David Green:The best HR & People Analytics articles of August 2024
I’ve just returned from a three-week family holiday in the South of France and am feeling refreshed, recharged and ready for the final four months of the year. These are invariably the busiest for the team at Insight222, and 2024 is set to be no different.
The Digital HR Leaders podcast returns from its summer sojourn on September 3 with a special episode on how HR can help their organisations embrace the blended workforce, featuring Diane Gherson and Lynda Gratton, and based on their brilliant recent HBRarticle,
The Insight222 Global Executive Retreat, which we host annually for leaders of 100+ companies that are part of the Insight222 People Analytics Program, takes place in Amsterdam from September 24-26 with guest speakers including: Erin Meyer, Prasad Setty, Janine Vos, and a workshop on storytelling with Duarte, Inc..
The fifth annual Insight222 People Analytics Trends report, which studies how leading companies are using people analytics to generate business value will be published in October – you can read the 2023 study here.
Additionally, I will be speaking at a number of conferences before the end of the year including Workday Rising (Las Vegas, September 16-19), People Analytics World (New York, October 2-3), UNLEASH World (Paris, October 16-17), and Workday Rising EMEA (London, November 12-14).
This edition of the Data Driven HR Monthly is sponsored by our friends at 365Talents
365Talents goes beyond traditional approaches, offering more than just technology for Skills-Based Organizations. Our approach is not just about managing skills; it's about making the entire process seamless, effective, and enjoyable. Picture real-time insights into your workforce's skills, coupled with the expertise to implement strategic HR projects aligning with your business goals.
Our experience in talent mobility and skill development contribute to creating a more democratic, inclusive, and future-ready world of work where every individual has the power to shape their professional path. Start your skills journey with 365Talents today and join the ranks of trailblazers like Veolia, SLB, TotalEnergies, SocGen, and more! To find out more click here: https://www.365talents.com/en/lp/experience-365talents
2024 Skills Impact Report
In today’s fast-paced and increasingly disruptive environment, companies need to adopt a more flexible approach that puts its people and their skills at the center of its talent management strategies. This has become more and more imperative as:
59% of the global workforce are disengaged.
69% of job candidates say they would reject a job offer from an employer with a negative reputation, even if they were unemployed.
87% of organizations currently have an existing skills gap or expect to within the next two to ten years.
Enter the 2024 Skills Impact Report. It explores the business imperative of talent experience for Skills-Based Organizations, the impact it has on your employees, the pillars of design thinking for HR and how to start applying it to your strategy with 5 intuitive roadmap worksheets.
CASE STUDY: SEGULA Technologies Group
In 2020, as the world faced significant engineering transformations, the COVID crisis, talent shortages, and the rise of AI, SEGULA Technologies Group launched a strategic initiative to plan and manage the resources and skills of its workforce. The goal of this ambitious project was to identify and leverage the talents of the Group's 15,000 employees across 30 countries, using AI to drive innovative skills management and enhance overall performance.
Read the Case Study to learn all the steps and actions taken to successfully tackle the challenge!
To sponsor an edition of the Data Driven HR Monthly, and share your brand with more than 130,000 Data Driven HR Monthly subscribers, send an email to dgreen@zandel.org.
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Enjoy reading the collection of resources for August and, if you do, please share some data driven HR love with your colleagues and networks. Thanks to the many of you who liked, shared and/or commented on July’s compendium.
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NEW: Insight222 research report on the People Analytics Ecosystem
Access the new Insight222 study here: Building the People Analytics Ecosystem: Operating Model v 2.0.
HYBRID, GENERATIVE AI AND THE FUTURE OF WORK
MCKINSEY - Gen AI’s next inflection point: From employee experimentation to organizational transformation
HR plays an especially important role in gen AI, both by transforming the people domain and by acting as a gen AI copilot for all employees. One executive noted that for every $1 spent on technology, $5 should be spent on people.
A new study by McKinsey finds that to generate value from the momentum associated with GenAI, businesses must transform their processes, structures, and approach to talent. The article, penned by Charlotte Relyea, Dana Maor, Sandra Durth, and Jan Bouly, outlines the key findings from the research: (1) Employee use is at an inflection point, while their organisations lag behind. (2) The next inflection point will see organisations shift from individual experimentation to strategic value capture. (3) Reinvent domains by translating vision into value. (4) Reimagine talent and skilling by putting people at the centre (see FIG 1). (5) Reinforce the changes to continue transforming (“To make gen AI changes stick, organizations need the right infrastructure to support continuous change and win over hearts and minds”).
FIG 1: Early adopters prioritise talent and the human side of GenAI more than other companies (Source: McKinsey)
DAVE ULRICH - How are You Doing at AI for HR? A Ten-Item Assessment to Evaluate Your Progress
Getting started in AI for HR often begins with initiatives that can be done relatively quickly and easily.
Dave Ulrich shares key takeaways from a recent deep-dive, he and his colleagues at The RBL Group facilitated with senior HR leaders on AI in HR. He distils these into ten dimensions designed to help HR leaders assess how they are doing at applying AI for HR to their organisation (see FIG 2). These include: (1) Articulate a business case. (2) Develop Talent who can ‘do’ AI. (3) Create Responsible AI policies. (4) Create metrics to guide and measure success. (5) Start with low-hanging fruit.
FIG 2: Criteria to evaluate how well your organisation is using AI for HR (Source: Dave Ulrich)
DUNCAN HARRIS AND KATE ZOLNER - 5 Employee Fears of AI and How to Overcome Them
If companies want to get the most out of AI, they need employee trust. Securing it is not easy. More than three-quarters of employees don’t think their organization’s future use of the technology will be ethical.
Duncan Harris and Kate Zolner present the findings of Gartner research on the five main employee fears of AI use by their organisations (see FIG 3), which have a negative impact on employee trust. They then explain how leaders can address these fears through initiatives in areas such as learning, co-creation, effective communications, ethics and data privacy. As well as enabling the organisation to benefit from AI, Harris and Zolner argue that these solutions will lead to higher levels of inclusion, engagement and effort.
FIG 3: Five Employee Fears of Organizational AI Use (Source: Gartner)
STACIA GARR - How is HR using Gen AI today? | MAX BLUMBERG - GenAI in HR: Slashing Costs, Boosting Efficiency | SWANAND DEODHAR, FAVOUR BOROKINI, AND BEN WABER - How Companies Can Take a Global Approach to AI Ethics | BAIN - AI Survey: Four Themes Emerging
Four more resources tracking topics related to GenAI in HR. (1) Stacia Sherman Garr’s LinkedIn post summarises RedThread Research analysis of how HR is using GenAI today (see FIG 4). (2) Max Blumberg (JA) ?? provides a summary of his report on Slashing HR Costs: The Ultimate Blueprint for Implementing GenAI in HR, which provides guidance on implementing GenAI to transform HR cost efficiency, and includes Max’s GenAI HR Cost Reduction Maturity Model (see FIG 5). (3) Ben Waber teams up with Swanand Deodhar and Favour Borokini in a Harvard Business Review article offering guidance on how companies can take a global approach to AI ethics: “Because AI and related data regulations are rarely uniform across geographies, compliance can be difficult. To address this problem, companies need to develop a contextual global AI ethics model that prioritizes collaboration with local teams and stakeholders and devolves decision-making authority to those local teams.” (4) Gene R., Sanjin Bicanic, Jue Wang, Richard Lichtenstein, and Arjun Dutt share the four key themes that emerged from Bain’s recent AI survey, which includes that the emphasis has shifted from experimentation in 2023 to delivering real value 12 months later – thanks to Hung Lee for sharing Bain’s research in a recent edition of Recruiting Brainfood.
FIG 4: How HR is using GenAI (Source: RedThread Research)
FIG 5: GenAI HR Cost Reduction Maturity Model (Source: Max Blumberg)
MARC EFFRON - Above the Fray: What We Know About How WFH and Hybrid Affect Work
We should approach solving this problem in the same intelligent way as we suggest all human problems be solved – start with the science.
As his article on skills-based organisations testified, Marc Effron has a penchant for cutting through the hype and getting to the heart of an issue. As such, I highly recommend digging into his new analysis on what the science and evidence says are the trade-offs among WFO, WFH and hybrid work. Firstly, Effron dispels four myths propagated by proponents and opponents on CEOs, real estate, proximity bias and employees who prefer WFH. Then he examines the consequences of different work arrangements on (1) performance, (2) creativity, (3) innovation (4) work relationships, (5) collaboration, and (6) managing based on the emerging knowledge available via Google Scholar.
LYNDA GRATTON - Seven Truths About Hybrid Work and Productivity | BRIAN ELLIOTT - Hybrid Work: How Leaders Build In-Person Moments That Matter | REBECCA KNIGHT - 17 Team-Building Activities for In-Person, Remote, and Hybrid Teams
To get the most from hybrid work, leaders should prepare for trade-offs, make expectations clear, and think harder about how productivity is measured.
Three more resources on hybrid work to read in conjunction with Marc Effron’s article above. First, Lynda Gratton unveils seven key findings from what she is seeing from experiments in hybrid working including: (1) Hybrid work is a continuum. (2) Productivity is usually challenging — and measurement is always complex. (3) It’s useful to view hybrid work as fundamentally a job design option. Second, Brian Elliott provides guidance on the four essential times leaders should be intentional about building moments that matter for hybrid workers: (1) Team development (“Get people together three or four times a year, with a 50-50 mix of business and social”). (2) Onboarding and training. (3) New-team formation and major-initiative kick-offs (“Grapple together over the objectives and norms of a project”). (4) Business-function-specific activities (“Let teams figure out the best in-person schedules for their needs”). Finally, Rebecca M. Knight provides guidance to leaders on team-building activities for in-person, remote and hybrid teams.
