The best HR & People Analytics articles of March 20252025年3月的《Data Driven HR Monthly》由人力分析专家David Green主编，汇集了全球最新的HR与人力分析领域的重要洞察。文章聚焦于“技能驱动型组织”、“CHRO领导力崛起”与“生成式AI在HR中的落地应用”等核心主题。Insight222最新研究指出，若CHRO和高管团队以身作则地使用数据，HR人员在日常工作中应用人力分析的可能性将提高三倍。Mercer报告显示，高技能效能企业中有73%建立了系统的技能目录。此外，Deloitte《2025全球人力资本趋势》强调，应在“组织文化”“员工个人成长”“企业社会价值”三者之间平衡张力。McKinsey指出，25%的企业通过应用生成式AI，HR成本下降超过10%。Josh Bersin研究则揭示，13%的CHRO已跻身企业前五高薪高管，展现出其日益增强的战略地位。本期还涵盖了关于员工体验设计、DEI策略调整、混合办公模式下的设计思维、HR技术成熟度评估、员工聆听模型等多项实务建议，是HR从业者和决策者必读的专业内容合集。
I was reflecting this weekend that I have now been in the people analytics field for over a decade. Much has changed during that time, but three constants have been the Wharton People Analytics Conference, People Analytics World and UNLEASH. All have acted as a source of inspiration to me and an unmissable opportunity to connect with others in our field. As such, I am looking forward to attending and speaking at all three events in the coming weeks.
First, I’m excited to be speaking for the first time at the Wharton People Analytics Conference in Philadelphia on April 10 and 11 on Unlocking the Power of Data: The Case for Analytics Democratization. Other speakers include: Amy Edmondson, Ravin Jesuthasan, Ben Waber, Jennifer Kurkoski, Guru Sethupathy, Siri Chilazi, and Michael Fraccaro.
Next up, I’ll be co-chair and opening keynote speaker at People Analytics World in London on April 29 and 30, where I’ll be sharing some of the research and work we do at Insight222. Other speakers include: Dawn Klinghoffer, Alexis Saussinan, and Cole Nussbaumer.
The week after, I’ll be heading back to the US for Unleash America, which takes place in Las Vegas, and where I’ll be moderating the Unleash Talent Summit on May 6, and the AI Track on May 7 and 8. Other speakers include; Adam Holton, Anshul Sheopuri, Sue Lam, Avani Prabhakar, Christy Pambianchi, and Amy Coleman.
I hope to see some of you in Philadelphia, London and/or Las Vegas.
This edition of the Data Driven HR Monthly is sponsored by our friends at Mercer
Putting skills to work: Benchmarking skills-powered success
The scale of skills gaps poses an existential threat to businesses’ ability to get work done. The velocity and volatility of change associated with these gaps stems from compounding trends across geopolitics, climate, demographics and the AI revolution. How can organizations keep pace when supply fails to meet shifting demand?
Accelerating agility is one answer. By connecting the dots between skills and the specific tasks that are changing, employers can unlock new ways to connect people to work (beyond moving them from one job to another). A skills taxonomy lays the groundwork: Mercer’s 2024-2025 Skills Snapshot Survey Report shows that 73% of companies with high skills effectiveness have a skills catalog.
While technology makes skills mapping easier, the overall journey can feel overwhelming. HR capacity concerns often stop teams from taking the first step to becoming skills-powered. To put skills to work in a manageable way, think big but start small with a pilot program. This may be for a specific talent process like internal mobility or talent acquisition in the context of a fast-changing business area.
Find more strategic skills insights in Mercer’s 2024-2025 Skills Snapshot Survey report, including:
Building the path to a skills-powered organization
Mapping skills to employees
Linking skills with rewards
Overcoming obstacles
Get the Snapshot
Enterprises who realize the full potential of Skills-Powered Organization practices use skills to revolutionize how they work, modernize talent deployment, and rethink development and rewards. Their journeys are underpinned by a shared vision and a strong data foundation.
To sponsor an edition of the Data Driven HR Monthly, and share your brand with more than 140,000 Data Driven HR Monthly subscribers, send an email to dgreen@zandel.org.
MARCH ROAD REPORT
March turned into a month of highs and lows. Focusing on the former, the first week of March witnessed the most successful and well-attended Peer Meeting yet for member companies of the Insight222 People Analytics Program®, hosted by NBC Universal at their iconic global headquarters at the Rockefeller Center in New York. A huge thank you to Jamie Nevshehir and Jennifer Mandelson for hosting as well as our speakers at the event: Dawn Klinghoffer, Lynette Carlson, Olga Dobromyrova, Geetanjali Gamel, Anshul Sheopuri and Jeremy Shapiro. March also saw me deliver two conference keynotes in my home city of London. First up, I had the privilege of delivering the closing keynote at HiBob’s Heartcore HR event in London (see here) – thanks to Emily Hanssen Arent for inviting me and Toby Hough for hosting. The following week, I had the pleasure of delivering another closing keynote – this time at the Workhuman Forum Live – on how data-driven storytelling can elevate HR’s impact and role in shaping the future (see here) – thanks to Maya Lane and Kathryn Santora for inviting me.
Join me for an Insight222 webinar on April 2 on building data literacy in HR at scale.
In our research at Insight222, we have found that when both the CHRO and the HR leadership team role-model the use of people data and analytics, HR practitioners are three times more likely to use those insights in their day-to-day work. That’s the kind of cultural shift that unlocks business impact, strategic alignment, and organisational capability. If you’re interested in learning more about why data literacy is central to the success of both the HR function and the wider business—please join Naomi Verghese along with Shannon Rutledge, Director of People Analytics & Data Solutions at T. Rowe Price, and me on 2 April 2025 at 4:00 PM BST for our upcoming webinar, “Upskilling the HR Profession – Building Data Literacy at Scale”.
Share the love!
Enjoy reading the collection of resources for March 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 February’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
HELEN POITEVIN - AI in HR: Hits, Misses and Growing Pains
Skills-based talent management cannot scale or be sustainable long-term without AI-enabled skills management.
Writing for Gartner, Helen Poitevin presents a AI use-case prism for human capital management (see FIG 1) before providing detailed insights on AI in HR across three key areas: recruiting, virtual assistants and skills in terms of what’s working and what isn’t as well as areas requiring more focus (growing pains) and what to expect next. For example, with AI-enabled skills management, AI is helping organisations to scale and personalise but is still struggling to incorporate unstructured skills data. Helen recommends starting with the teams that are most ready for using skills data alongside creating a long-term skills vision and ambition. She also highlights that growth in the use of AI based skills management tools is set to rise: “Gartner predicts that by 2028, 40% of large organizations will have invested in two or more AI-enabled skills management solutions with the aim of delivering business agility.” Thanks to Brian Heger for highlighting in his excellent Talent Edge Weekly newsletter.
FIG 1: AI use-case prism for human capital management (Source: Gartner)
McKINSEY - The state of AI: How organizations are rewiring to capture value
The latest McKinsey Global Survey on AI finds that the use of AI (both generative and analytical) is increasing with three-quarters of organisations using AI in at least one business function. From a people and HR perspective there are a number of takeaways from the report including these five: (1) Just over 20% of companies have created a comprehensive approach to foster trust among employees in the use of GenAI. (2) 31% of large and 17% of small organisations have established capability-based training courses designed to help employees use GenAI appropriately. (3) AI is shifting the skills organisations need with roles on risk and ethics on the rise and those in data-visualisation reducing. (4) There is an increased focus on reskilling with companies expecting this to further increase in the next three years (see FIG 2). (5) Across industries 13% of companies report they are using GenAI regularly in HR with the media and telecom sector highest at 22%. (6) 25% of companies report cost reductions in HR of more than 10% in the second half of 2025. Kudos to the authors: Alex Singla, Alexander Sukharevsky, Lareina Yee, and Michael Chui, with Bryce Hall.
