “Workaholism is when work dominates your thoughts and your activities, to the detriment of other aspects of your life, including but not limited to your relationships and your health.” Does that sound uncomfortably familiar? If so, like me you’ll probably welcome the six coping strategies Malissa outlines in her article: (1) Redefining “urgent”. (2) Reinventing the to-do list (see FIG 17). (3) Learning to say “no” and delegate. (4) Fixing the workaholic clock. (5) Controlling rumination. (6) Embracing rest and recovery. Through mechanisms such as redefining what is and is not urgent, fixing the workaholic clock, and embracing rest and recovery, workaholics can unlearn toxic behaviors and reclaim their time and lives. FIG 17: The Eisenhower Matrix (Source: Marissa Clark, Harvard Business Review) LEADERSHIP, CULTURE, AND LEARNING PER HUGANDER AND AMY EDMONDSON - Skills Training Links Psychological Safety to Revenue Growth Organizational performance can be improved by viewing psychological safety as a trainable skill that individuals develop with practice. Hugander Per and Amy Edmondson present a case study from Nordic bank SEB where training for executives on psychological safety and perspective taking was identified as the catalyst that enabled the investment bank to achieve revenues 25% above yearly targets in a strategically important market segment. The article provides four recommendations for leaders who want to make progress on strategic challenges and improve financial results by leveraging psychological safety and perspective-taking: (1) Focus on two levels in parallel: individuals and teams. (2) Expand leadership responsibility. (3) Keep strategy and performance front and centre. (4) Link skills to short-term gains to counteract perceived costs. For more on psychological safety, 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. ANDREW WHITE, ADAM CANWELL, AND MICHAEL SMETS - Is Your Organizational Transformation Veering Off Course? Leaders who achieve successful transformations create and maintain an environment where people can experiment, learn, and take ownership of their work — and ultimately feel good about their effort According to a study by Andrew White, Adam Canwell and Michael Smets, 96% of all organisational transformations face significant challenges that can derail the whole program. Their research identified that changes in a team’s emotional energy (“the collective mood, vibe, and intensity of emotions within a group”) can signal when a transformation is in danger (see FIG 18). They then reveal the three-step process successful leaders use to navigate a turning point – increasing transformation performance by 12 times from 6 to 72 per cent: (1) They look for shifts in the team’s emotional energy (e.g. lack of clarity on how to proceed, ineffective collaboration, decreased engagement). (2) They dig into the underlying issue at play – by involving the whole team to decide the course of action. (3) They get to action — quickly (e.g. by creating team alignment, adjusting organisational priorities, and investing in the skills and mindset required for the transformed company). FIG 18: How emotional energy can signal a transformational turning point (Source: White et al) DIVERSITY, EQUITY, INCLUSION, AND BELONGING LORI NISHIURA MACKENZIE, SARAH A. SOULE, SHELLEY J CORRELL, AND MELISSA C. THOMAS HUNT - How DEI Can Survive This Era of Backlash When they’re given adequate support — like protected time, advancement opportunities, leadership development, and compensation for their DEI work — ERG leaders can act as a strategic conduit between employees and organizational leaders. Despite recent backlash against and cuts to organisational DEI initiatives, researchers from the Stanford VMware Women’s Leadership Innovation Lab - Lori Nishiura Mackenzie, Sarah Soule, Shelley J. Correll, and Melissa C. Thomas-Hunt - argue in their Harvard Business Review article that DEI isn’t dead in the U.S. Instead, they say it’s experiencing a period of what social movement scholars call “closed doors,” where the obvious route for change is no longer easily accessible. They recently convened a gathering of 14 chief diversity officers (CDOs) to unpack what’s happening in their world. In the article, they highlight the striking similarities between current DEI strategies and the tactics used by feminist movement builders during times of closed doors — and present four strategies for continuing the important work of DEI while it’s under attack: (1) Sustain networks of people engaged in DEI work. (2) Preserve the collective memory. (3) Reframe and rename the work for survival. (4) Nurture the collective identity within the DEI community. 