FIG 6: Focus on Productivity, Not Physical Presence (Source: Brian Elliott, Future Forum)
PEOPLE ANALYTICS
NAOMI VERGHESE, JONATHAN FERRAR, AND JORDAN PETTMAN - Building the People Analytics Ecosystem: Operating Model v2.0 ARTICLE | FULL REPORT
One of the questions we get asked most by the people analytics leaders and chief people officers we work with at Insight222 is: What capabilities do I need to build into our people analytics function? Based on research of more than 250 companies, focus interviews with 20 organisations, and our experience of working with more than 120 global companies as part of the Insight222 People Analytics Program, my colleagues Naomi Verghese, Jonathan Ferrar and Jordan Pettman have developed a new report: Building the People Analytics Ecosystem: Operating Model v 2.0. The executive article provides a summary of the key highlights, while the full report breaks down the six elements of the People Analytics Ecosystem (see FIG 7): (1) A Value Chain: from client drivers to business outcomes. (2) People Strategy at the Centre: a symbiotic relationship exists between people strategy and people analytics. (3) Five Core Capabilities: consulting, data science and research, employee listening, analytics at scale, adoption. (4) Four Additional Capabilities: reporting, data governance, workforce planning, AI strategy. (5) Internal Partnerships: HR and other business stakeholders are key to operational effectiveness. (6) External Partnerships: external suppliers and expertise are important for enabling success.
FIG 7: The People Analytics Ecosystem (Source: Insight222 Building the People Analytics Ecosystem: Operating Model v 2.0)
NELSON SPENCER - Introducing the S.T.A.R.T. Framework
The strategy pillar is all about aligning with your overall HR and Business goals. You should be able to connect how your strategy is driving business outcomes.
Nelson Spencer, who has worked in both sports and people analytics, presents his S.T.A.R.T Framework (see FIG 8), which is designed to solve a perennial problem for many HR functions: the disconnect between analytics, technology and operations. As Nelson explains, S.T.A.R.T has been designed “to consider these three critical functions holistically, acknowledging that they are part of a bigger puzzle and are all deeply interconnected.” The five pillars, which Nelson describes in detail in his article, are: (1) Strategy, (2) Technology, (3) Analytics, (4) Results, and (5) Transformation. He then provides guidance on how to implement the framework in organisations of varying sizes, from small to large.
FIG 8: The S.T.A.R.T Framework (Source: Nelson Spencer)
MICHAEL LUCA AND AMY EDMONDSON - Where Data-Driven Decision-Making Can Go Wrong
When making decisions (using data), managers should consider internal validity—whether an analysis accurately answers a question in the context in which it was studied. They should also consider external validity—the extent to which they can generalize results from one context to another.
Drawing on their research and work with companies, Michael Luca and Amy Edmondson present an approach that considers internal validity and external validity that leaders can apply to discussions of data to support better decision-making. This approach is designed to help leaders avoid five common pitfalls (see FIG 9) associated with data-driven decision-making.
FIG 9: How to avoid predictable errors (Source: Michael Luca and Amy Edmondson)
WILLIS JENSEN - Building a Network View of Data | MARTHA CURIONI - Supporting HR Adoption of People Analytics | JACKSON ROATCH - Your Best Career Move could be Going for a Run | SERENA HUANG - The Future of Work is Wellbeing | JASPAR SPANJAART - How NVIDIA's Talent Intelligence approach helped fuel its trillion-dollar rise | TOBY CULSHAW - The Talent Nexus: Redefining Business Agility for the 21st Century CEO
In each edition of the Data Driven HR Monthly, I feature a collection of articles by current and recent people analytics leaders. These are intended to act as a spur and inspiration to the field. Six are highlighted in this month’s edition. (1) In another excellent edition of his Making People Analytics Real blog, Willis Jensen discusses how to get a network view of data: “Linking your data together should be a top priority for any people analytics team.” (2) Martha Curioni provides guidance on how to support HR to adopt people analytics harnessing insights from the likes of Isabel Naidoo, Patrick Coolen, Greg Newman, and Amit Mohindra. One of Martha’s tips focuses on the importance of including HRBP’s rather than going around them. (3) As someone whose best ideas invariably come when I’m on a run, I particularly enjoyed Jackson Roatch’s article exploring the link between physical exercise and workplace learning, performance and thriving. (4) In an edition of her From Data to Action blog, Serena H. Huang, Ph.D. explores how AI can support wellbeing and lays out a ten-point plan on responsible AI principles for workplace wellbeing (see FIG 10). (5) NVIDIA’s Meta McKinney, MLIS and Nickolas Dowler, MBA explain to Jasper Spanjaart how the company’s Talent Intelligence strategy helped fuel its growth: “A winning Talent Intelligence strategy requires several key ingredients: data-driven and tested theories, meticulous and thoughtful research, reliable data, creative problem-solving, clear communication of the rationale, trusted relationships with business leaders, and the financial support and freedom to execute.” (6) Toby Culshaw provides a compelling breakdown of what he describes as The Talent Nexus: “The Talent Nexus represents a revolutionary approach to talent management and acquisition in the modern business landscape. It's an AI-driven, quantum-computing-enhanced ecosystem that transforms how organizations interact with, deploy, and develop talent.” A must-read for all those involved in talent intelligence, people analytics and workforce planning.
FIG 10: Responsible AI Principles for Workplace Wellbeing (Source: Serena Huang)
THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE
RAVIN JESUTHASAN - The AI revolution is coming to L&D
AI will empower the L&D function to support strategic workforce planning through skills-related insights and interventions. This will help organizations shift from costly ‘churn and burn’ strategies to more cost-effective and sustainable reskilling and upskilling programs.
Ravin Jesuthasan, CFA, FRSA examines how AI is set to transform the learning and development function. He highlights Mercer analysis that finds that AI and automation will likely augment some L&D activities (see FIG 11), as well as outlining four potential AI uses cases for corporate L&D: (1) Producing L&D content. (2) Personalising L&D delivery. (3) Driving the skills-powered revolution. (4) Democratising knowledge. For more from Ravin, watch the recent LinkedIn Live on Skills-Powered Organisations in the Age of AI, which I moderated and featured Ravin alongside Tanuj Kapilashrami.
FIG 11: Time by task: L&D versus AI and Automation (Source: Mercer)
NANCY DUARTE - Are Your Presentations Too Emotional — or Too Analytical?
When making a presentation, leaders need to balance appeals to both logic and emotion — the head and the heart.
Nancy Duarte provides invaluable guidance on how to strike a balance between logic and emotion when making a presentation, and how credibility plays a crucial role in this balancing act. She explains that the first step in achieving this balance is understanding the audience: “Are they data-driven decision makers who thrive on statistics and factual evidence? Or are they more likely to be swayed by personal stories and emotional connections?”
FIG 12: An Analytical and Emotional Balance That’s Just Right (Source: Nancy Duarte)
WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS
SANDRA LOUGHLIN – Seven Elements of Skills Data Quality
Skills data quality isn’t talked about much despite being the foundation for the SBO value proposition, a critical input to selecting and gaining value from skills tech vendors, and arguably the most difficult part of a skills transformation.
These wise words open Sandra Loughlin, PhD’s excellent article, where she outlines seven aspects of skills data quality, why they matter and their trade-offs: (1) Relevance (“Skills that are tracked should be the skills that need to be tracked—there’s no point in collecting skills data that won’t help you make better business decisions”). (2) Accuracy. (3) Validity. (4) Completeness. (5) Consistency (“Skills data should be consistently defined, recorded, and categorized across systems and within the organization”). (6) Timeliness. (7) Uniqueness. Thanks to Victoria Holdsworth for highlighting Sandra’s article.
EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING
CATHERINE COPPINGER - Introducing Two New Metrics: Fragmented & Interrupted Time
Catherine Coppinger from Worklytics introduces two new metrics: (1) Fragmented Time (“the sum of the total number of hours people have in blocks of time that are too short to get any deep work done”) and (2) Interrupted Time (“a metric designed to measure those periods of the day where people keep getting interrupted and just can’t find enough concentrated time to finish an important task”). Understanding these can help individuals and managers organise time more productively while enhancing employee wellbeing (see FIG 13). Read as a follow-up to another recent article by Catherine: 4 New Ways to Model Work, which featured in the July edition of Data Driven HR Monthly.
FIG 13: Source: Catherine Coppinger, Worklytics
MCKINSEY - What employees say matters most to motivate performance
Performance management is most effective when it features strong, consistent internal logic that employees understand
In their article, Asmus Komm, Brooke Weddle, Dana Maor, Katharina Wagner and Vivian Morrow Breaux present the findings of a McKinsey study of more than 1,000 employees across the globe on what matters most to motivating employee performance. The findings provide insights to employers to guide their approach with regards to performance management. These include: (1) Performance management frameworks should be consistent and clearly articulated. (2) Goal setting has impact when goals are measurable and clearly linked to company priorities (see FIG 14). (3) Performance reviews with skilled managers are crucial to employee performance. (4) Rewards that include nonfinancial incentives provide a boost.