FIG 2: Employee reskilling due to AI use (Source: McKinsey)
DELOITTE - 2025 Global Human Capital Trends: Navigating complex tensions and choices in the worker-organization relationship
Organizations that successfully increase the capacity of workers to grow personally, use their imagination, and think deeply are: 1.8 times more likely to report better financial results, 1.4 times more likely to say they are creating broad value for customers, community, and society, and 1.6 times more likely to say they provide workers with meaningful work.
Deloitte’s annual Global Human Capital Trends report is always insightful, thought-provoking and forward-looking, and the 2025 edition does not disappoint. The introduction sets the scene and highlights the need for organisations and leaders to find a balance between competing tensions (see FIG 3). The report has eight chapters organised around three themes of work, workforce, and organisation and culture, and what it means to navigate the tensions in them. As ever, the report is packed full of insights, visualisations and data – I particularly found the analysis on AI’s potential silent impacts interesting (see FIG 4). Kudos to the authors who include: Susan Cantrell, David Mallon, Kevin Moss, Nicole Scoble-Williams GAICD, and Yves Van Durme.
FIG 3: Navigating the tensions (Source: Deloitte)
FIG 4: AI’s potential silent impacts (Source: Deloitte)
PEOPLE ANALYTICS
NAOMI VERGHESE - The Importance of Data Literacy Skills for HR Professionals
By embracing people data and analytics, HR can move beyond traditional administrative functions and become a key driver of business success.
Insight222’s most recent People Analytics Trends survey confirms that scaling data literacy is a strategic priority for CHROs, with 85% of companies confirming that the CHRO has emphasised people data and analytics as an essential component of the HR strategy. However, only 58% of companies report that they have a data-driven culture for people data and analytics today, and only 51% of companies report that HR Practitioners are actively developing their data literacy skills to become more data driven. In her article, Naomi Verghese provides examples of data literacy in practice (see FIG 5), and highlights five skills for HR professionals to develop data literacy (including being able to tell stories with data)
FIG 5: Examples of data literacy in HR in practice (Source: Naomi Verghese, Insight222)
MARTHA CURIONI - Analytical AI vs Gen AI – What’s the Difference? | PRABHAKAR PANDEY - Understanding the European Union's Pay Transparency Directive | ALEXIS FINK - The Power of Responding instead of Reacting | RICHARD ROSENOW - An (updated) interview with an unusual People Analytics Expert - ChatGPT 4.5 | SCOTT REIDA - Evaluating Talent Hubs: A Data-Driven Approach using GenAI w/Tableau
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) Martha Curioni provides a helpful primer on the differences between analytical AI and generative AI in a HR setting (see FIG 6). (2) Prabhakar Pandey provides a detailed examination on the background, objectives, key provisions, and potential impacts of the EU’s Pay Transparency Directive on employers, employees, and the broader European economy. (3) Alexis Fink provides a timely guide on the power of responding instead of reacting. (4) Richard Rosenow fires a series of questions related to people analytics at ChatGPT 4.5, and gets a pretty good set of answers. (5) Scott Reida walks through a structured, GenAI-powered methodology for evaluating talent hubs using ChatGPT, which explains how to define clear objectives, select job families and locations, weight decision factors, and visualise results for smarter, faster insights. Thanks to Hung Lee and Toby Culshaw for highlighting Scott’s article.
FIG 6: The differences between analytical and generative AI (Source: Martha Curioni)
THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE
DAVE ULRICH - Six Actions for HR to Create More Stakeholder Value
How can HR create more value for all stakeholders? That’s the question posed by Dave Ulrich at the start of his article. As he explains, answering this pivotal question enables HR leaders to make informed choices about where to prioritise their work and then intentionally share what they are doing and its business impact. In the article, Dave outlines HR’s key stakeholders and the outcomes they require, a human capability framework that integrates 38 initiatives into four pathways, how to focus on outcomes as opposed to activities, and how we can get more precise when it comes to prioritising our work.
FIG 7: Six actions, questions, next steps to create stakeholder value from human capability
KATE BRAVERY, JOANA SILVA, AND JENS PETERSON | MERCER - Workforce 2.0: Unlocking human potential in a machine-augmented world - Global Talent Trends 2024-25
The world of work is in full metamorphosis, forever changed by the seismic shifts of recent years and accelerated by the imminent human-machine teaming revolution. The rise of generative AI has been met with equal measures of unease and excitement, changing not only how people work but the work experience itself…Unlocking the potential of this new world of work means keeping people at the heart of the transformation agenda.
These are an abridged version of the opening words from the Mercer Global Talent Trends report for 2024-25, which has recently been published. As ever, the study, which is based on a survey of 14,400 executives, HR leaders, employees, and investors, and is authored by Kate Bravery Joana Silva and Jens Peterson – with contributions from the likes of Jason Averbook, Ilya Bonic, Lewis Garrad, Ravin Jesuthasan, CFA, FRSA, Jean Martin and JESS VON BANK is an absolute must-read. As in previous years, the study highlights a disconnect between what HR is prioritising for the 2025 people agenda and the initiatives that executives believe will have the most impact on business growth (see FIG 8). The analysis also highlights that improving people managers’ skills (up from 9th in 2024 to 1st in 2025) and designing talent processes around skills (up from 8th to 3rd) are high on HR’s agenda. The study identifies and breaks down four priorities that firms that outpace their competitors are focusing on: (1) Driving human-centric productivity. (2) Anchoring to trust and equity. (3) Boosting the corporate immune system (including highlighting the importance of insights and analytics – see FIG 9). (4) Cultivating a digital-first culture. My tip to enjoy the study: find a couple of hours, make yourself a cup of tea and have a pen and paper to hand.
FIG 8: HR priorities for the 2025 people agenda (Source: Mercer Global Talent Trends 2024-25)
FIG 9: What gets measured gets managed (Source: Mercer Global Talent Trends 2024-25)
JOSH BERSIN AND KATHI ENDERES - Secrets Of The High Performing CHRO
The CHRO role is critical for business success, with CHROs serving as C-suite leaders first, and HR function leaders second.
In his article previewing his new paper with Kathi Enderes, Understanding the Path to CHRO, Josh Bersin cites a recent study by Nick Bloom and Mert Akan (see here), which finds that 13% of CHROs are among the top five highest-paid executives in their organisations, a sharp rise from just 0.5% thirty years ago. The paper outlines the role of the CHRO, career trajectories, education, experiences, and high-level success drivers, along with the implications for leaders. Findings include: (1) More than 75% of CHRO appointments come from the outside, indicating a lack of CEO confidence in HR and/or a lack of succession planning for this job. (2) There are four major archetypes of CHRO (see FIG 10): Career CHRO (who change companies regularly), Company CHRO (who grow up inside the company), Business CHRO (who are rotated into the job from non-HR roles), and Operations CHRO (who come from legal, finance, or operations background). (3) Business CHROs drive the greatest change and impact.
FIG 10: Four paths to the CHRO (Source: The Josh Bersin Company)
WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS
MCKINSEY - The critical role of strategic workforce planning in the age of AI
S&P 500 companies that excel at maximizing their return on talent generate an astonishing 300 percent more revenue per employee compared with the median firm
In many cases, these top performing firms are using strategic workforce planning to stay ahead of their competitors in the talent race, treating talent with the same rigour as managing their financial capital. In their article, Neel Gandhi, Sandra Durth, Vincent Bérubé, Charlotte Seiler, Kritvi Kedia and Randy Lim, highlight how the emergence of generative AI is making strategic workforce planning even more important (see FIG 11), and discuss five best practices for building a holistic talent plan through SWP: (1) Prioritise talent investments as much as financial investments. (2) Consider both capacity and capabilities. (3) Plan for multiple business scenarios. (4) Take an innovative approach to filling talent gaps – by refocusing from hiring to reskilling and upskilling. (5) Embed SWP into business as usual:
Strategic workforce planning should become a business-as-usual process, not just a one-off exercise in the face of a single threat to an organization’s talent pipeline or business goals.