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 September that I recommend readers delve into: JASON CORSELLO AND THOMAS OTTER | ACADIAN VENTURES - 2024 Future of Work 100 - An excellent resource compiled by Jason Corsello and Thomas Otter of Acadian Ventures counting down the top 100 venture-backed companies building businesses that make work better, fairer, more meaningful, and ultimately more productive. Together, the Future of Work 100 has raised a cumulative $29.5 billion with a total market valuation over $140.3 billion. FIG 19: Source – Acadian Ventures PHIL WILLBURN - Global Workforce Report: Top Talent Is Hard to Find, Harder to Keep – Phil Willburn, head of people analytics at Workday summarises the key findings of the recently released Workday Global Workforce Report: Restoring Trust Before Your Top People Leave covering hiring, turnover of top performers, meaningful work, and internal mobility. Phil also highlights the key actions for business leaders: (1) Rebuild trust through transparency. (2) Make work meaningful. (3) Personalise your employee experience efforts based on tenure. (4) Embrace AI strategically. An absolute must-read. FIG 20: Current use of AI and ML for recruiting (Source: Workday) CATHERINE COPPINGER - Manager Facetime: Why It's Useful and How to Measure It – The latest in a series of insightful articles by Catherine Coppinger of Worklytics analyses the importance of manager facetime and provides guidance on how to use the insights identified to improve team effectiveness. FIG 21 – Source: Worklytics BEN COWAN - You Don’t Need to Abandon Jobs to Become a Skills-Based Organization – Ben Cowan of Degreed explains that while jobs aren’t likely to disappear this shouldn’t hinder efforts by companies to adopt skills-based talent practices: “The reality is that moving away from jobs is not something most organizations are likely to do in the near term and it does not need to hold you back from adopting other skills-based practices.” FRANCISCO MARIN - Towards a Network-First Future of Work – Francisco Marin of Cognitive Talent Solutions provides an insightful breakdown of the differences between Hierarchy-First and Network-First approaches across then organisational concepts (see FIG 22): “While hierarchies have long been the norm, favoring clear lines of authority and collaborative control, the network-first model prioritizes collaborative freedom, decentralization, and the strength of informal relationships.” FIG 22: Hierarchy-First vs. Network-First Approach (Source: Francisco Marin) 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): JEREMY SHAPIRO AND CHRIS SHULTZ - HR, Workforce Automation, and GenAI at Merck – Jeremy Shapiro and Chris Shultz join Stacia Sherman Garr and Dani Johnson on RedThread Research’s Workplace Stories podcast to share how (and why) Merck is embracing AI to streamline HR processes, support innovation, and maintain ethical considerations. COURTNEY MCMAHON – People Analytics at Colgate-Palmolive – Courtney McMahon joins Cole Napper and Scott Hines, PhD on the Directionally Correct podcast to discuss how to get a smaller people analytics function to punch above its weight, and how Colgate-Palmolive is using One Model to scale people analytics to HRBPs and the business. KEITH MCNULTY – Applying Mathematical Principles to People Analytics Part 1 | Part 2 – In a two-part episode, Keith McNulty joins hosts Matthew Lampe, PsyD, Natasha Ouslis, PhD, and Bilal Alperen Ergun on the ScienceForWork podcast to discuss how mathematical principles can be applied to organizational data and people analytics. JEFFREY PFEFFER - How Modern Work is Creating a Health Crisis - Jeffrey Pfeffer, professor of organizational behaviour at Stanford University and author of Dying for a Paycheck, joins Lars Schmidt on Redefining Work to discuss employee well-being and explore the harmful effects of workplace stress and poor working conditions on employee health. SUE CANTRELL AND TRAVIS DION - Beyond productivity: Rethinking performance metrics – In an episode of Deloitte’s Capital H podcast, host David Mallon, talks to Susan Cantrell, and Travis Dion about moving beyond traditional employee productivity metrics —followed