FIG 14: Employees are motivated by measurable goals linked to company/team (Source: McKinsey)
LEADERSHIP, CULTURE, AND LEARNING
MEGAN REITZ AND AMY EDMONDSON - When a Team Member Speaks Up — and It Doesn’t Go Well
Speaking up — and being heard — in organizations is critical. What gets said, and what doesn’t, directs ethical behavior, innovation, inclusion, and performance.
In their article for Harvard Business Review, Megan Reitz and Amy Edmondson explore how 'conversational failures' often cause breakdowns in psychological safety rather than being used as opportunities to learn and develop. They discuss why they occur and the reasons why it is difficult to learn from these failures, before providing guidance on how these failures can become ‘intelligent’: (1) Prepare to learn from conversations. (2) Notice critical moments. (3) Implement process tools. (4) Attend to learning over the long term. For more on ‘intelligent failure’, tune in to Amy’s conversation with me on the Digital HR Leaders podcast: How Learning to Fail Can Help People and Organisations to Thrive.
If you’re not failing, you’re not journeying into new territory
JAMIE SMITH - How boards can champion a resilient talent strategy
Talent strategy is increasingly vital to driving overall strategy.
Based on a study of by EY and Corporate Board Member magazine of US public company directors across a range of industries, Jamie Carroll Smith presents analysis of the four opportunities identified in the research for boards to champion a resilient talent strategy: (1) Gain deeper insight into the employee experience. (2) Enable a workforce for the future (“Directors recognize that AI developments demand a reskilling of the workforce”). (3) Harness the value of diversity, equity and inclusion (“The future talent pool may depend on companies prioritizing DEI”). (4) Identify opportunities to strengthen talent governance. Thanks to Brian Heger for highlighting in an edition of his excellent Talent Edge newsletter.
FIG 15: The biggest impacts of AI on company workforce strategy (Source: EY)
JEN FISHER, SUE CANTRELL, JAY BHATT, AND PAUL SILVERGLATE - The important role of leaders in advancing human sustainability
More than eight out of 10 executives surveyed say a stronger commitment to prioritizing a positive human impact would increase their company’s ability to attract new talent (82%), appeal to customers and clients (81%), and profitability (81%).
Jen Fisher, Susan Cantrell, Jay Bhatt, and Paul Silverglate outline the key findings from Deloitte’s third annual Workplace Wellbeing report. The primary finding suggests that leaders can play a key role in prioritising and advancing a human sustainability agenda, particularly when it comes to measuring outcomes and holding their organizations accountable for progress. Insights identified in the study include: (1) The three trends impacting today’s workforce the most are skills, burnout and mental health. (2) The modern work experience doesn’t promote human sustainability but C-suite leaders aren’t seeing it. (3) While three out of four executives believe workforce wellbeing is excellent or good, workers are having a different experience (see FIG 16). The article then provides guidance on the metrics companies can implement to measure human sustainability including on skills development, purpose, DEI and societal impact.
FIG 16: Source – Deloitte Wellbeing at Work survey, 2024
DIVERSITY, EQUITY, INCLUSION, AND BELONGING
JANINE LEE - Breaking Down Barriers to Belonging for Women of Color in Tech
In her article in Harvard Business Review, Dr. Janine Lee, MBA, Ed.D. Global Head of L&D at Google, outlines the findings from her doctoral research on workplace belonging for women of colour in the tech industry. Janine highlights the top belonging contributors and detractors identified in the study (see FIG 17), and then offers three recommendations to boost workplace belonging: 1) Invest in programs that foster peer-based relationships, 2) Enable sponsorship and mentoring opportunities, and 3) Hold leaders accountable to “walk the talk.”
FIG 17: Sense-of belonging contributors and detractors (Source: Janine Lee)
HR TECH VOICES
Much of the innovation in the field continues to be driven by the vendor community, and I’ve picked out a few resources from August that I recommend readers delve into:
GURU SETHUPATHY – Understanding the EU AI Act in Four Handy Charts – Guru Sethupathy of FairNow provides an invaluable breakdown of the EU AI Act and its implications.
FIG 18: The four risk levels under the EU AI Act (Source: FairNow)
EMILY KILLHAM - How to Build a Better Boss: What Leaders (and Their Teams) Need Now to Thrive – Emily Killham delivers a new study by Perceptyx identifying five key behaviours for managers, the positive and negative impacts of manager behaviour on employees and organisations, and the role of employee feedback in help managers take corrective action.
FRANCISCO MARIN - The Role of Active and Passive Organizational Network Analysis in Cybersecurity – Francisco Marin of Cognitive Talent Solutions breaks down how active and passive ONA can support organisational cybersecurity initiatives including the detection of anomalous communications, enhancing incident response and tailoring security strategies.
LOUJAINA ABDELWAHED - How To Lose an Employee in 10 Days – Loujaina Abdelwahed, PhD presents analysis by Revelio Labs highlighting the negative impact of return to office on employee reviews and attrition.
FIG 19: Negative reviews of RTO correlate positively with attrition (Source: Revelio Labs)
ALICIA ROACH – Not all ‘Workforce Planning’ is the Same – If you are interested in workforce planning and don’t follow Alicia Roach of eQ8 on LinkedIn, you really should. In her recent post, Alicia reflects on her ‘triangle of workforce planning’ (see FIG 20), which skilfully illustrates the value of ‘strategic’ workforce planning.
FIG 20: Source – Alicia Roach
PODCASTS OF THE MONTH
In another month of high-quality podcasts, I’ve selected six gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below):
EMILY HACKER AND DAN WEISS - The Critical Role Data Plays in Skills Development - Emily Hacker, CPTD and Dan Weiss share insights from MetLife's skills journey with Stacia Sherman Garr and Dani Johnson of RedThread Research on the Workplace Stories podcast. The key learning from the conversation is that your skills data doesn't need to be perfect to benefit employees, improve talent acquisition, and enhance workforce planning.
JOSH BERSIN - The Future Of The Workforce Has Arrived, Can’t You See It? – Inspired by his recent trip to Europe, Josh Bersin explains why the traditional industrial work model has ended, gig work is now mainstream, reskilling should be given primacy, and why HR professionals need to reskill in AI to stay relevant.
BRYAN HANCOCK AND EMILY FIELD - Managing in the era of gen AI – In this episode of McKinsey Talks Talent, Bryan Hancock and Emily Field, two of the authors along with Bill Schaninger, Ph.D. of Power to the Middle: Why Managers Hold the Keys to the Future of Work, join host Lucia Rahilly to explain why middle managers matter, what leaders could do differently to make more of the managers on their teams, and how gen AI could change middle managers’ jobs—for the better.
ANSHUL SHEOPURI - How Mastercard is Training Employees for the AI Era – Anshul Sheopuri, EVP People Operations and Insights at Mastercard, joins Christopher Rainey on the HR Leaders podcast to shares insights on leveraging AI in HR and the importance of continuous learning.
JAMES GALLMAN - Bridging HR Technology, Analytics, AI Agents, LLMs, & Nudging at NetApp - James Gallman , VP HR PMO, Systems and Analytics at NetApp, joins hosts Cole Napper and Scott Hines, PhD on the Directionally Correct podcast to discuss the overlap between HR technology and people analytics.
LILY ZHENG - Ground Your DEI Efforts in Data – In an episode of Women at Work, DEI strategist and consultant Lily Zheng joins hosts Amy Bernstein and Amy Gallo to explain the role of data and analytics in DEI, and the importance of measuring outcomes to make lasting progress.
VIDEO OF THE MONTH
JULIET SCHOR - Smarter Work for a Better World?
Studies suggest that the Four Day Week may reduce burnout and depression, while also offering significant opportunities to reduce our collective carbon footprint.
One of my favourite sessions at this year’s Wharton People Analytics Conference saw Professors Juliet Schor and Iwan Barankay discuss what we know about the four-day work week and share their different perspectives on what this alternate structure might mean for organisations and their employees.
BOOKS OF THE MONTH
One of the benefits of being on holiday the past few weeks has been that it enabled me to catch up on some reading, hence there being two books of the month for August:
NICK VAN DAM – Boosting Your Well-being: The Best Version of Me - A wonderful book – and a wonderful cause with 100% of the book’s royalties being donated to the e-Learning for Kids Foundation. Written by Prof. dr. Nick van Dam, and 20 co-authors, this is a comprehensive book on professional wellbeing. It delves into the interconnected aspects of four key dimensions: body, mind, purpose, and environment, and offers a compelling approach to self- improvement. I particularly enjoyed the chapters on resilience and adaptability (written by Jacqui Brassey, PhD, MA, MAfN ?️ (née Schouten) ), sleep (Dr Els van der Helm) and contribution (Emily Ricci). An uplifting and potentially life-changing read.
KALIFA OLIVER – I Think I Love My Job: Secrets To Designing A People-Centered Employer Value Proposition - At times a powerful and relatable story of the ups and downs of corporate life, and at others a compelling narrative on how to approach work, harness data and build a world-class employee experience. Kalifa Oliver, Ph.D. combines both an academic and a practitioner mindset that empowers the reader to take charge of their career, challenge workplace norms, and use data to revolutionise the employee experience.
FROM MY DESK
August saw us reach a notable milestone on the Digital HR Leaders podcast – our 200th episode, and we celebrated in style with a special guest, Amy Edmondson, Thank you to Louis Gordon and the team at HiBob for sponsoring series 40 of the podcast.