FIG 11: The impact of GenAI on tasks that previously had low potential for automation (Source: McKinsey)
JOSH TARR - Key Skills-Based Strategies for Building a More Agile and Resilient Workforce | WORKDAY – The Global State of Skills
Skills-based strategies are transforming the workplace into a more dynamic, adaptable, and equitable environment.
Josh Tarr shares key findings from Workday’s recently published The Global State of Skills report, which finds that 51% of business leaders are concerned about a looming talent shortage, with only 32% in agreement that their organisation possesses the skills needed for future success. The article examines three key skills-based strategies: (1) Skill Identification: Building an Accurate Picture of Workforce Capabilities. (2) Skills-Based Hiring: Focusing on What People Can Do, not Their Credentials. (3) Upskilling and Reskilling: Elevating the Workforce. Thanks to Sophie Barnes for highlighting.
FIG 12: Top drivers and anticipated outcomes for becoming a skills-based organisation (Source: Workday)
EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING
PATRICK COOLEN AND SANDER DE BRUIJN - 7 Golden Rules For Improving Employee Experience
Effective EX solutions are built on an iterative and evidence-based approach while co-creating with employees.
In their article, Patrick Coolen and Sander de Bruijn of KennedyFitch share their experience and insights on how to do continuous employee listening and improve employee experience. They share seven ‘Golden Rules’ for improving employee experience including: (1) Applying the ‘Triple Diamond Model’ (see FIG 13) in order to capture, understand and act on your employees' needs and ambitions. (2) Ensuring strategic positioning (“EX is a strategic capability, so the responsible team should be positioned in HR accordingly”). (3) Aiming for hyper-personalisation (“By understanding employee differences, organisations can tailor experiences to be more personalised and meaningful”). Read the article to learn about the other golden rules as well as letting Patrick and Sander know what rules eight, nine and ten should be.
FIG 13: The ‘Triple Diamond Model’ to drive employee experience (Source: Patrick Coolen and Sander De Brujin)
DANIEL WENTZEL, ALICE MINET, STEFAN RAFF-HEINEN, AND JANINA GARBAS - How Remote Work Changes Design Thinking
A key advantage of the design-thinking process over other innovation methods is its emphasis on the user experience.
Design thinking and user centred design are critical tools in building an exceptional employee experience – and HR practitioners can learn much from how these tools are applied to customer experience. In their article for MIT Sloan Management Review, Daniel Wentzel, Alice Minet, Dr. Stefan Raff-Heinen, and Dr. Janina Garbas share advice for leaders on structuring the design-thinking process to exploit the best features of both physical and virtual environments for more effective ideation, customer experience research, and other design-thinking steps. As outlined in FIG 14, effectively combining physical and virtual formats throughout the design-thinking process allows innovation leaders to harness the distinct advantages of each setting.
FIG 14: How to set up hybrid design thinking processes (Source: Wentzel et al)
LEADERSHIP, CULTURE, AND LEARNING
STUART L. HART - How to Embed Purpose at Every Level
In his article, drawn from his book, Beyond Shareholder Primacy: Remaking Capitalism for a Sustainable Future, Stuart L. Hart presents a practical framework and approach for truly embedding societal purpose, drawing upon the experience of several innovative companies. This framework imagines the company as a house of transformational sustainability – see FIG 15 – where the shared values are the foundation, the roof is the company purpose, the middle floor is the core elements of strategy. The article examines of the elements of the corporate architecture in more depth, along with examples from the 15 companies Hart and his team studied as part of their work: (1) What We Believe: Values (“The transformational companies we examined established a strong foundation built on their organizations’ values”). (2) Why We Exist: Purpose. (3) What We Solve: Aspirations and Quests: (“Together, aspirations and quests serve as the fulcrum for change in leading-edge companies, translating purpose and intention into strategy and operating reality”). (4) How We Win: Strategies and Initiatives. (5) What We Track and How We Accelerate: Goals and Metrics, Rewards and Incentives.
FIG 15: The House of Transformational Sustainability (Source: Stuart L. Hart)
DIVERSITY, EQUITY, INCLUSION AND BELONGING
DANIEL ZHAO – DEI Data Points on Glassdoor | JOELLE EMERSON – Analysis on EEOC Assessment of Unlawful DEI Initiatives | MEG A. WARREN – Amid DEI Rollbacks, Champion Allyship | JEREMIE BRECHEISEN, TERESA ALMEIDA AND NIKITA - When Does a Regional Approach to DEI Make Sense for Multinational Companies? | BRANDON DENON - In the US, DEI is under attack. But under a different name, it might live on
With the continuing uncertainty around Diversity, Equity and Inclusion, as with the February edition of Data Driven HR Monthly, I wanted to share some of the resources I’ve consumed on this topic with readers: (1) Daniel Zhao shares a number of DEI related data points from Glassdoor, which perhaps not surprisingly has seen that conservations on DEI have surged on Glassdoor’s community platform (see FIG 16). (2) DEI expert Joelle Emerson provides an initial assessment of the EEOC’s recent guidance on unlawful DEI initiatives. (3) Meg Warren, Ph.D. presents research that finds that abandoning DEI initiatives can harm both performance and workplace culture – with inclusive workplaces being better for workers and our businesses. (4) Jeremie K Brecheisen, Teresa Almeida, and Nikita present findings from a study by Gallup and the London School of Economics that found that 77% of companies had centralised DEI operations, but that the companies with decentralised regional operations reported greater business impact. (5) Finally, in a BBC InDepth article, Brandon Drenon writes on how companies in the US are adopting different stances to Trump’s Executive Orders.
FIG 16: The rise of DEI conversations on Glassdoor (Source: Glassdoor)
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 March that I recommend readers delve into:
EMILY KILLHAM | PERCEPTYX - The State of Employee Listening 2025 – Perceptyx's annual analysis of employee listening, authored by Emily Killham, is always a compulsory read. The 2025 edition continues the high standard with highlights including (1) How the top barriers to listening and action have changed in the last 12 months. (2) The critical risks associated with increasing burnout of HR leaders. (3) An update to Perceptyx’s 4-stage maturity model that describes the progression of an employee listening and action program from its most fundamental to its most robust.
FIG 17: Employee listening maturity model (Source: Perceptyx)
PHILIP ARKCOLL - The AI Maturity Curve: Measuring AI Adoption in your Organization – Philip Arkcoll, CEO at Worklytics , sets out a compelling framework for measuring the impact of AI on your organisation – the AI Maturity Curve (see FIG 18), which is comprised of three stages: Adoption (focused on uptake), Proficiency (focused on impact), and Leverage (focused on productivity gains).
FIG 18: Measuring the impact of AI on your organisation (Source: Worklytics)
DIRK JONKER AND RALF BOVERS - How common are people analytics teams? – In a recent edition of Crunchr’s newsletter, The HR Crunch, Dirk Jonker and Ralf Bovers provide some illuminating insights into the size and location of companies that have people analytics teams (see FIG 19) with the US and larger companies leading the way.
FIG 19: Companies with people analytics teams (Source: Crunchr)
ERNEST NG - AI Holds the Potential to Lead Organizations Into an Era of Abundance – Workday’s Ernest Ng, PhD discusses how AI agents will impact how we think about the organisation and challenge common HR orthodoxies. His article outlines how we can reimagine the organisation with a ‘beginners mind’ if we were not bound by the limitations of time and human attention, why AI is potentially transformational, and where to go from here.
FRANCISCO MARIN - Measuring the Impact of Organizational Network Analysis (ONA): From Insights to Tangible ROI - Francisco Marin and the Cognitive Talent Solutions team share a helpful primer on how to measure the ROI of organisational network analysis (ONA), which includes a table (see FIG 20) with example use cases and ROI estimates.