by a roundtable discussion featuring David, Sue, Julie Duda, and Diane Sinti. VIDEO OF THE MONTH LASZLO BOCK - Former Google exec talks about what makes a strong CHRO candidate In an interview with Human Resource Executive, Laszlo Bock, former Head of HR at Google and a arch proponent of people analytics, provides guidance on what makes a strong chief people officer. He emphasises the need for HR executives to develop their understanding of business beyond a simple familiarity with their company’s products and services: “It’s not that (CHRO candidates) don’t understand that we make widgets. It’s that they don’t understand why we’re willing to pay $1.3 billion to buy a company but not $1.4 billion.” For aspiring chief people officers, I’d also recommend investigating the Berkeley Transformative CHRO Leadership Program, where Bock is co-faculty director. BOOK OF THE MONTH RAVIN JESUTHASAN AND TANUJ KAPILASHRAMI – The Skills-Powered Organization: The Journey to the Next-Generation Enterprise Ravin Jesuthasan, CFA, FRSA and Tanuj Kapilashrami provide a step-by-step guide to designing, implementing and activating the skills-powered organisation. They outline why and how jobs are giving way to skills as the currency of work and why this pivot requires us to rethink everything we know about work. The inspiring cases presented in the book discuss how leading companies are reinventing themselves to be skills-based organisations and how this is helping them to transform value for customers, communities, and stakeholders. RESEARCH REPORT OF THE MONTH MARGRIET BENTVELZEN, CORINE BOON, AND DEANNE N. DEN HARTOG - A person centered approach to individual people analytics adoption – In their paper, Margriet Bentvelzen, Corine Boon, Deanne Den Hartog study people analytics adoption through the lens of the implementation of people analytics technology. They identify four profiles related to differences in user satisfaction and the frequency and versatility of PA technology use. They demonstrate that performance benefits, social influence, required effort, and facilitating conditions jointly affect the use of PA technology, but that the latter two might be the most influential factors. FIG 23 demonstrates the four user profiles identified in the paper: the skeptic diplomats, the optimistic strugglers, the optimists, and the enthusiasts. Thanks to Dirk Jonker for highlighting this insightful contribution to the field. FIG 23: Source – Bentvelze,  Boon and Den Hartog (2024) FROM MY DESK September saw the return of the Digital HR Leaders podcast after its summer sojourn with the first four episodes of Series 41, kindly sponsored by our friends at Visier Inc.. Thanks to Adedamola Adeleke and the team. LYNDA GRATTON AND DIANE GHERSON - The Key Role of HR In Successfully Integrating a Blended Workforce – Lynda Gratton and Diane Gherson join me to discuss the impact of a blended workforce on organisational structures, the evolving role of managers, and the opportunities and challenges for HR. ANGELA LE MATHON - How GSK is Using Data, Analytics and AI to Drive its HR Transformation - Angela LE MATHON, Vice President of People Data and Analytics at GSK, joins me to explore how GSK is utilising data-driven strategies and AI integration to future-proof their HR initiatives. KEITH BIGELOW - HR’s Strategic Role in Managing the AI-driven Talent Restructure – Keith Bigelow, Chief Product Officer at Visier, joins me to explore the critical role HR plays in leading digital transformation—and how AI is changing the game. TANUJ KAPILASHRAMI AND RAVIN JESUTHASAN - How to Build the Skills-Powered Organisation – Tanuj Kapilashrami and Ravin Jesuthasan, CFA, FRSA join me to share insights from their book, The Skills-Powered Organisation: The Journey to the Next-Generation Enterprise (see Book of the Month). Tanuj also shares insights from the skills journey at Standard Chartered, including how the bank quantified a saving of $60,000 per person by upskilling and reskilling employees to redeploy talent from sunset jobs to sunrise jobs. Skills [are] becoming the currency of work and work flowing not to jobs, but to skills... If done well, it has the massive power to unlock untapped productivity potential within 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 close to 500 roles – and has now been developed into a LinkedIn newsletter too. THANK YOU Srikant Chellappa and the team at Engagedly Inc for including me in their 8th annual