AMY EDMONDSON - How Learning to Fail Can Help People and Organisations to Thrive – Harvard professor, pioneer of psychological safety and Thinkers50 #1, Amy Edmondson joined me for our 200th episode, where we discussed intelligent failure, and how failing well can drive individual and organisational success.
DAVID GREEN - What key elements do you believe are essential to building a strong company culture? - A round up of series 40 of the Digital HR Leaders podcast, with insights from John Winsor, Maureen N. Dunne, Ph.D., Nirit Peled-Muntz, Heidi Manna and Amy Edmondson.
DAVID GREEN - Five Key Elements For Building a Strong Company Culture? – A recent article for myHRfuture, where I break down five elements in building a strong company culture including aligning with organisational mission and using people data as your GPS.
LOOKING FOR A NEW ROLE IN PEOPLE ANALYTICS OR HR TECH?
I’d like to highlight once again the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which now numbers close to 500 roles – and has now been developed into a LinkedIn newsletter too.
THANK YOU
Wayne Tarken for kindly writing a post about me on LinkedIn: Curious About People Analytics? - What Leaders Can Learn from Thursday's Thought Leader.
Ester Martinez and her team at People Matters for including the Digital HR Leaders podcast in their list of 100 must-read resources for HR and talent leaders.
Rachel Collins for her post emphasising the need to move from employment to employability, inspired by the LinkedIn Live I hosted recently with Ravin Jesuthasan and Tanuj Kapilashrami.
Similarly, thanks to James Elliott for also posting here about the LinkedIn Live with Ravin and Tanuj.
David McLean , whose post on learning from your failures references the Digital HR Leaders podcast episode with Amy Edmondson.
Veronika Birkheim , whose post on Culture Diagnostics, references the Digital HR Leaders podcast episode with Heidi Manna.
Andrew Gadomski for his post on how he uses the Data Driven HR Monthly as a learning tool at the Cybersecurity and Infrastructure Security Agency.
Irada Sadykhova for her post on how to build a strong company culture, which was inspired by a recent series of the Digital HR Leaders podcast.
Ashley Utz for her post reflecting on the recent Digital HR Leaders podcast episode with Nirit Peled-Muntz.
HR Executive Leadership Exchange for including me in their list of the Top 10 HR Leaders You Should Follow.
Mirro.io for including me in their list of Top HR Leaders to Follow in 2024.
Daniyal Wali and The Talent Games for including me in their list of the Top 10 HR Tech Leaders to Follow in 2024.
Finally, a huge thank you to the following people who shared the July edition of Data Driven HR Monthly. It's much appreciated: Jaqueline Oliveira-Cella Andrés García Ayala Kristhy Bartels Sandy Zou Danielle Farrell, M.A. David Hodges Jeff Wellstead Gord Johnston MA, BHJ, BA, CHRP Debbie Harrison Dave Millner Sharna Wiblen Aizhan Tursunbayeva, PhD, GRP Catriona Lindsay Amardeep Singh, MBA Walter Maes Marcano Gert-Jan Tretmans Tim Peffers Kouros Behzad Adam Tombor (Wojciechowski) Lewis Garrad Sebastian Szachnowski Bob Pulver John Golden, Ph.D. Ben Wigert, Ph.D, MBA Ken Oehler Alexis Fink Katia Simões Francisca Solano Beneitez Abbas Qaidari Onno Bouman Aravind Warrier Kathleen Kruse Adedamola Adeleke ☁️ Elodie MENAGER Susan Knolla John Healy David Simmonds FCIPD Andrews Cobbinah, MLPI, ACIHRM Deviprasad Panda Vanesa C. David McLean Timo Tischer Prachi Agasti Maria Alice Jovinski Tristan Hack Adam McKinnon, PhD. Nicole Hazard Michael Arena Andras Vicsek Jane Kuhn Emily Pelosi, PhD Malgorzata Langlois Ahmed Salah ?? Swechha Mohapatra (IHRP-SP, SHRM-SCP, CIPD) Paul Daley Kyle Forrest Shivaani Talesra Ryan Wong Shujaat Ahmad Tessa Hilson-Greener Vivek Ojha Jacob Nielsen Søren Kold Tobias W. Goers ツ Terri Horton, EdD, MBA, MA, SHRM-CP, PHR Galo Lopez Noriega Marino Mugayar-Baldocchi Alexandra Nawrat Marian Stancik Hanadi El Sayyed Marcela Niemeyer Higor Gomes Kirsten Edwards Andreea Lungulescu Bradford Williams Faiza Tasneem(Associate CIPD) Alysson DuPont, SHRM-SCP, MBA Dr. Peter Schulz-Rittich Joaquin Hernandez Doug Shagam Mariami Lolashvili Caitie Jacobson Jaap Veldkamp Jaejin Lee Yvonne Bell (She/Her) John Gunawan Roberto Amatucci Philipp Heller Tina Peeters, PhD Gianni Giacomelli Lina Makneviciute Roshaunda Green, MBA, CDSP, Phenom Certified Recruiter Jacob Bradburn, Ph.D. Ying Li Phil Inskip Jack Liu Jonathan Berríos Leiva Stephen Hickey Lars Schmidt Geetanjali Gamel Dan George Anabel Fall Alejandra Barbarelli Adam Gibson Mia Norgren David van Lochem Nick Lynn Silja Kupiainen Heather Whiteman, Ph.D. Meghan M. Biro Martijn Wiertz Agnes Garaba Dolapo (Dolly) Oyenuga Laurent Reich Sebastian Kolberg Sebastián Mestre Chris Long Penny Newman Ralf Buechsenschuss Sebastian Knepper Marcela Mury Joseph Frank, PhD CCP GWCCM Dave Fineman Ron Ben Oz Danielle Bushen Kimberly Rose Daorong Lin Sukumaran Mariappan Abhilash Bodanapu Sonia Mooney Kerrian Soong Jay Polaki⚡️ SHRM-SCP/SPHR Remco van Es Ken Clar Matt Elk Aulia Raubien Natalie Wiseman Graham Irene Wong David Balls (FCIPD) Olivier Bougarel Ramesh Karpagavinayagam Oliver Kasper Andrew Kilshaw Nick Hudgell Gal Mozes, PhD Tatu Westling Brandon Merritt Johnson
UNLOCK THE POTENTIAL OF YOUR PEOPLE ANALYTICS FUNCTION THROUGH THE INSIGHT222 PEOPLE ANALYTICS PROGRAM
At Insight222, our mission is to make organisations better by putting people analytics at the centre of business and upskilling the HR profession The Insight222 People Analytics Program® is your gateway to a world of knowledge, networking, and growth. Developed exclusively for people analytics leaders and their teams, the program equips you with the frameworks, guidance, learnings, and connections you need to create greater impact.
As the landscape of people analytics becomes increasingly complex, with data, technology, and ethical considerations at the forefront, our program brings together over one hundred organisations to collectively address these shared challenges.
Insight222 Peer Meetings, like this event in London, are a core component of the Insight222 People Analytics Program®. They allow participants to learn, network and co-create solutions together with the purpose of ultimately growing the business value that people analytics can deliver to their organisations. If you would like to learn more, contact us today.
ABOUT THE AUTHOR
David Green ?? is a globally respected author, speaker, conference chair, and executive consultant on people analytics, data-driven HR and the future of work. As Managing Partner and Executive Director at Insight222, he has overall responsibility for the delivery of the Insight222 People Analytics Program, which supports the advancement of people analytics in over 90 global organisations. Prior to co-founding Insight222, David accumulated over 20 years experience in the human resources and people analytics fields, including as Global Director of People Analytics Solutions at IBM. As such, David has extensive experience in helping organisations increase value, impact and focus from the wise and ethical use of people analytics. David also hosts the Digital HR Leaders Podcast and is an instructor for Insight222's myHRfuture Academy. His book, co-authored with Jonathan Ferrar, Excellence in People Analytics: How to use Workforce Data to Create Business Value was published in the summer of 2021.
MEET ME AT THESE EVENTS
I'll be speaking about people analytics, the future of work, and data driven HR at a number of upcoming events in 2024:
September 11 - Productivity, Purpose, and Profit: How to thrive in ‘25 (London)
September 16-19 - Workday Rising (Las Vegas)
September 24-26 - Insight222 Global Executive Retreat (Colorado, US) - exclusively for member organisations of the Insight222 People Analytics Program
October 2-3 - People Analytics World (New York)
October 16-17 - UNLEASH World (Paris)
October 22-23 - Insight222 North American Peer Meeting (hosted by Workday in Pleasanton, CA) - exclusively for member organisations of the Insight222 People Analytics Program
November 12-14 - Workday Rising EMEA (London)
November 19-20 - Insight222 European Peer Meeting (hosted by Merck in Darmstadt, Germany) - exclusively for member organisations of the Insight222 People Analytics Program
More events will be added as they are confirmed.