FIG 20: ONA Use Cases & Hard Savings Estimations (Source: Cognitive Talent Solutions)
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):
DR. HOLLY LAM - Bridging the Chasm Between People Analytics & the Business – Holly Lam, PhD joins hosts Cole Napper and Scott Hines, PhD on the Directionally Correct podcast to discuss what it’s like to be decision maker in the business and move back to people analytics.
BRENDA KOWSKE - Strategic Workforce Planning in the Age of AI – In an episode of Workplace Stories, hosts Stacia Sherman Garr and Dani Johnson speak with Brenda Kowske about how her people analytics and workforce planning team is breaking down traditional HR silos, integrating workforce planning into business decisions, and staying ahead of the curve with AI and skills-based planning at Boston Scientific.
ARNE-CHRISTIAN VAN DER TANG – CHRO Insights – Arne-Christian Van Der Tang, CHRO at TomTom, joins Kathi Enderes on the What Works podcast to explain why the CHRO is no longer an HR leader, but now a business transformation executive.
IAN WILSON - How Amazon Builds High-Performing Teams – Ian Wilson, VP HR at Amazon, speaks to Christopher Rainey on the HR Leaders podcast about how Amazon builds high-performing teams, the role of psychological safety, and HR’s role in driving business impact.
BRYAN HANCOCK AND BROOKE WEDDLE - How to get return to office right - In this episode of McKinsey Talks Talent, Bryan Hancock and Brooke Weddle speak with host Lucia Rahilly about their recent research on the opportunities and challenges of RTO—and how leaders can drive productivity, collaboration, and innovation successfully.
VIDEO OF THE MONTH
AMIT MOHINDRA AND HEATHER WHITEMAN – People Analytics Career Skills Live!
Two giants of people analytics – Amit Mohindra and Heather Whiteman, Ph.D., who both featured on the recent list of Top 20 People Analytics Influencers join forces as Amit shares his career journey, the key skills for success in people analytics, and a wealth of invaluable advice. The webinar includes a demonstration of how to leverage basic descriptive analytics to perform predictive analytics.
BOOK OF THE MONTH
KWEILIN ELLINGRUD, LAREINA YEE, AND MARÍA DEL MAR MARTÍNEZ – The Broken Rung: When the Career Ladder Breaks for Women and How They Can Succeed in Spite of It
For every 100 men who are promoted to manager, only 81 women get promoted. This causes women to fall behind men early on – far below the ‘glass ceiling’. This is what Kweilin Ellingrud, Lareina Yee, and Maria del Mar Martinez have coined “the broken rung”. Their book is based on a decade of research, their own experiences as the first three chief diversity and inclusion officers for McKinsey, interviews with 50 leaders, and is a guide to help women accelerate their career growth. For a preview of the book, I recommend reading a recent article by the authors: How Women Can Win in the Workplace.
RESEARCH REPORT OF THE MONTH
FABRIZIO DELL’ACQUA ET AL - The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise
Our results suggest that AI adoption at scale in knowledge work reshapes not only performance but also how expertise and social connectivity manifest within teams, compelling organizations to rethink the very structure of collaborative work.
This new paper summarises the findings from a study of how AI transforms the core pillars of collaboration – namely performance, expertise sharing, and social engagement – through a field experiment with 776 workers at Procter & Gamble. The findings include: (1) AI significantly enhances performance, (2) AL breaks down functional silos. (3) AI’s language-based interface prompted more positive self-reported emotional responses among participants (see FIG 21). The paper is a collaboration between Fabrizio Dell'Acqua, Charles Ayoubi and Karim Lakhani from the Digital Data Design Institute at Harvard along with Hila Lifshitz, Raffaella Sadun, Ethan Mollick, and Lilach M., and Yi Han, Jeff Goldman, Hari Nair, and Stewart Taub from Procter & Gamble. You can also read Ethan Mollick’s article on the research: The Cybernetic Teammate.
FIG 21: Working with AI leads to better emotional experiences (Source: Ethan Mollick)
BONUS RESOURCES
Some bonus resources to consume this month feature articles from five of my favourite newsletters:
Lars Schmidt ’s personal and compelling Confessions of a Reluctant Thought Leader explains why he has shifted back from being an influencer to an operator. Much of this really resonates.
In AI’s battle of the skills: upskilling vs deskilling, Laetitia Vitaud asks and then answers the question: “Does generative AI mostly amplify the skills of experienced workers, or does it level the playing field by enabling less experienced, less qualified workers to perform at higher levels?”
Andrew Spence’s Workforce Futurist is consistently one of the most insightful newsletters out there – his latest: Seven Ways Technology is Making Us More Human, Not Less is a must-read.
Serena H. Huang, Ph.D.’s From Data to Action has close to 10,000 subscribers, and it’s easy to see why as the latest edition: The Future of Work is Wellbeing—And It’s Broken Without Inclusion, tackles an important and timely topic in her typically insightful and personal style.
Not many understand the world of HR Tech better than Thomas Otter as his excellent Work in Progress substack consistently testifies. In Explaining M&A through the lens of Income Statement v Balance Sheet analyses two very different recent acquisitions: ServiceNow and Moveworks. and Deel and the global payroll business of Safeguard.
As an additional bonus, I also want to highlight the inaugural edition of Phil Kirschner’s The Workline, which features an exclusive interview with Annie Dean of Atlassian on their “Cost Per Visit” metric. See: Exclusive Case Study: Atlassian Humanized the Office with One New Metric.
FROM MY DESK
March saw the final four episodes of series 45 the Digital HR Leaders podcast, sponsored by our friends at Amazing Workplace, Inc.
KATHERINE MACNAUGHTON - How Manulife Improved Employee Experience Through Transforming Its Organisational Culture - In this episode I talk to Katherine Macnaughton, CHRL, Vice President of Global Talent Management and Development at Manulife, about how Manulife is embedding purpose into every stage of the employee journey.
SHON HOLYFIELD - Why Measuring Happiness Matters Just as Much as Engagement - Shon Holyfield, Founder and CEO of Amazing Workplace, Inc., joins me to explore how focusing on employee happiness can transform business outcomes.
LUCY ADAMS - How HR Can Lead Successful Digital Transformation Initiatives – Lucy Adams, CEO of Disruptive HR and former CHRO at the BBC and Eversheds, joins me to discuss how HR can lead digital transformation and enable business leaders to be change champions.
ANNA TAVIS - How to Drive Workforce Experience and Learning with Digital Coaching - Anna A. Tavis, PhD, Chair of the Human Capital Management Department at New York University and co-author (with Dr. Woody Woodward, PhD, PCC) of The Digital Coaching Revolution, joins me to explore how organisations can move from traditional coaching methods to scalable AI-powered solutions.
LOOKING FOR A NEW ROLE IN PEOPLE ANALYTICS OR HR TECH?
I’d like to highlight once again the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which – as Richard’s latest newsletter reveals - now numbers over 525 roles. Look out too for Richard's latest newsletter analysing the current job market.
THANK YOU
The Economic Times for including Excellence in People Analytics in their Top 20 books HR professionals should consider reading in 2025
Joachim Rotzinger for featuring me in the inaugural issue of his #OrgPeople series, which highlights individuals who are shaping the way we think about organisations and analytics: you can read Joachim’s post here.
Chrishtica Sivakumar for including me in her list of 11 HR Professionals to follow and learn from.
Similarly, K Nair for including me in his 25 Must-Follow LinkedIn Accounts for HR in 2025.
Congratulations to Sukumaran Mariappan on 25 years of growth and gratitude – and thanks for including me as one of 20 people you highlight for having helped you on your journey.
Marc Voi Chiuli. (MSc. HRM. Assoc CIPD. MIHRM.) for referencing Excellence in People Analytics in his recent article: HR Analytics Is Here! Are HR Practitioners Ready to Adopt this New Trend and Take Their Businesses to the Next Level?