list of the 2024 Top 100 HR Influencers Hallie Bregman, PhD for her wonderfully generous post following our meeting at the Boston People Analytics MeetUp organised by Ramesh Karpagavinayagam – Hallie, it was wonderful to meet you too. Paul Daley for referencing the Digital HR Leaders podcast episode with Diane Gherson and Lynda Gratton in his post on how HR strategy needs to support the independent / blended / contingent workforce of the future Similarly thanks to Olimpiusz Papiez for his post sharing his takeaways from the podcast episode with Diane and Lynda Thanks also to Jaqueline Oliveira-Cella for her post, are you ready for the shift, which was also inspired by the podcast episode with Diane and Lynda Piyush Mathur for providing his takeaways on insight without outcome is overhead in relation to his speaking sessions at the Peer Meetings in New York and Vevey for member organisations of the Insight222 People Analytics Program Esther Abraas for including my article, The role of Organisational Network Analysis in People Analytics, in her excellent list of ONA resources. Wayne Tarken for his post on How AI can Help HR, which was informed by the digital HR Leaders podcast episode with Nickle Lamoreaux on how AI is transforming HR at IBM. Thomas Kohler for including the podcast episode with Keith Bigelow in his weekly round-up of future of work resources. The Talent Games for including me in their list of HR Leaders redefining the Future of Workin recognition of HR Professionals Day. Finally, a huge thank you to the following people who shared the August edition of Data Driven HR Monthly and other content in the last few weeks. It's much appreciated: Craig Forman Zornitza Iankova, SPHR Brandon Merritt Johnson Hrvoje Bulat Rebecca Hone Michael Arena Emma Mercer (Assoc CIPD, MLPI) Dr. Max Muge Bakkaloglu Priyanka Mehrotra Kerry Ghize Deviprasad Panda Richard Stein Stela Lupushor David Balls (FCIPD) Emily Ricci Danielle Farrell Dan George Patrick Coolen Catriona Lindsay Katrina A. Stevens, CHRE Kouros Behzad Kathleen Kruse Martha Curioni Adam McKinnon, PhD. Greg Newman Dr Philip Gibbs Sally Smith Hanadi El Sayyed David van Lochem Amardeep Singh, MBA Rick Rome Ken Oehler Vaibhav Deshmukh María Victoria Sáinz Roshaunda Green, MBA, CDSP, Phenom Certified Recruiter Aysun Öz Serena H. Huang, Ph.D. Nelson Spencer Tristan Hack Penny Newman Vivek Ojha Aravind Warrier Francisca Solano Beneitez Kalifa Oliver, Ph.D. Stephanie Murphy, Ph.D. John Healy Greg Pryor Lewis Garrad Jose Luis Chavez Vasquez Audrey Burke-McCarthy, MBA, Adv Dip Coaching, MII Grad Aurélie Crégut Max Blumberg (JA) ?? Vanessa Monsequeira Shujaat Ahmad Jeff Wellstead Jackson Roatch Maria Alice Jovinski Rafael Uribe Truong Hong Ha (Mr Niem Tin) Dan Weiss David Hodges Toby Culshaw David McLean Dr. Peter Schulz-Rittich Timo Tischer Stephanie Denino Jacqui Brassey, PhD, MA, MAfN ?️ (née Schouten) Gianni Giacomelli Terri Horton, EdD, MBA, MA, SHRM-CP, PHR Placid Jover Andrews Cobbinah, MLPI, ACIHRM Emily Killham Al Adamsen Tim Frazier Tim Peffers Julie Asselin Chandresh Natu Anabel Fall Ralf Buechsenschuss Anna A. Tavis, PhD Marcela Niemeyer Meta McKinney, MLIS Aritra Majumdar Gustavo Araujo Vijaya Das Kirsten Edwards Graham Tollit Joy Kolb Remco van Es Ahmed Salah ?? Sebastian Knepper Melissa Beasley Bo Vialle-Derksen Malgorzata Langlois Abhilash Bodanapu Isabel Naidoo Marino Mugayar-Baldocchi Nirit Peled-Muntz Ron Ben Oz Littal Shemer Haim (ליטל שמר חיים) Joseph Frank, PhD CCP GWCCM Bob Pulver Jaejin Lee Kristhy Bartels Geetanjali Gamel Chris Hare Alicia Roach Caitie Jacobson John Gunawan Doug Shagam Davey Nickels Paul Davies Tatu Westling Mia Norgren Nick Lynn Alexandra Nawrat Gal Mozes, PhD Dave Millner Prachi Agasti Jacob Nielsen Matt Elk Chris Long Kimberly Rose Ilse Venter Søren Kold Irada Sadykhova Dave Fineman Agnes Garaba Sebastián Mestre Victoria Holdsworth Elpida Ormanidou Megan Buttita, MLIS Danielle Bushen Robert Bolton Stephen Hickey Dolapo (Dolly) Oyenuga Higor Gomes Irene Wong Ludek Stehlik, Ph.D. Sonia Mooney Mariami Lolashvili Joonghak Lee Raja Sengupta Swechha Mohapatra (IHRP-SP, SHRM-SCP, CIPD) Alfonso Bustos, Ph.D. Marcela Mury Olivier Bougarel Martijn Wiertz Veronika Birkheim 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 30 - New York Strategic HR Analytics MeetUp - Workestration: Working across human, digital and physical workplace dimensi (New York) 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.