HR
2024年09月03日
HR
2024年组织中人力资源部门的21个关键角色-来自AIHR
组织中人力资源部门的21个关键角色，分为“关键角色”、“合规角色”和“新兴角色”三个部分，如下所示：
关键角色
吸引候选人：开发和执行策略以吸引合适的候选人。
选择候选人：从众多申请者中挑选出最适合的候选人。
内部和外部招聘：内部晋升和外部招聘的管理。
绩效评估：对员工的工作表现进行评估。
薪酬：设计和实施薪酬策略。
员工福利管理：设计和管理员工福利计划。
学习与发展：确保员工技能与组织需求保持一致。
合规角色
晋升：晋升机制的设计与实施。
问题解决小组：创建和管理解决问题的小组。
全面质量管理（TQM）：实施全面质量管理以提高服务或产品质量。
信息共享：确保重要信息能够及时传达给所有员工。
组织发展：通过战略性的人力资源管理提升组织效能。
调查管理：管理各种员工调查，收集反馈以改进工作环境。
合规管理：确保公司遵守所有相关法律和规章制度。
商业合作伙伴：HR作为管理层的战略合作伙伴，提供人力资源解决方案。
新兴角色
数据与分析管理：使用数据分析来支持决策过程。
人力资源技术管理：管理和优化HR相关的技术和系统。
变更管理：领导和管理组织变更。
员工体验：设计和改进员工的整体工作体验。
多元化、公平、包容和归属感（DEIB）：推广和实施多元化和包容性策略。
公关：管理公司的公共形象和应对公关危机。
原文来自：https://www.aihr.com/blog/human-resources-roles/
Attracting candidates, Selecting candidates, Hiring from within and from outside, Performance appraisals, Compensation, Employee benefit management, Learning & development, Promotions, Problem-solving groups, Total quality management (TQM), Information sharing, Organizational development, Survey management, Compliance management, Business partnering, Data & analytics management, HR technology management, Change management, Employee experience, DEIB, PR
吸引候选人、选择候选人、内部和外部招聘、绩效评估、薪酬、员工福利管理、学习与发展、晋升、问题解决小组、全面质量管理 (TQM)、信息共享、组织发展、调查管理、合规管理、业务合作、数据与分析管理、人力资源技术管理、变革管理、员工体验、DEIB、公共关系
HR
2024年05月12日
HR
Valoir 报告显示 HR 尚未准备好迎接 AI，你呢？
研究显示，人力资源管理领导者面临的主要问题包括缺少 AI 相关的专业知识以及面临的风险和合规性问题。
弗吉尼亚州阿灵顿--Valoir 发布的一项全球新报告显示，尽管 AI 驱动的自动化似乎无法避免，但人力资源部门似乎并未做好准备。这项涵盖超过150位人力资源执行官的调查揭示了利用 AI 的巨大机会，但同时也显示出在制定政策、实施实践和进行培训方面普遍存在不足，以便安全有效地将 AI 技术应用于人力资源管理。
“虽然许多机构开始采用生成式 AI，但很少有组织建立必要的政策、准则和保障措施。作为员工数据的保护者和公司政策的制定者，人力资源领导者需要在 AI 的政策和培训方面走在前列，不仅为自己的团队，也为广大员工群体做好准备。”
以下内容需要特别注意： “AI 正在快速融入人力资源管理领域，特别是在招聘、人才发展和劳动力管理等方面。然而，引入 AI 也伴随着诸如数据泄露、误解、偏见和不当内容等风险，”Valoir 的首席执行官 Rebecca Wettemann 表示。“面对这些挑战并采取措施减少风险的人力资源部门，可以显著提升其从 AI 中获得的益处。”
人力资源的自动化与战略转型潜力
报告指出，有35%的人力资源部门员工的日常工作非常适合自动化处理。在所有人力资源管理活动中，招聘环节最有潜力应用 AI 技术，并且已成为采纳率最高的领域，近四分之一的组织已经开始利用 AI 支持的招聘流程。人才发展、劳动力管理以及培训和发展同样被视为 AI 自动化的关键领域。
生成式 AI 正在加速人力资源部门的生产力提升及风险增加
尽管到2023年中旬，超过三分之四的人力资源领域工作者已经尝试使用过某种形式的生成式 AI，但仅有16%的组织制定了关于使用生成式 AI 的具体政策。而且，真正关于其伦理使用的政策数量更是寥寥无几。人力资源领导者认为，缺乏 AI 相关技能和专业知识是采纳 AI 的最大障碍，但只有14%的组织制定了有效的 AI 使用培训政策。这些政策对于确保所有员工都能充分利用 AI 带来的好处并最小化风险是至关重要的。
“尽管生成式 AI 正被广泛采纳，但几乎没有哪些组织建立了必要的政策、准则和保护措施。作为员工数据的守护者和公司政策的制定者，人力资源领导者必须在 AI 政策和培训方面先行一步，这不仅是为了他们自己的团队，也是为了整个员工群体的利益，”Wettemann 表示。
报告的关键知识点：
Integration Challenges: HR faces challenges in managing AI use due to lack of policies, practices, and training.
Early Adoption vs. Preparedness: While HR has been an early adopter of AI, most organizations still lack the proper frameworks for safe and effective AI adoption.
Rapid Product Release: Post-Chat GPT announcement, HR software vendors have rapidly released generative AI products with varying capabilities.
AI’s Double-Edged Sword: AI offers great benefits but also poses risks of "accidents" due to immature technology, inadequate policies, and lack of training.
AI Experimentation and Automation Opportunity: Over three-quarters of HR workers have experimented with generative AI. 35% of HR tasks could potentially be automated by AI.
Current AI Utilization: The main opportunities for HR benefits from AI are in recruiting, learning and development, and talent management, with recruiting leading in AI adoption.
Adoption Barriers: Main hurdles include lack of AI expertise (28%), fear of compliance and risk (23%), and lack of resources (21%).
Policy and Training Deficiencies: Only 16% of organizations have policies on generative AI use, and less than 16% have training policies for AI usage.
Risk Areas in AI: Data compromises, AI hallucinations, bias and toxicity, and recommendation bias are identified as primary risks.
Future Plans for AI: Over 50% of organizations plan to apply AI in recruiting, talent management, and training within the next 24 months.
Least Likely AI Adoption: Benefits management has the lowest likelihood of current or future AI adoption due to data sensitivity concerns.
AI Skills and Expertise: The significant gap in AI skills and expertise impacts the adoption and effective use of AI in HR.
HR’s Role in AI Adoption: HR needs to develop policies, provide training, and ensure ethical AI use aligning with organizational principles.
Recommendations for HR: Suggestions include experimenting with generative AI, developing ethical AI usage policies, creating role-specific AI training, and identifying employee groups at risk from AI automation.
HR
2024年03月12日
HR
People Analytics:Introducing the Visier Path, a Proven Route to Business ImpactVisier Path是一种策略框架，旨在指导组织通过人员分析的旅程。它汇集了十多年的专业知识和数千个成功部署的精华，为HR和业务领导者提供了一个清晰、易于访问的“地图”。该框架将人员分析活动和HR实践与CHRO的战略优先事项对齐，提供了一个灵活、经过验证的途径，以实现显著的业务影响。通过先锋类比，它强调了从原始数据到可操作见解的演变，确保组织可以根据特定目标和策略定制他们的旅程。推荐阅读这篇文章：
The Visier Path is the framework we use to guide our cuhttps://www.visier.com/path/stomers to solve the people challenges they care about most. It’s a distillation of our deep people analytics expertise spanning thousands of successful deployments over a decade.
Here, VP of People Analytics, Ian Cook, explains what the Visier Path is, how it can help you, and why we’re sharing this “uniquely Visier” concept with the world.
Pioneering in people analytics
Traveling through the Rockies on North America's West Coast is a stunning journey. The land is vast and varied. Driving through high peaks and dense forests, one cannot help but ponder the fates and fortunes of the pioneers who first attempted to travel from east to west.
Their journey, likely slow and difficult, laid the foundation for current-day road journeys. We cruise effortlessly along a smooth, well-engineered, and clearly marked highway. Following the path created by others, we can be certain of a speedy trip to our destination.
People analytics was once a new concept that had to be pioneered. Back in the late 90’s, academic institutions started to pursue the work that we now call people analytics. They saw the promise of studying the “digital records” of employees to look for trends that could benefit the whole organization.
Flash forward to today: people analytics is now a well-established discipline, with commonly accepted approaches and a detailed understanding of how to build a successful practice.
Visier played a pioneering role in making this happen. We were the first purpose-built analytics platform for people data, and we’ve supported thousands of organizations as they founded and scaled their PA teams. As an organization, we’ve gathered a lot of knowledge about how to get from A to B in people analytics. Now, our goal is to smooth and speed the people analytics journey for you.
Introducing the Visier Path
When you choose Visier, you get access to a vast amount of knowledge not available anywhere else. The Visier Path distills the wisdom from over a decade of experience into one straightforward “map” that’s accessible to HR and business leaders alike.
Consider The Visier Path a guide that outlines exactly which people analytics activities and HR business practices are required to achieve a CHRO’s key strategic priorities.
Guiding you toward the right business impact
How, exactly, does the Visier Path help meet a CHRO’s objectives? It’s all about linking data and action.
Too often, people analytics is dressed up in confusing language and seen as either an esoteric internal research project or an IT project focused on wrangling data. We believe people analytics teams should model their work in the same way as FP&A teams support the CFO. That is to say: they must provide ongoing information about the performance and behavior of the workforce so that leaders can make the decisions that will have the right impact.
The Visier Path breaks down the steps needed for an organization to move from raw data to the right analysis, to tangible action that supports a business goal. The quality of that linkage—from data through to impact—is what separates the best people analytics teams from the rest.
Every organization’s journey is different
Every organization has different goals and strategies. That’s why we designed the Visier Path to be completely flexible depending on what’s important to you. While every company will start with the fundamentals (shown in yellow), the rest of your journey along the Path is completely bespoke.