I always enjoy reading posts from listeners of the Digital HR Leaders podcast summarising their key takeaways and learnings from individual episodes. Two great examples (the first from the recent episode with Lucy Adams on HR’s role in transformation and the second with Anna Tavis on digital coaching come from Shrez Ghelani (here) and Olimpiusz Papiez (here).
Finally, a huge thank you to the following people who either shared the February edition of Data Driven HR Monthly and/or posted about the Digital HR Leaders podcast, conferences or other content. It's much appreciated: Sam Streak, Anja Leschly, Thomas Kohler, Raja Sengupta, Brandon Merritt Johnson, Galo Lopez Noriega, Mike Madelin FCIPD, Megan Reif, Johann Cheminelle, Gerard Kiely, Charlotte Copeman, Clodagh Scannell, Matthew Phelan, Catriona Lindsay, Aurélie Crégut, Keji Fakeye, MS, CSM, Jose Luis Chavez Vasquez, Kouros Behzad, Jarret O., Callum MacRae, Dan George, Francesca Gabetti, Susana Pires, Felipe Jara, Laurent Reich, Bob Pulver, Megan Sherman, Ph.D., Diego Miranda ??, Amardeep Singh, MBA, Viktoriia Kriukova (Вікторія Крюкова), Krista V., David Simmonds FCIPD, Danielle Farrell, MA, CSM, Ian OKeefe, Sanja Licina, Ph.D., Deborah M. Weiss, Dean Carter, Dan Riley, Sibusiso Mkhize, Nitish Kumar, Aravind Warrier, Sarajit Poddar, Preetha Ghatak Mukharjee, Lewis Garrad, Greg Pryor , Kris Saling, Nick Lynn, Shirley Mariole, MPNGHRI, Richard Bretzger, Till Alexander Leopold, Kyle Forrest, Erik Samdahl, Ralf Buechsenschuss, David Boyle, Ben Berry, Amanda Nolen, Andrew Pitts, Swechha Mohapatra (IHRP-SP, SHRM-SCP, CIPD), Linpei Zhang, Moïra Taillefer, Sonia Mooney, Kathleen Kruse, Timo Tischer, Volodymyr Shevchenko Rebecca Ray, Anyuta Dhir, Tobias W. Goers ツ, John Guy, Kristin Saboe, Ph.D., Caitie Jacobson Mikulis, Hesham Ahmed, Daisy Grewal, Ph.D., Brian Elliott, Paola Alfaro Alpízar, Mila Pascual-Nodusso, John Golden, Ph.D., Heather Muir, Dan Lapporte, Tina Peeters, PhD, Frankie Close, Tonille Miller, Narelle Burke, Ying Li, Raquel Mitie Harano, Saumya Singh, Joseph Frank, PhD CCP GWCCM, John Perrian, Jill Larsen, Kelly Cartwright, Paul Boyle, Paulo Henrique Bolgar, Federico Bechini, Phil Inskip, Tammy Arnaud, Anushree Kabra Tatu Westling, Brad Hubbard, Marie-Hélène Gélinas, MBA (Cand.), Aimee Shirreffs, Delia Majarín, Jo Thackray FCIPD, Gishan Nissanka, Ali Nawab, Pedro Pereira, Natasha Ouslis, PhD, David Balls (FCIPD), Nikita D'Souza, Tanya Jain, Angela LE MATHON, Graham Tollit, Mino Thomas, Dave Millner, Ingi Finnsson ?, Maria Ursu, Craig Starbuck, PhD, Stela Lupushor, Dave Fineman, Monika Manova, Hanne Hoberg, Jacob Nielsen, James McKay, Morgan Baldwin, Mattijs Mol, Sebastian Knepper, Maria Alice Jovinski, Mariami Lolashvili, Shuang Yueh Pui, PhD, Ken Clar, Andrés García Ayala, Dr Philip Gibbs, Elizabeth Esarove, Higor Gomes, Olivier Bougarel, Ron Ben Oz, Louis Gordon, Jeff Wellstead, Agnes Garaba, Erik Otteson, Stephen Hickey
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 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.
MEET ME AT THESE EVENTS
I'll be speaking about people analytics, the future of work, and data driven HR at a number of upcoming events in early 2025:
April 10-11 - Wharton People Analytics Conference, Philadelphia
April 16 - Delegation Rewired: What HR Can Stop Doing, Thanks To Agentic AI, Webinar organised by People Matters
April 29-30 - People Analytics World, London
May 6-8 - UNLEASH America, Las Vegas
June 4-6 - TALREOS (Talent Analytics Leadership Roundtable Economic Mobility Summit), Chicago
June 10-11 - Insight222 Q2 North American Peer Meeting, Toronto, (hosted by Royal Bank of Canada, and exclusive to the people analytics leader in member companies of the Insight222 People Analytics Program®)
June 25-26 - Insight222 Q2 European Peer Meeting, London, (hosted by BT, and exclusive to the people analytics leader in member companies of the Insight222 People Analytics Program®)
July 31 - August 1 - People Matters TechHR India 2025, Delhi
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
More events will be added as they are confirmed.
skills taxonomy
2025年04月14日
skills taxonomy
David Green: The best HR & People Analytics articles of February 20252025年2月的 Data Driven HR Monthly 深入探讨了影响未来HR战略的关键趋势，涵盖了混合办公、AI驱动的技能管理、组织设计以及人力资源分析的最新发展。
麦肯锡提出了一种全新的HR运营模式，强调**“人力资源战略家、数据科学家和技术专家”** 的三位一体架构，以增强HR的战略影响力。同时，世界经济论坛（WEF）发布了**《全球技能分类法工具包》**，推动企业采用通用的技能语言，以提升人才管理能力。
另一个重要议题是任务智能（Task Intelligence），TechWolf的研究表明，企业应关注员工实际执行的任务，而不仅仅是他们具备的技能。这种方法有助于精准规划人才需求、优化招聘和培训，并挖掘自动化机会，以提升企业效能。
此外，混合办公和多样性、公平性、包容性（DEI）等议题正日益被政治化。美国最新数据表明，2025年1月仍有29%的工作日为远程办公，但企业对重返办公室（RTO）的讨论持续升温。随着AI的发展，HR部门如何平衡企业需求与员工期望，将成为未来几年最重要的挑战之一。
本期还关注了HR科技市场的发展，例如Gartner对2025年首席人力官（CHRO）的三大战略优先事项，以及AI在HR转型中的应用案例。对于希望在人力资源管理中充分利用数据和科技的HR领导者来说，本期内容不容错过！
February is supposed to be the shortest month but the 2025 version felt conspicuously long. We may be living in a post-truth world but it is an irrefutable fact that it was Ukraine that was invaded just over three years ago by 150,000 Russian troops. The Ukrainian people - and Volodymyr Zelenskyy - need to be supported not disparaged.
Compiling this month’s edition of the Data Driven HR Monthly proved to be a welcome distraction from geopolitics, even if two hitherto work topics that are increasingly being politicised - hybrid work and diversity, equity and inclusion - feature prominently. Other selections include a fresh take on the HR operating model from McKinsey, which is founded upon a strategic triumvirate of people strategists, people scientists, and people technologists. Look out also for a Global Skills Taxonomy toolkit from the World Economic Forum, as well a list of 20 global people analytics influencers, which was compiled using active ONA data. Enjoy!
This edition of the Data Driven HR Monthly is sponsored by our friends at TechWolf
Are we looking at skills the wrong way?
AI and automation are reshaping work. By 2028, one-third of enterprise software will automate tasks and decisions (Gartner), and McKinsey estimates this could add 1.2% to annual GDP growth.
Yet, 92% of HR leaders say (Gartner) they don’t have reliable data on the skills of their workforce. The challenge is clear:
How do we ensure skills evolve as fast as work itself?
Which skills actually drive business value?
How can companies align business and talent strategies with real work?
Most organizations track skills through self-reports, manager assessments, and outdated frameworks. An AI data layer like TechWolf revolutionizes that issue. But skills alone don’t tell the full story—tasks do.