    HR strategy
    2024年09月29日
  • HR strategy
    8个人力资源分析示例和实际用例 数据是强大人力资源战略的基石。这里有8个人力资源分析示例可以帮助您入门。 任何公司的最大目标之一就是利用员工的力量来改善他们的业务。人力资源分析旨在做到这一点。它可以帮助您收集和分析所有 HR 数据，准确显示您需要改进的地方。您如何使用此工具将取决于您的业务和目标。 以下是您需要了解的所有信息，以及一些人力资源分析示例，这些示例将使您从一开始就走上正确的道路。 什么是人力资源分析？ 人力资源分析是收集、分析和报告 HR 数据的过程，以改善业务成果并就您的员工做出明智的决策。它包括与您的人力资源相关的所有数据，包括招聘时间、提高效率时间、保留率、敬业度等。 一些公司还使用人员分析和劳动力分析这两个术语。这些是相似的概念，但它们并不完全相同。顾名思义，人员分析处理与人员相关的数据。这可能代表员工，但也可能代表着公司以外的人，包括客户。 劳动力分析严格处理与劳动力相关的数据。员工、自由职业者、零工，甚至顾问都属于这一类。 所有类型的分析都有类似的目标：帮助企业对其员工和业务流程做出基于数据的决策。 如何使用人力资源分析 人力资源分析的成功秘诀不唯一。这完全取决于您的目标和策略。以下是帮助您走上正确道路的几个步骤。 1.定义你的目标。不要忘记让它们变得SMART——具体（S）、可衡量(M)、可实现（A）、相关（R）和有时限（T）。目标定义得越好，就越容易通过人力资源分析取得成功。 2.收集准确的数据。为了拥有数据而收集数据是没有意义的。选择符合您的目标、准确且最新的数据。您可以使用内部和外部资源、自动化工具或手动收集。 3.选择用于数据分析的工具。分析数据是人力资源分析的核心，但对于大多数企业来说，手动分析将是一项不可能完成的任务。选择一种易于与您的系统集成的工具，并帮助您加快和自动化流程。 4.数据分析。根据您的目标，您可以使用一种或几种类型的分析。选项包括： 预测分析，指导您预测未来与人力资源相关的结果。 规范性分析，帮助您了解实现特定目标所需的步骤。 诊断分析，可帮助您了解发生某些事情的原因。 描述性分析，提供历史趋势的摘要，以帮助您更好地了解当前趋势。 鼓励数据驱动的决策。如果您在决策过程中不使用数据，人力资源分析很快就会成为资源浪费。让数据成为您所有流程的一部分，从招聘到薪酬和绩效评估。 8个人力资源分析示例 有很多使用人力资源分析的方法。无论您选择预测性分析还是规范性分析，人力资源分析都可以通过多种方式为您提供帮助。 人力资源分析中的预测分析示例 预测性人力资源分析使用统计数据和历史数据来帮助您预测未来趋势。这里有几个例子。 1.员工流失率预测。了解什么可能促使员工辞职以及何时可能发生，这对任何企业都至关重要。通过人力资源分析，您可以了解哪些因素会影响这些决策，以便您可以利用数据并提高员工保留率。 2.绩效预测。在尝试创建程序以提高绩效时，您需要清楚地了解是什么驱使某人成为最佳绩效者。通过预测性HR分析，您可以了解您的计划成功的可能性，并创建能够产生真正影响的独家计划。 3.继任计划。要制定强有力的继任计划计划，您必须确定最有可能成为优秀领导者的员工。预测分析可以指导您进行选择过程，并帮助您创建成功的计划。 4.成功招聘。预测候选人是否会在某个职位上取得成功可以帮助您获得更好的人才。加强招聘流程可以提高绩效并加快生产力。 人力资源规范性分析示例 规范性分析使预测分析更进一步。预测分析向您展示了可能发生的情况。规范性分析可帮助您找出可以做些什么。这里有四个例子。 1.留住人才策略。了解员工何时以及为什么可能辞职是件好事，但如果您不想失去顶尖人才，就不能止步于此。规范性分析可以向您展示可以吸引员工的具体保留策略。 2.招聘策略。人才招聘是一个关键过程。这不仅是因为它的成本，还因为整个公司的成功都取决于它。规范性分析可以帮助您找到吸引顶尖人才、提高录取率等策略。 3.多元化和包容性举措。DE&I 不仅仅是一个流行语。这应该是每家公司的首要任务。使用规范性分析将指导您根据您今天所处的位置选择最佳的 DE&I 计划。 4.内部流动策略。员工喜欢与为他们提供横向和垂直流动机会的公司合作。通过规范性分析，您可以发现内部流动、指导等最有效的策略。 要衡量的人力资源分析指标 人力资源指标对于评估公司内任何计划的成功至关重要。它们会向你展示某件事的运作情况，它们是发现负面趋势的好方法。以下是要跟踪的四个人力资源分析指标。 雇佣时间。填补（或雇用）的时间是衡量您的人才招聘计划效果的绝佳指标。填补职位所需的时间越多，浪费的资源就越多，招聘计划就越无效。 员工流失率。此指标评估留存策略的成功与否。在使用预测性人力资源分析时，它特别有价值。它可以帮助您分析预测的正确性并相应地调整您的流程。 晋升和内部流动率。跟踪公司内部的垂直和横向移动速率。数字越高，您的继任计划和内部流动策略就越好。当员工可以晋升到新职位时，这表明您拥有健康的人才管道和大量的发展机会。 多样性和包容性指标。您可能已经猜到了，但这些指标向您展示了 DE&I 计划的成功。除了人力资源分析外，它们还可以帮助您创建更具包容性的文化，让每个人都感到受欢迎并拥有平等的机会。 使用人力资源分析的公司示例 了解好处以及如何使用人力资源分析是一回事。但是在实践中看到它总是比仅仅通过理论要好。让我们来看看一些成功实施人力资源分析的公司。 1. eBay 全球商务公司 eBay 使用人力资源分析和洞察力的一种方式是做出数据驱动的决策，以改善员工体验。Scott Judd，人员分析与技术高级总监分享道：“在许多方面，员工是任何公司拥有的最重要的资产，你需要数据来了解如何帮助他们留在你的公司并帮助他们进步。分析是利用数据推动这些讨论的好方法，并帮助让员工的未来更加激动人心，让客户的未来更加美好。” 通过在整个员工生命周期中使用人力资源分析，eBay 可以发现提高员工保留率的新方法，例如晋升、薪酬变化和职业发展规划。 2. Providence Providence使用人力资源分析来改进招聘策略。在紧张的劳动力市场中，他们的团队能够利用洞察力准确预测职位空缺，并主动招聘合适的人才，以确保他们在正确的时间让合适的人担任合适的职位，最终为公司节省了 300 万美元。 通过集中人员和业务数据，Providence获得了强大、易于理解的见解，企业领导者可以使用这些见解来做出影响劳动力和底线的明智招聘决策。 3. Protective Life Protective Life 使用人力资源分析来预测员工流动率，以减缓辞职速度，衡量 DE&I 进展，并让HR以外的企业领导者参与进来。人力资源分析与人力资源信息系统副总裁马修·汉密尔顿(Matthew Hamilton)说道：“将数据交到领导者手中并使数据民主化非常重要。很多变化发生在一线或中层经理级别。因此，将相关见解掌握在他们手中非常重要，这样他们就可以使用数据并最终利用这些变革杠杆来改善员工体验、增加工作多样性、提升人才水平和提高获取能力。” 通过使用 HR 分析并将人员洞察直接交到领导者手中，Protective Life能够为关键决策者提供影响业务绩效所需的见解。 Source VISIER
    HR strategy
    2024年01月31日
  • HR strategy