The Visier Path, your proven route to people analytics success. Click to enlarge.
The Visier Path is arranged from left to right in order of increasing level of impact on the business. The Foundational Impact zone is about aligning on a single place where HR leaders, HRBPs, and managers can answer their people questions. The Drive HR Impact zone helps you target specific HR jobs to be done that are likely to be part of the CHRO’s agenda. Finally, the Drive Business Impact zone focuses on org-wide challenges that will directly affect the business’s financial performance.
The proven approach
The Visier Path is the proven, low-risk way to start your people analytics journey. It’s also the clear and effective way to evolve your practice as your capability increases and so does the demand for people analytics within your organization. The path takes the uncertainty out of buying, deploying, and scaling a people analytics solution, and ensures that your investment has measurable business impact.
We hope you find our guide valuable and accessible. If you would like to understand more about The Visier Path, the collective wisdom it embodies, the practices that it supports, or the impact it can have on your business, please don’t hesitate to reach out—we'd love to hear from you.
Experience and Insights in the Staffing Domain in Human ResourcesShaukhiHashim是The RuMa酒店公寓的董事，有十余年的酒店招聘经验。他提出了几个招聘中的要点，包括人才招聘与企业整体战略的符合，候选人对企业文化的理解，工作环境多样性与包容性，入职流程与留住员工，数据运用与数据分析。对人力资源招聘有很大的参考作用。
For decades, the field of human resources （HR） has evolved to meet the ever-changing needs of businesses and organizations. One of the important functions of the human resources department is staffing. This involves identifying, attracting, selecting, and retaining employees to achieve organizational goals. Over the years, staffing has become increasingly complex, requiring HR professionals to develop insight and experience to effectively meet talent acquisition and management challenges.
As a seasoned HR professional with over a decade of experience in staffing in hospitality, I have faced various challenges and gained important insights that have shaped my understanding of the complexities of HR management.
One of the most important insights I have gained in the staffing domain is the importance of aligning talent acquisition with the organization`s overall business strategy. To be successful, HR professionals must have a deep understanding of the organization's goals and the specific skills and competencies needed to achieve those goals. This requires close collaboration with key stakeholders, including senior leadership, department heads, and hiring managers. By understanding the organization's strategic priorities, HR can ensure that the staffing efforts are aligned with the broader business goals, ultimately delivering a more impactful and purposeful workforce. Unlike other industries, hotels have different departments, each with unique roles and responsibilities. From housekeeping to reception to catering, each department requires different skills and qualifications. As HR professionals, it is important to have a clear understanding of these requirements to effectively recruit the right candidates and place them in the right positions.
In addition to strategic alignment and effective communication, I have learned the value of understanding and driving the organization's culture throughout the hiring process. Culture fit is a critical factor in the long-term success of new hires, and HR professionals must be able to identify and assess candidates who will thrive within the organization's unique work environment. This requires a strong understanding of the organization's values, rules, and expectations, as well as the role of accurately assessing a candidate's cultural alignment throughout the hiring process. This involvement enables tighter demand forecasting and staffing performance, which ultimately leads to greater staff satisfaction and better guest service.
Another important insight I have gained in the staffing domain is the significance of diversity and inclusion in the hiring process. In today's globalized world, organizations must recognize the value of a diverse workforce and its benefits. Diversity in terms of gender, race, ethnicity, age, and background can drive innovation, creativity, and adaptability in the workplace. As an HR professional, it is crucial to ensure that the staffing efforts are inclusive and promote equal opportunities for all candidates. This involves implementing fair and unbiased selection processes, addressing unconscious bias, and actively seeking out diverse talent pools.
Once the right candidates are selected, the onboarding process plays a crucial role in their retention and success within the organization. Providing new employees with a comprehensive orientation program that familiarizes them with the company's culture, policies, and expectations sets them up for success from day one. Ongoing support and development opportunities should also be provided to ensure continuous growth and engagement.
Throughout my experience in the staffing domain, I have also realized the importance of data and analytics in HR management. Tracking and analyzing key metrics, such as time-to-fill, cost-per-hire, and retention rates, can provide valuable insights into the effectiveness of the staffing process. By leveraging data, HR professionals can identify areas for improvement, optimize recruitment strategies, and make data-driven decisions to enhance overall staffing performance.
The staffing domain in HR management is a complex and evolving field that requires HR professionals to have insight and experience to effectively attract, select, and retain talent. Aligning staffing efforts with the organization's business strategy, recognizing the importance of culture fit and diversity, implementing efficient recruitment and selection processes, providing comprehensive onboarding, and leveraging data and analytics are key aspects to consider navigating the challenges and ensure successful staffing outcomes.
SOURCE ManageHR
HR
2024年01月22日
HR
Employers, Employees Disconnected over AI-related Job DisplacementsLooking at the fast-growing AI age, generative AI is having a great impact on job security. Most employees have expressed their 'psychologically unsafe' at work, while most employers are unconcerned about this. In fact, in order to generate values more efficiently, leaders are supposed to be open to generative AI and upskill their employees.
'Misaligned perceptions' among leaders, employees erode trust, report says.
Employers and employees are not seeing eye to eye when it comes to the impact of generative AI in the workplace, hindering trust and preventing organisations from unlocking the potential of the technology at work.
This is according to a new report from Accenture after collecting data from over 7,000 C-suite leaders and 5,000 employees of large organisations across 19 countries.
According to the report,58%of employees are worried about generative AI's impact on job security.
This comes amid recent research from the International Monetary Fund saying the rapid rise of AI will expose nearly 40% of jobs worldwide, while another report from Goldman Sachs said it will put at risk 300 million jobs.
C-suite not concerned about AI
But members of the C-suite don't appear too concerned about this outcome, as the report found that less than one-third of them feel job displacement is a concern for people.
It also found a disconnect between employees and the C-suite when it comes to how gen AI will affect well-being.
For 60% of employees, they believe it will increase stress and burnout, while only 37% of leaders see this as an issue.
These disconnected views contribute to the lack of trust from employees, who don't believe their organisations will ensure positive outcomes when utilising generative AI, according to the report.
"Misaligned perceptions between leaders and workers also erode trust," the report said. "This lack of trust puts the trifecta of opportunities at risk."
'Trifecta of opportunities'
The report outlined three opportunities that organisations can maximise when it comes to gen AI and they are:
Accelerating economic value
Increasing productivity that drives business
Fostering more creative and meaningful work of people
But the lack of trust from their employees are preventing these organisations from leveraging these opportunities, despite 95% of them saying they see the value in working with AI, according to the report.
Role of leaders in gen AI integration
It also comes as two-thirds of employees said they don't have the technology and change leadership expertise to drive the reinvention need to take advantage of AI, according to the report.
"There's a way, however, for leaders to close the trust gap and accelerate gen AI integration: Look at and emulate how leading organisations are leveraging gen AI in ways that are better for business and better for people," the report said.
Only nine per cent of organisations in the survey were classified as "reinventors," who have achieved the capability for continuous reinvention and have maximised the potential of AI.
More than half of these reinventors are already redesigning jobs and roles around AI as steps to reshape the workforce, according to the report.
"Key to all of this: three-quarters are actively involving their people in their enterprise change efforts, while reskilling people," the report said.
These organisations are being transparent to employees throughout the process to establish and foster trust, according to the report.
Ellyn Shook, chief leadership and human resources officer, Accenture, underscored the role of leaders in the transition to gen AI.
"Success starts with leaders who are willing to learn and lead in new ways, to scale gen AI responsibly, to create value and ensure work improves for everyone," Shook said in a statement.
"It starts with asking a simple question: are people 'net better off' working here? This not only unlocks people's potential and drives bottom-line growth, but also paves the way for workers feeling comfortable, trusting and ready to work with gen AI. What we've learned from the past as leaders is that what happens next is up to us. The best outcomes are ours to shape."
SOURCE HRD
HR
2024年01月22日
HR
AI in Hiring: How to Weigh the Tech’s Benefits Against its RisksKaren Boyle, senior vice president of human resources at the Graham Company, asks: Do the pros outweigh the cons when using AI in the hiring process? (Karen Boyle, SHRM - SCP, is senior vice president, human resources at the Graham Company.)
The demand for a strong workforce along with the competitive hiring landscape has put increased pressure on human resource executives. The average corporate position receives approximately 250 applications per job opening, according to Zippia.
HR professionals are tasked with narrowing down the pool of applicants, conducting an extensive interview process, and hiring talent that fits the culture and needs of their respective companies.
Artificial intelligence has been introduced as a way to improve efficiencies throughout that process, and many say they’ve already implemented the tech. Sixty-five percent of recruiters say they’re currently using AI in the recruitment process and 96% of senior HR professionals say they expect AI to greatly enhance the talent acquisition process, Zippia also reported. Those numbers speak for themselves.
As a HR executive, I have witnessed the benefits of what AI can do but I’m also cautious about the potential risks.
AI’s benefits
HR pros stand to gain benefits from AI in a number of ways, namely in interview prep, candidate vetting and overall time savings.
In terms of preparation, AI tools can be used to help HR craft appropriate questions for interview teams to ensure every interview is thoughtful. Interviewing doesn’t come naturally to everyone, so this step is critical in making sure employees are properly prepared and positioned for success. Among other things, AI can assist with strategic questions that go beyond typical prompts like,“tell me about yourself,” which are generic and often leave interviewees unsure where to begin. For example, at my company, we look for candidates who display traits of grit, tenacity and resilience. For us, being able to ask specific questions that demonstrate those traits is key. With adequate preparation throughout the hiring process, companies are more likely to secure the right talent. It’s also a two-way street: Interviewees want to know those they are being interviewed by are just as prepared as they are.