"Skills tell us what someone càn do, tasks tell us what they actually do" says Jeroen Van Hautte ?, TechWolf’s CTO & Co-Founder, "They explain why those skills are needed and what value they bring."
So to understand skills, we need to understand work itself. That’s where Task Intelligence comes in.
By analyzing real work data—from projects, collaboration tools, and enterprise systems—Task Intelligence connects skills to actual work, giving companies a real-time, unbiased view of workforce capabilities.
Organizations using task intelligence to gain insights in the skills of their workforce can:
Plan workforce needs with confidence
Target learning & development where it matters
Improve hiring by focusing on real skills
Identify automation opportunities to free up time for high-value work
Curious to see how task intelligence and AI-powered skills insights are shaping the future of work? Dive into our latest insights:
? How TechWolf Bridges Skills and Work
? Exploring the Task-Skill Connection
TechWolf helps large enterprises understand the skills they have, the skills they need, and how to manage the gap in between—powered by AI.
To explore how TechWolf’s AI can help your organization, reach out at hello@techwolf.ai or visit techwolf.ai.
To sponsor an edition of the Data Driven HR Monthly, and share your brand with more than 140,000 Data Driven HR Monthly subscribers, send an email to dgreen@zandel.org.
FEBRUARY ROAD REPORT
In the last week of February, I had the privilege of chairing the second People Analytics World event in Zürich, which Ralf Buechsenschuss perfectly captures in his key takeaways and learnings. Thanks to Barry Swales and his team for organising a great two days. From Zürich, I am now heading to New York where Jamie Nevshehir and his team at NBC Universal are hosting a peer meeting for members of the Insight222 People Analytics Program®. It promises to be an enthralling two days with more than 70 people analytics professionals attending and a line-up of speakers including: Dawn Klinghoffer, Geetanjali Gamel, Anshul Sheopuri and Jeremy Shapiro. Also in March, I’m looking forward to delivering keynotes at HiBob’s Heartcore HR Live event in London on March 13, as well as the Workhuman Live Forum, also in London on March 19. I hope to see some of you there. February also saw the acquisition of eqtble by Paradox - congrats to Adam Godson, Gabe Horwitz, Joseph Ifiegbu and all concerned.
Share the love!
Enjoy reading the collection of resources for February and, if you do, please share some data driven HR love with your colleagues and networks. Thanks to the many of you who liked, shared and/or commented on January’s compendium.
If you enjoy a dose of curated learning (and the Digital HR Leaders podcast), the Insight222 newsletter: Digital HR Leaders newsletter is usually published every other Tuesday – subscribe here – and read the latest edition.
HYBRID, GENERATIVE AI AND THE FUTURE OF WORK
PHIL KIRSCHNER - McKinsey On Return To Office: Leaders Are Focused On The Wrong Thing | AARON DE SMET, BROOKE WEDDLE, BRYAN HANCOCK, MARIN MUGAYAR-BALDOCCHI, AND TAYLOR LAURICELLA - Returning to the office? Focus more on practices and less on the policy | NICK BLOOM - There are lies, damned lies and statistics | NICK BLOOM - The Future of Working from Home
Leaders must stop obsessing over where work gets done and start improving how it gets done.
February’s edition of the Data Driven HR Monthly has to start with this debate on RTO and hybrid. As Phil Kirschner’s article in Forbes explains, McKinsey has been publishing the findings of its ‘talent trends’ research through six studies since 2021. He observes that one clear trend has emerged: “The tension between where employees work and how effectively work gets done has been growing.” The latest McKinsey study finds that there was a surge in RTO from 2023 to 2024, with the proportion of mostly in-person workers (those working in person at least four days a week) doubling to 68 percent, from 34 percent in 2023. In his LinkedIn post citing Mark Twain’s infamous quote, Nick Bloom, who tracks work arrangements and attitudes monthly – see wfhresearch.com – questions the McKinsey data, explaining why he believes it is flawed and has both recall and sample biases. Bloom provides alternative data sources, which find that in January 2025, 29% of paid days in the US were work-from-home days (see FIG 1). Bloom’s supposition is that McKinsey may have felt pressurised by clients that want the narrative that work from home is failing in the media. One hopes that’s not the case, particularly as the main message the authors of the McKinsey article (Aaron De Smet, Brooke Weddle, Bryan Hancock, Marino Mugayar-Baldocchi and Taylor Lauricella) appear to be making is that: “The working model is far less important than the work environment leaders create.” They highlight five core practices to help firms implement a policy that fits their culture: collaboration, connectivity, innovation, mentorship, and skill development (see FIG 2). With the increasing politicisation – and even weaponisation by the new US Administration - of work topics such as flexible working and DEI, expect more debates like this as the year continues to unfurl.
FIG 1: About 29% of Paid Days in the US in January 2025 Were Work-From-Home Days (Source: WFH Research)
FIG 2: Employees’ ratings of their organization’s maturity in five practices by working model (Source: McKinsey)
CALLUM MCRAE AND SAMUEL BAMIDELE - Redefining workplace flexibility: Harmonizing corporate culture and employee satisfaction | KIM PARKER - Many remote workers say they’d be likely to leave their job if they could no longer work from home | BRIAN ELLIOTT, ANNIE DEAN, AND KEVIN OAKES – Navigating the Return-to-Office, Hybrid and Remote Landscape
Three more resources to help readers of the Data Driven HR Monthly navigate the latest research, challenges and discussions on flexible working. (1) Callum McRae and Samuel BAMIDELE present the key findings from WTW’s 2024 Workplace Flexibility Pulse Survey. One finding is that while 50% of 1,200 companies who participated in the study have policies in place requiring employees to be in the office for two to four days per week, the actual number of in-person days per week is lower (see FIG 3). (2) Similar to the WTW study, which also highlights the risk of employee attrition if companies fail to balance employer and employee needs, Kim Parker presents data from the Pew Research Center, which finds that nearly half of workers who currently work from home some of the time would likely leave if they were no longer able to do so (see FIG 4). (3) Finally, I highly recommend tuning into a recent The Institute for Corporate Productivity (i4cp) webinar, which saw Brian Elliott, Annie Dean, Kevin Oakes, and host Tom Stone get into the complexities of RTO, hybrid and remote work strategies. Topics covered included workplace design, how AI can augment human potential, and how blanket RTO mandates erode trust and engagement.
FIG 3: In-office-days required vs. actual by country (Source: WTW)
FIG 4: Source: Pew Research Center
HANNAH MAYER, LAREINA YEE, MICHAEL CHUI, AND ROGER ROBERTS - Superagency in the workplace: Empowering people to unlock AI’s full potential
Almost all companies invest in AI, but just 1 percent believe they are at maturity. The biggest barrier to scaling is not employees—who are ready—but leaders, who are not steering fast enough.
Inspired by Reid Hoffman’s book Superagency, this new report from McKinsey asks a similar question: How can companies harness AI to amplify human agency and unlock new levels of creativity and productivity in the workplace? Perhaps the standout conclusion is that employees are ready for AI but that the biggest barrier to success is leadership. The report is presented in five chapters. (1) An analysis of the rapid advancement of technology over the past two years and its implications for business adoption of AI. (2) The attitudes and perceptions of employees and leaders, with the former three times more likely than leaders realise to believe that AI will replace 30 percent of their work in the next year. (3) An examination of the need for speed and safety in AI deployment, with half of employees worrying about AI inaccuracy and cybersecurity risks. (4) A look at how companies risk losing ground in the AI race if leaders do not set bold goals. (5) Guidance on what is required for leaders to set their teams up for success with AI: “The challenge of AI in the workplace is not a technology challenge. It is a business challenge that calls upon leaders to align teams, address AI headwinds, and rewire their companies for change.” Finally, the article poses three questions each for leaders and employees to meet their AI future (see FIG 5). If you enjoy the article, I also recommend diving into AI in Action, an interactive four-part learning journey featuring Reid Hoffman and Lareina Yee, one of the authors of the McKinsey report. (Authors: Hannah M. Mayer, Lareina Yee, Michael Chui, and Roger Roberts).