    Don’t Be A Copy-Cat: People Analytics as the Antidote to HR Strategy Copy-Cats This article is written to discuss: why copying the HR practices that everyone else uses doesn’t lead to the positive outcomes you assume it will. DISCLAIMER: If you like the HR strategy at your organization, you can probably stop reading now… If not, feel free to keep reading. Context Childhood wisdom: No one likes a copy-cat. We all remember being children once. Kids are known to tease each other from time to time. One common reason to be teased when you were a child was being called a “copy-cat”. It didn’t feel good, often because we knew that if we were labeled a copy-cat, it was likely true. We were copying someone else. It felt bereft, unoriginal, and commonplace. We knew we were capable of being more, but we had settled for less. We were better than that. HR strategy can be better than that too. Fast forward to the present, in HR being a copy-cat is all the rage. A priestly caste of HR influencers, HR tech consultants, FAANG companies, and sometimes even academics determine what is considered ‘en vogue’ as an HR strategy. Then, early adopter HR departments fall in-line; followed by the early majority and late majority after a few HR monkeys get “shot into space” without injury. The laggards may never arrive because they are still trying to move away from using paper files stuffed in filing cabinets, but nonetheless, being a copy-cat all the sudden became cool. Why be original when you could be doing what everyone else is doing? Perhaps, this is why Forrester is forecasting an EX winter coming soon… In the African savanna, large numbers of herd animals, such as wildebeest, zebra, and gazelles, travel in packs. Why do they do this? Because there is safety in numbers. A zebra with a single imperfection or mark is easily identified and pulled from the pack by predators. Is the same true for HR? Are we safer in a pack? Is there wisdom in being a copy-cat? Would anything different make us stand out and therefore be put in danger? I think not. I think the opposite is true, in fact. If you do all the same things as your competitors, how can you expect to get different results? Does this HR strategy sound familiar? “We’re going to try to hire the best talent, but only pay at the 50th percentile.” “We’re a performance-driven organization, but we’re going to do performance reviews once a year on a 5-point rating scale, and we’ve got to implement a pay-for-performance incentive structure.” “Our HR operating model is to use HR Business Partners, Centers of Excellence, and Shared Services.” “We’re going to copy what Google did 10 years ago, or what GE did in the 80s.” “We’re going to make data-driven decisions. I know! Let’s create another HR dashboard.” If your organization wants to be radically better, it’s going to have to try some things that are radically different. Did anyone see Coinbase’s recent blog on Talent Density? I’m not saying I agree with the changes to their HR strategy, but at least they are trying to differentiate their HR strategy to be something different. They are getting into the game, for better or worse. Source What To Do, What To