AI is similarly capable of streamlining the vetting process. When companies are hiring for multiple positions at one time, HR departments have limited bandwidth to properly review and vet candidates. By tapping into AI, the process is expedited and becomes more efficient for HR professionals. For instance, if a job listing requires certain industry expertise or a specific certification, AI can quickly identify the appropriate resumes that meet those requirements. This can help HR executives go from 250 applications to, let’s say,100. That makes the job exponentially faster and easier, as you have already weeded out those who would not qualify.
One common theme among those benefits? Time savings. Most hiring managers and recruiters who have used AI say it saves time in the talent acquisition process. Knowing how important time is, AI can certainly serve as a resource to let HR leaders execute their jobs more efficiently. This is especially important as HR executives spend several hours a day reviewing applications, vetting candidates and preparing interviewers for conversations. With AI, HR pros may have more time to focus on other important elements of the job.
AI’s risks
Despite AI’s ability to streamline hiring processes and ease HR’s workload, companies must also account for the risks. Just like with any technology, there are some concerns that cannot be ignored.
When considered for use in the hiring process, AI inherently loses some of the nuance that comes from the human element. The tech often functions based on algorithms and because of this, there exists the potential for entire groups of candidates to be disregarded. In a situation like this, an algorithm-based outcome could stunt the growth and promotion of a company’s diversity, equity and inclusion efforts. Additionally, some companies are using AI to conduct actual interviews, which fully eliminates the human approach to hiring, inhibiting the discovery of certain attributes in applicants like work ethic, dedication and drive.
An organization also must weigh the significant security risks that AI can pose. When using this technology, hiring managers working with personal data must be aware that some tools use any data entered to train the system. This can increase the risk for breaches in privacy. We’ve already seen troubling headlines of the security flaws of various AI tools. In fact, a major multinational appliance and consumer electronics company announced earlier this year that it would be banning employees from using AI tools after sensitive company information was leaked.
Finally, HR professionals need to be mindful of how AI can be used by potential candidates to manipulate resumes and skill sets to better position themselves for listed job qualifications. For example, a candidate can use AI to determine the best key words or phrases to use when applying for a specific position. Trying to combat this issue adds a challenging layer to the already complex and time-consuming hiring process. This further underscores how crucial the human element is to the hiring process, allowing HR leaders to identify inconsistencies between what is on a resume and what it said in an interview.
So, the question remains: Do the pros outweigh the cons when using AI in the hiring process? That is for each company to determine. For me, it’s about striking a balance and using the technology to serve as a complementary element.
SOURCE HRDIVE
HR
2024年01月18日
HR
How to Build Your HR Technology Stack for 2024In the AI age, you should use HR technology to ensure seamless integration and compatibility with your overall HR strategy for 2024. These are what Beqom is aiming for.
Jan.17,2024 As organizations navigate the complexities of the evolving workforce in 2024, the strategic use of technology in Human Resources (HR) has become critical. This blog explores the crucial role of HR systems to deliver on corporate objectives, automate and streamline processes, improve the employee user experience, and reduce the administrative burden on HR.
We also take a look at essential criteria for HR when evaluating technology solutions and delve into the nuanced landscape of trying to rely on HR suites versus a best-of-breed approach.
What is an HR tech stack?
The term "HR tech stack" refers to the comprehensive suite of tools and software applications that HR professionals use to manage various aspects of human resources. Just as a chef carefully selects and organizes different ingredients and methods to create a masterpiece, HR leaders curate and integrate diverse solutions to optimize HR processes, enhance employee engagement, and contribute strategically to business success.
An HR tech stack typically includes a combination of software for recruitment, onboarding, performance management, learning and development, employee engagement, compensation management, and more. These tools work synergistically to streamline HR workflows, drive efficiency, and enable data-driven decision-making. The selection of tools depends on the unique needs and objectives of the organization, reflecting its high-level philosophy for HR technology adoption.
The evolution of HR tech stack in modern businesses
The journey of HR tech stacks has undergone a significant evolution in tandem with the changing of the modern workplace. In the early stages, HR systems primarily focused on automating administrative tasks and maintaining employee records. However, as organizations recognized the strategic importance of HR in achieving business objectives, the HR tech stack evolved into a dynamic ecosystem designed to address complex challenges and leverage opportunities.
Key phases in the evolution have included:
Automation of administrative tasks
Early 2000s: The initial phase saw the adoption of HR information systems (HRIS) to automate routine administrative tasks, such as payroll processing and time tracking. Basic Applicant Tracking Systems (ATS) emerged to simplify recruitment processes.
Introduction of integrated suites
Mid-2000s to early 2010s: Integrated HR suites gained prominence, offering a unified platform for various HR functions. These suites aimed to streamline processes and enhance data consistency by providing a centralized platform for HR activities.
Focus on employee experience and engagement
Late 2010s: With the increasing emphasis on the employee experience, HR tech stacks expanded to include tools for talent management (recruiting, onboarding, learning, etc.), compensation and benefits, performance management, and employee engagement. Mobile applications and self-service portals became integral to fostering a positive workplace culture.
Rise of specialized best-of-breed solutions
Present day: The current phase witnesses a shift towards specialized best-of-breed software. Businesses are recognizing the value of choosing tools that excel in specific HR functions, providing depth and flexibility in their HR tech stacks, while delivering an improved employee experience.
Significance of the evolution
The evolution of HR tech stacks mirrors the broader transformation in HR's role—from a predominantly administrative function to a strategic partner driving company success. Modern HR tech stacks are not just about automation; they represent a strategic investment in technologies that empower HR professionals to make informed decisions, enhance employee engagement, and contribute meaningfully to achieving business objectives.
Crafting a high-level philosophy for HR technology
As organizations embark on the journey of leveraging technology in their Human Resources (HR) functions in 2024, it's helpful first to establish a high-level philosophy to guide your choices. As with most business decisions, it’s best to start with the "why" and articulate the overarching goals HR seeks to achieve for the company.
Aim for strategic alignment
Why do it? Your high-level systems philosophy must align seamlessly with the organization's overall strategic objectives. HR digital solutions should not be implemented in isolation but as a strategic enabler, contributing to the achievement of broader business goals like diversity, profit margin, market share, and so on.
How to do it. HR leaders should collaboratively engage with organizational leadership to understand key business objectives and challenges. The technology philosophy should then be crafted to align with and support these goals.
Enhance the employee experience
Why do it? A key focus of HR technology should be on enhancing the overall employee experience. By delivering value to employees, providing user-friendly interfaces, fostering collaboration, and enabling self-service capabilities, HR can create an environment where employees thrive.
How to do it. Conducting regular employee feedback surveys, analyzing pain points in HR processes, and understanding employee needs will inform the technology approach. The goal is to implement solutions that make work more meaningful and enjoyable for employees.
Drive efficiency and agility
Why do it? HR technology should be a catalyst for operational efficiency and agility. By automating repetitive tasks, streamlining workflows, and providing real-time insights, HR contributes to the organization's ability to adapt swiftly to changing market dynamics.
How to do it. Assessing current HR processes, identifying bottlenecks, and evaluating the capability and adaptability of existing systems will guide the decision-making process. The aim is to implement an HR platform that not only addresses current needs but also scales as the organization evolves.
Enable data-driven decision-making
Why do it? A high-level philosophy should emphasize the importance of leveraging data for informed decision-making. HR technology should provide the tools and analytics necessary to transform raw data into actionable insights, empowering HR professionals to make strategic decisions.
How to do it. Assessing the company's data maturity, identifying critical HR metrics, and understanding the capabilities of offerings in the market to support strategic decision-making at all levels will guide the choice of technology that aligns with this philosophy.
Cultivate a culture of continuous improvement
Why do it? The philosophy behind HR technology should embrace a culture of continuous improvement. Solutions should not be static but evolve to meet changing organizational needs, staying abreast of industry trends and workplace regulations, and driving innovation.
How to do it. Regularly evaluating the effectiveness of existing technology, staying informed about emerging HR tech trends, and fostering a culture of innovation within the HR team contribute to a philosophy that embraces ongoing improvement.
In essence, the high-level philosophy behind the HR tech stack should be a strategic roadmap, guiding the business towards success. It is the articulation of what HR aims to achieve and why technology is a critical enabler in achieving those objectives. Crafting this philosophy involves aligning with corporate goals, prioritizing employees, driving efficiency and agility, leveraging data, and fostering a culture of continuous improvement. As companies embark on the transformative journey of HR technology adoption, a well-defined and thoughtfully considered high-level philosophy will serve as the North Star, ensuring that technology becomes a powerful ally in achieving organizational excellence.
The growing importance of technology in HR
As Josh Bersin has framed it, we are now entering a post industrial economy. The industrial revolution over the last 150 years has created massive amounts of automation and productivity-enhancing advancements. The result is that employees no longer are just replaceable commodities, needed for menial tasks. They are more skilled and specialized than ever before, and that trend is only going to continue with the blossoming of artificial intelligence. Now, says Bersin, “every company is in the people business.” HR is more important than ever, and the HR tech stack plays a key role in shaping today’s high performing organization in many ways, including:
Efficiency and productivity
In the fast-paced business environment of 2024, efficiency is key. Technology enables HR professionals to automate repetitive tasks and streamline complex processes. Whether in recruiting (resume screening, scheduling interviews, managing employee records), compensation (salary planning, merit increases, pay equity) or performance management (goal-setting, collecting feedback, performance reviews)—to name a few examples—the use of technology not only saves time but also allows HR teams to focus on strategic initiatives that contribute to the overall productivity of the organization.