FIG 5: Questions to shape a company’s AI future (Adapted from McKinsey)
FELIPE JARA - The Reality Check: Making AI in HR Actually Work
While 75% of organisations are still in early stages of AI adoption, those taking a systematic, process-led approach will see remarkable results - from 40% efficiency gains to fundamental transformations in how HR operates.
In his comprehensive and illuminating article, Felipe Jara analyses AI transformation in HR, breaking it down into four sections: (1) The Reality Check, which examines some of the barriers holding HR back: capability, financial constraints, delivery limitations, and technology. (2) The Process Revolution, examining the promise. With cases studies from the likes of Mastercard, IBM and Stanford Health Care, and how AI can augment the employee lifecycle (see FIG 6). (3) The Maturity Journey, which presents a maturity model from Deloitte and provides guidance on how to move forward. (4) The Implementation Framework, presenting a four-step approach to enabling AI in HR.
FIG 6: The AI-Augmented Talent Lifecycle (Source: Felipe Jara)
PEOPLE ANALYTICS
ANDREW PITTS, MATTHEW DIABES, RICHARD ROSENOW AND STEPHANIE MURPHY - Top 20 People Analytics Influencers and more from the PANC
Whilst I always appreciate being included on ‘influencer’ lists, most are wholly subjective and compiled using little or no data. This makes the People Analytics Network Census (PANC), all the more interesting. The initiative, which is the brainchild of Andrew Pitts, Matthew Diabes, PhD, Richard Rosenow and Stephanie Murphy, Ph.D., uses active organisational network analysis to map the global people analytics network. The results, which are based on more than 450 participants, are presented in five groups: (1) Top 20 Overall People Analytics Influencers, (2) Top 3 Networking Influencers, (3) Top 3 Mentorship Influencers, (4) Top 3 Technical Influencers (5) Top 10 Influencers from Outside of the United States. It’s a real honour to be included in the first list. Congrats to all those selected – many of whom I count as friends, colleagues and inspirations: Al Adamsen, Alexis Fink, Amit Mohindra, Andrew Pitts, Cole Napper, Dave Ulrich, Dawn Klinghoffer, Heather Whiteman, Ph.D., Ian OKeefe, John Boudreau, Josh Bersin, Mark H. Hanson, Michael Arena, Michael M. Moon, PhD, Patrick Coolen, Richard Rosenow, Rob Cross, Stacia Sherman Garr, Stephanie Murphy, Ph.D., Annika Schultz, Barry Swales, Greg Pryor, Lexy Martin, Michelle Deneau, Kevin Erikson, Kevin S., Michael Walsh, PhD, Adam McKinnon, PhD., David Shontz, Jaap Veldkamp, Kinsey Li, Leopoldo Torres, Ludek Stehlik, Ph.D., Martha Curioni, Rafael Uribe, Sanja Licina, Ph.D.
MCKINSEY - What makes product teams effective?
In episodes of the Digital HR Leaders podcast with leaders such as Ian OKeefe (here) and Aashish Sharma (here), we’ve talked about the importance of productisation in people analytics. Moreover, Insight222’s 2024 People Analytics Ecosystem study found that ‘analytics at scale’ teams (those teams that turn an insight, prediction, or algorithm into a product) have emerged as a core capability in the people analytics function of Leading Companies. As such, this article by Santiago Comella-Dorda, Vik Sohoni, Arun Sunderraj, Dan Gardner, and Lauren Gingerich McCoy for McKinsey is required reading for people analytics leaders. They analysed data from 1,700 teams, to measure how five capabilities (strategy, structure, people, process, and technology) impact four main outcomes (effectiveness, speed, productivity, and quality). This article focuses on the key capabilities required for three sub-outcomes of effectiveness: (1) Delivery predictability, (2) Value realisation (see FIG 7), and (3) Team engagement.
FIG 7: The ten key capabilities of value realisation in product teams (Source: McKinsey)
HELEN FRIEDMAN - Early Trends Influencing People Analytics Agendas In 2025 | BEN BERRY - The Rise of External Talent Intelligence as a Strategic Priority | DAVID BOYLE - Beyond Build-Buy-Borrow: "Blend" Emerges as a Pillar of Workforce Strategy | HESHAM AHMED - The three pillars of competitive advantage in data & analytics
In each edition of the Data Driven HR Monthly, I feature a collection of articles by current and recent people analytics leaders. These are intended to act as a spur and inspiration to the field. Four are highlighted in this month’s edition. (1) Helen Friedman walks through three topics shaping many current people analytics agendas: workforce planning, AI in relation to skills and pay equity, and using data to drive decisions around turnover, pay and managing uncertainty. (2) Ben Berry explains why the use of external talent intelligence data by organisation is rising sharply, how they’re using this data and what we can expect to see in the future. (3) David Boyle writes on the emergence of ‘blend’ as a fourth pillar of workforce planning: “Workforce strategy and AI strategy have the potential to trip over each other if they are not synchronized.” (4) Hesham Ahmed outlines three ways data and analytics can drive competitive advantage: superiority of information, insight and action (see FIG 8): “Superiority of action: it is not sufficient to know something that others don’t. It is the ability to act on that information or insight that leads to an advantage or edge.”
FIG 8: Three pillars of competitive advantage in data and analytics (Source: Hesham Ahmed)
THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE
ASMUS KOMM, FERNANDA MAYOL, NEEL GANDHI, SANDRA DURTH, AND JASMIN KIEFER - A new operating model for people management: More personal, more tech, more human
Organizations that excel in both people development and financial performance are four times as likely as peers to outperform financially and one and a half times as likely as peers to remain top tier year on year.
In the last three years, the most popular resource I have shared on LinkedIn, with over 1m views is McKinsey’s 2022 article, HR’s new Operating Model. The sequel is likely to drive just as much interest. In this article, which I was grateful to be invited to contribute to, the McKinsey team of Asmus Komm, Fernanda Mayol, Neel Gandhi, Sandra Durth, and Jasmin Kiefer explore a new vision of people management, centred on hyper-personalising the employee experience. Their findings conclude that that only about 20 percent of the most strategic activities in today’s HR portfolios will remain with two-thirds of current HR tasks being automated to a large degree (see FIG 9). They also outline the core elements of the operating system required to turn their vision into reality encompassing (1) Establishing a strategic triumvirate of people strategists, people scientists, and people technologists, (2) Streamlining the people operating model: more strategic, more fluid, and more tech-enabled (see FIG 10), and (3) Mastering complexity with technology. The authors also set out concrete steps organisations can take to implement a new people operating system. These steps include the need to experiment, a focus on continuous improvement and an onus on scaling what works.
FIG 9: Two-thirds of today’s people management processes can be largely automated (Source: McKinsey)
FIG 10: The future operating model for people management will be more strategic, fluid and tech-enabled (Source: McKinsey)
GARTNER - Top 3 Strategic Priorities for Chief HR Officers
CHROs are navigating a complex landscape shaped by several key trends. CEOs prioritizing growth through transformation, AI deployment challenges and shifting labor market pressures on talent strategies are influencing how the best organizations are leading HR to achieve business goals.
New research from Gartner identifying the three top CHRO focus areas for 2025: (1) Elevating HR’s impact on the organisation’s growth strategy. (2) Building a deep bench of change leaders. (3) Creating a future-ready workforce. The report provides a deep-dive on the three priorities with guidance and methodologies on how to drive success in each, such as the Talent Risk Assessment Heat Map (see FIG 11). The report also contains a powerful section on the new capabilities required by chief people officers (see FIG 12) and HR professionals. A must-read.