Do? HR strategy should be composed of elements that are as unique to your business as your business strategy is unique to your business. It’s really as simple as that. HR Strategy is upstream of people analytics. A vanilla, copy-cat HR strategy is going to lead to vanilla, copy-cat people analytics. In my opinion, people analytics doesn’t spend enough of its resources trying to familiarize itself, influence, and control HR strategy. People analytics should speak in the social currency of the organization. We should embed ourselves and influence key decision making, and have a seat at the table by speaking in the language of the business. There is social capital to be had, and the more I learn, the more I realize the necessity of this alternative currency. We should drive strategy. With generative AI disrupting the value that human capital brings to organizations, who are the organizations that are going to be the innovators of tomorrow? Who are the organizations who will get the message early? Who will treat the need for differentiation with the existential demand that it dictates? Who will survive? Source “Best Practices” I’m tired of the term ‘best practices’. I’m at a point in my career where I bristle when I hear someone say it. Perhaps it's one of the reasons why some people hate HR. Organizational research is important, but best practices are a road to mediocrity. No one ever got fired for going with IBM, and no one ever got fired for using best practices… Until the whole firm loses to its competition, and everyone gets fired. Read it again, and think about that. It’s a short-term vs long-term thinking dilemma. Obviously, balance the two, but make sure to think with the long-term in mind. What if instead of copy-catting, you: A/B tested your HR strategy against those of other firms Used opposition research to understand your competitors HR strategy better, so you can do something different Implemented evidence-based practices on commoditized work, but experimented with firm-specific practices in the most strategically-relevant work Focused on first-principles thinking as to how firm value is derived by its talent Choose function over fad, when it comes to HR strategy Rebuild HR strategy like the Oaklands As (and the Houston Astros) tore down and rebuilt their teams based on talent derived from data. Embed data, measurement, accountability, and the “improvement feedback loop” into every single workstream that HR engages. Henry Ford once said “if you always do what you’ve always done, you always get what you’ve always got.” HR could be convicted of being mediocre. Average is over (or maybe even above average is over?). Differentiation is king. Strategic neglect (i.e., neglecting things that don’t add value) is also a valuable tool. Where do we need to be world class? Where can we be average? Answer those questions, then execute. Source Rebuilding HR Around Data & Measurement In most HR functions, data is only used to validate, not to guide. No one thinks for themselves. Mimicry and mimesis abound. People analytics is a competitive advantage for firms who use it properly. People