Data-driven decision-making
Technology provides HR with tools to collect, analyze, and interpret data, and to make predictions. This data-driven approach enables HR professionals to make informed decisions regarding talent acquisition, employee engagement, compensation strategy, and workforce planning. Harnessing the power of workforce analytics can lead to more effective strategies and better outcomes for the business.
Remote work and collaboration
With the rise of remote work, HR technology facilitates seamless collaboration between dispersed teams. Virtual onboarding processes, digital communication tools, feedback platforms, self-service tools, and remotely administered systems are among the essential components that enable HR to adapt to the changing dynamics of the modern workplace.
Impact of technology on different areas of HR
Virtually every aspect of HR can be improved and accelerated through the use of digital solutions. It is up to HR leaders to determine what areas can have the most impact on the organization’s success and prioritize accordingly.
Recruitment and talent acquisition
Technology streamlines the recruitment process by leveraging artificial intelligence (AI) for resume screening and predictive analytics for identifying top talent. Applicant Tracking Systems (ATS) automate the hiring pipeline, reducing time-to-fill and ensuring a more efficient recruitment process.
Learning and development
HR software facilitates personalized learning experiences through e-learning platforms and Learning Management Systems (LMS). This not only enhances employee skills but also ensures that training programs align with organizational goals and industry trends.
Compensation management and pay equity
Technology can play a pivotal role in transforming compensation management, which is a critical core function. These solutions empower HR professionals to create transparent pay structures, conduct market analysis, design flexible compensation strategies, support data-driven pay decisions at all levels, and administer rewards efficiently. Advanced pay equity tools can ensure ongoing fair pay and legal compliance.
Collaboration and coaching
Integrated collaboration platforms facilitate seamless communication among dispersed teams, enhancing the employee experience and contributing to increased productivity. Support for manager coaching takes collaboration one step further and aids in employee-manager alignment.
Goal-setting and tracking
Software provides automation for setting and tracking individual and team goals, speeding up the cascading of high level goals throughout the organization, fostering real-time evaluation and progress tracking, and promoting a more dynamic performance management process.
Continuous feedback and recognition
Automated feedback and recognition tools contribute to a positive workplace culture by ensuring timely acknowledgment of employee achievements, fostering a sense of appreciation and motivation, as well as supporting continuous improvement.
360-degree feedback
Performance management tools enable the automation of 360-degree feedback processes, providing a holistic view of employee performance from various perspectives within the enterprise.
Performance appraisal and calibration
Automation in performance appraisal processes, including calibration features, ensures consistency and fairness in evaluating employee performance across the organization, and saves enormous amounts of time.
Impact on the business, employees, and HR staff
HR technology has something to benefit everyone in the organization.
Business impact
Implementing HR technology positively affects the bottom line. Improved efficiency, better talent management, and data-driven decision-making contribute to overall business success. The adaptability of HR tech to changing market demands ensures that businesses stay competitive and agile, and attract and retain needed talent.
Employee experience
From recruitment to retirement, HR technology enhances the employee experience. Self-service portals, mobile applications, and digital communication tools empower employees, providing them with the tools they need to thrive in the workplace. This, in turn, contributes to a positive workplace culture, motivation, productivity, and loyalty.
HR department and staff
HR professionals benefit from technology by automating administrative tasks, allowing them to focus on strategic HR functions. Access to real-time data also equips HR staff with the insights needed to make informed decisions. This shift from transactional to strategic roles enhances the value HR brings to the organization.
Risks of not embracing technology in HR
Conversely, failure to keep up with the advances in HR technology can put your company at a competitive disadvantage. Organizations that fail to embrace HR digital solutions risk falling behind competitors who leverage these tools for strategic advantage. The ability to attract and retain top talent often hinges on the adoption of modern HR practices and technology. Employees want to work for a company with efficient processes, and increasingly, for companies that practice transparency and workplace equity.
Manual processes are prone to errors and inefficiencies, both of which are costly. Without the aid of technology, HR departments may struggle with accuracy in record-keeping, compliance issues, and inefficient workflows, hindering the overall effectiveness of HR operations.
Building a tech stack for HR
So how to best approach technology adoption for HR?
Assess organizational needs. Before implementing an HR solution, HR executives should conduct a thorough assessment of the organization's needs. Understanding specific pain points, goals, and desired outcomes is essential for choosing the right solutions. What are the company’s objectives and what would be needed to accomplish them?
Identify critical areas. These are areas where you can gain the most strategic benefit, and where you therefore do not want to compromise on functionality. What is mission critical, what is core to realizing your strategy and achieving your goals? In other words, what is most worthy of investment?
Consider integration and scalability. A well-rounded tech stack should be easily integrable with existing systems and scalable to accommodate future growth. Seamless integration ensures data consistency and avoids silos, while scalability future-proofs the technology against evolving organizational needs.
Criteria for evaluating HR technology solutions
Here are some key areas to consider when evaluating technology solutions.
Functional coverage
First and foremost, technology solutions should be able to do what you need done. You should not have to compromise on your strategy to conform to system limitations. If a solution cannot really handle your needs, scan the market to see if there is an alternative that is a better fit for your needs.
Integration capabilities
Seamless integration with existing systems is crucial for data consistency and efficient workflows. HR professionals should prioritize technology solutions that support interoperability.
Scalability and global compatibility
Large organizations must choose solutions that are scalable to accommodate their size and adaptable to meet global complexities and diverse compliance requirements. Global compatibility supports consistency in HR practices across different regions.
User experience and accessibility
A user-friendly interface and accessibility across devices are critical considerations. HR technology should be intuitive for users globally, promoting widespread adoption and engagement. And remember that part of the user experience is delivering real value to the end users.
Data security and compliance
Given the sensitivity of HR data, security features and compliance with data protection regulations should be paramount. Robust security measures safeguard against data breaches and ensure confidentiality.
Vendor expertise and support
Every solution has people behind it who create, implement, update, and support it. Even the most intuitive systems need support to keep the technology improving and advancing, look for expertise and a commitment to innovation.
Comparing HR suites and best-of-breed solutions
It is often tempting to try to rely on your core HR suite to handle most or all of your HR software needs. However, the benefit of a single source supplier is limited compared to the possible benefits of a best-of-breed approach.
Limitations of HR suites
Some of the common problems encountered when trying to stretch an HR suite to cover every need include:
Lack of specialization. Comprehensive HR suites often provide a generalist approach, attempting to cover a broad spectrum of HR functions. While this may be suitable for some organizations, it can result in a lack of depth for specialized functions like compensation management and performance management.
Slower innovation. The sheer size and complexity of comprehensive suites can sometimes lead to slower adaptation to emerging technologies and industry trends. The bureaucratic processes involved may hinder the swift integration of innovative solutions that could benefit the organization.
Complex implementation. Implementing extensive HR suites can be intricate and resource-intensive, requiring substantial time and effort. The complexity of these systems may lead to challenges in user adoption and ongoing maintenance.
Advantages of a best-of-breed HR tech approach
What is driving companies to seek best-of-breed solutions within their HR tech stack? Some reasons include:
Specialization. Best-of-breed solutions excel in specific HR functions, providing advanced features and customization options tailored to the organization's unique needs. This specialization ensures that each component of the HR tech stack is functionally rich and optimized for maximum efficiency.
Faster innovation. Specialized providers often innovate more rapidly, adapting to industry trends and technological advancements with agility. This proactive approach allows organizations to stay at the forefront of HR technology, driving continuous improvement.
Flexibility and integration. Best-of-breed solutions offer flexibility and can be seamlessly integrated with other systems. This allows organizations to build a tailored tech stack that aligns precisely with their requirements, avoiding the constraints of a one-size-fits-all solution.
A best-of-breed HR technology success story
One large multinational bank was facing an increasingly complex and competitive landscape including new non-traditional players, increasing regulation, artificial intelligence, and automation. These challenges made it crucial for them to attract, retain, and leverage their human capital to its fullest potential.
They wanted to give employees and line managers a uniform and engaging experience, and establish a culture of continuous improvement, and so were seeking best of breed solutions for key HR processes to complement their core SAP HCM solution.
beqom enabled crowdsourced real-time continuous feedback, regular check-ins, and agile goal setting, supporting managers in providing timely and helpful coaching. With pulse surveys, structured 360 feedback and insightful analytics, the solution measures the entire employee experience at every touchpoint.
With beqom they can align personalized rewards with real-time performance data, as well as with feedback, skills, behavior, and goals, to provide meaningful and effective rewards. The bank was able to consolidate all compensation processes, including salary and promotion increases, short and long-term incentives, and cash awards, across more than 30 countries.
And, their compensation budget can be continuously monitored as performance ratings are submitted and their cost impact calculated. All in all, it’s a real success story that shows the power of HR technology to transform an organization.
Moving forward with your HR technology stack
In today’s dynamic workplace, technology solutions will play a pivotal role in empowering HR professionals to deliver value for the organization. To find out how best-of-breed solutions can transform your HR processes and help you build a high-performing organization, take a positive first step and contact us at beqom.
SOURCE Beqom
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