analytics is the future of HR. Proclamations such as this have been made consistently in the past (e.g., HR is over, remote work is the future, there is no need for management, human tasks at work will be automated with AI, etc.), but this one is for real. Firms who are not embedding data into the way they do business, evaluating what they do with data, and projecting the future with data are going to be irrelevant. In the future, even in the age of generative AI, there is only one currency, and that is truth. Truth can only be derived as data put into practice. Classical test theory states that all measurement is “truth-plus-error”, with error being any deviation between measurement and the truth. Some stakeholders believe that to mean that truth can never be attained because error will always exist. Practically, this is a misinterpretation. Organizations that can manifest the best data with the least error will be the closest to truth, and therein lies the root of competitive advantage via data. People analytics is not inherently useful. Data is not inherently useful. Only accurate data, with analysis and cogent results, derived into a form that facilitates timely and accurate decision making, and that is put into action, is useful. And across the aggregate of thousands, if not millions of small decisions made leads one organization to prevailing over another. May the odds ever be in your favor. Source Moving Forward “Traditional HR” has been on the way out for decades. This article is for HR people who believe in challenging the status quo. Deep down they know there is a better way; a way forward for their organization. To not outsource their originality to others. To not be a copy-cat. Let’s focus on what the pathway forward looks like with a new highest principle – no longer “what is everyone else doing?” – but with data and measurement at the center. This article is for the HR professional who knows that HR can be smarter, faster, and better at their organization, and they are bound to make it happen. Join the movement. Don’t be a copy-cat. Let’s see how high we can fly together. PS - I’m thinking of writing a book on this topic. If you’re a publisher and you are interested in this topic, or others I’ve written about before, please contact me directly. Special shout out: Thanks to Brad Harris & Pat Downes for our previous conversations on this topic. I hope you like this article. If so, I have a few more articles coming out soon. Stay tuned. If you are interested in learning more directly from me, please connect with me on LinkedIn. Cole’s recent articles What’s Old is New: The Quest for Excellence in Workforce Planning A Historian, Demographer, & Data Scientist Walk Into a Bar… The Phoenix & The Dragon Why Buy When You Could Rent: SEC’s Push for Human Capital Disclosure Elephant Hunting: Weighing Human vs. Algorithmic Input to Decision Making For access to all of Cole’s previous articles, go here. By: Cole Napper 原文来自：https://directionallycorrectnews.substack.com/p/dont-be-a-copy-cat-people-analytics
    HR strategy
    2023年11月30日
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