FIG 11: Example Talent Risk Assessment Heat Map (Source: Gartner)
FIG 12: Model of a World-Class CHRO (Source: Gartner)
DAVE ULRICH AND ROBERT DAVID - How HR Can Help Deliver Both Market Share and Customer Share through Human Capability
The evidence shows that when HR engages customers in talent, organization, leadership, and HR department initiatives, both market share and customer share improve.
What role can chief human resources officers play in helping their organisations to increase customer share while building market share? In their article, Dave Ulrich and Robert David outline five specific steps CHROs can take, which together demonstrate how HR can move from its traditional support role to help drive customer relationships and business growth: (1) Identify targeted customers – focus human capability investments on these. (2) Track customer share. (3) Define customer connection. (4) Engage with target customers (see FIG 13), and (5) Change HR conversations. For more on why and how HR professionals can increase their engagement with customers, do listen to Dave in discussion with Stacia Garr and me on this episode pf the Digital HR Leaders podcast: How HR Can Create Stakeholder Value and Drive Organisational Growth.
FIG 13: Ways to connect and engage with customers (Source: Dave Ulrich and Robert David)
WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS
WORLD ECONOMIC FORUM - Global Skills Taxonomy Adoption Toolkit: Defining a Common Skills Language for a Future-Ready Workforce
Skills and talent shortages are critical challenges hindering economic growth, limiting business opportunities, and curbing individual potential. As technology rapidly advances and economic landscapes continue to shift, a common skills language is urgently needed to bridge gaps and enable workforce transformation.
The World Economic Forum is spoiling us thus far in 2025. Not content with publishing the barnstorming Future of Jobs 2025 report, they have also released the Global Skills Taxonomy Adoption Toolkit, which will be a boon for workforce planners and people analysts everywhere. The toolkit is designed to equip leaders with actionable steps, evidence-based insights, and real-world case studies to adopt a common skills language and embed skills-first approaches into talent management strategies. Contents include (1) reasons for adopting a common skills taxonomy, (2) a Global Skills Taxonomy roadmap comprised of three phases (see FIG 14), and (3) key insights and methodologies for implementing each phase. Kudos to the authors - Neil Allison, Ximena Játiva, and Aarushi Singhania along with a stellar cast of contributors including Peter Brown MBE, Simon Brown ??, Shannon Custard, Soon Joo Gog, Kelli Jordan, and Jan Meyer.
FIG 14: Global Skills Taxonomy adoption roadmap (Source: World Economic Forum)
EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING
IT SURVEY GROUP - The Future of Feedback: Trends Shaping Employee Listening in 2025
AI and technology advancement are game changers for the listening and survey space. They will allow us to synthesize and interpret data – particularly qualitative data – with unprecedented speed and complexity
What are the key trends shaping the evolution of employee listening? Who better to ask than practitioners at the forefront of this important work. In their article, members of the IT Survey Group – including Megan Sherman, Ph.D., Kristin Saboe, Ph.D., Sophie Horneber, Anthony Ariano, Caitie Jacobson Mikulis, David Koch, Kellie Roberts, M.A., Stephanie Andel, PhD, and Robyn Petree-Guzman, Ph.D. present five trends shaping employee listening in 2025 (see FIG 15): (1) Supercharging sentiment, (2) “Silent” signaling, (3) Synergising surveys, (4) Guiding greatness, and (5) Refining the rhythm.
FIG 15: Top five trends for employee listening (Source: IT Survey Group)
NICK LYNN - Proactive Accountability: Turning Employee Insights into Action
Proactive accountability is more than just a practice — it’s a cultural commitment to transforming insights into meaningful action. It thrives on clear ownership, well-defined goals, and unwavering transparency.
Nick Lynn uses the concept of ‘proactive accountability’, which is commonplace in health and safety work, to solve the habitual challenge of turning insights gathered from employee listening work into meaningful actions (see FIG 16). Nick examines some of the common challenges from moving from insight to action such as the lack of a framework to prioritise feedback, slow decision-making, and poo communication. He explains why proactive accountability matters and how to foster it including developing a structured framework, assigning clear ownership, setting measurable goals, leveraging technology, building a community of change leaders, and celebrating success.
FIG 16: Proactive accountability (Source: Nick Lynn)
LEADERSHIP, CULTURE, AND LEARNING
DARRELL RIGBY AND ZACH FIRST – The Power of Strategic Fit
Companies that excel at creating stakeholder value attract and retain the most valuable stakeholders, gaining a competitive advantage.
In their article for Harvard Business Review, Bain partners Darrell Rigby and Zach First how to create a cohesive strategy that unleashes the power of ‘strategic fit’, which they define as: “Strategic fit is the degree of alignment and amount of synergy in a company’s business system.” They identify seven strategic factors: (1) the mental model, (2) purpose and ambitions, (3) stakeholder value creation, (4) macro forces, (5) markets and products, (6) competitive advantages, and (7) the operating model. They explain how aligning them generates beneficial multiplier effects, and – especially relevant for HR and people analytics professionals – demonstrate how creating value for employees and other stakeholders leads to higher returns (see FIG 17).
FIG 17: Strategic Fit Leads to Higher Returns (Source: Bain)
ANNE MCSILVER | LINKEDIN – Workplace Learning Report 2025: The rise of career champions
Learning combined with career development — leadership training, coaching, internal mobility, and more — accelerates the flow of critical skills to keep pace with business needs
The key theme of LinkedIn’s Workplace Learning Report 2025 is that the 36% of companies categorised as ‘career development champions’ (those companies with robust programs that yield business results) enjoy positive correlations with profitability outlook, confidence to attract and retain talent, and increased adoption of GAI. The report, with lead author Anne McSilver, features contributions from a host of talent leaders including: Vidya Krishnan (“The companies that outlearn other companies will outperform them.”), Chris Louie, Chris Foltz, Jennifer Shappley, Al Dea and Amanda Nolen (“You must be able to answer at least one of these three questions: How will this initiative help you to make money, save money, or mitigate risk for the company.”). The report also presents five talent foundations designed to accelerate career-driven learning: (1) Build the right skills, faster (see FIG 18). (2) Help people – and skills – move more easily. (3) Measure business impact. (4) Empower managers to support employee careers. (5) Inspire individual career growth. Thanks to Jennifer Gronski for making me aware of the report.
FIG 18: Skills-based talent and career development champions (Source: LinkedIn)
DIVERSITY, EQUITY, INCLUSION AND BELONGING
STACIA GARR - Understanding the Impact of Recent DEI Executive Orders | KENJI YOSHINO, DAVID GLASGOW, AND CHRISTINA JOSEPH - The Legal Landscape Around DEI Is Shifting. Your Messaging Should, Too | JOSH BERSIN - Despite Political Firestorm, Diversity Investments Are Alive And Well | JOELLE EMERSON - Continuing the Work of DEI, No Matter What Your Company Calls It |
While DEI the acronym may be on the decline, the work itself will remain vital for organizations that want to thrive today and in the future.
President Trump’s two executive orders (EOs) to “end radical and wasteful” Diversity, Equity, Inclusion and Accessibility initiatives, and litigate up to nine private companies as examples have set off a hailstorm of amazement and uncertainty. From what I’ve come across to date, here are some resources I recommend consuming: (1) Stacia Sherman Garr of RedThread Research was one of the first out of the blocks with a very helpful summary of the EOs and their implications. (2) Kenji Yoshino, David Glasgow, and Christina Joseph from the NYU School of Law’s Meltzer Center for Diversity, Inclusion, and Belonging, set out best practices on communicating about DEI, offer some sample language to avoid legal risk, and share strategies to disseminate these best practices throughout your organisation. (3) Josh Bersin offers a glimmer of hope in his article, first by highlighting organisations like Apple, Microsoft and JP Morgan that have all come out publicly against anti-DEI initiatives, and second by emphasising that rather than turning away from DEI, many companies are instead “embedding DEI into the disciplines of leadership, recruitment, performance management, and rewards.” (4) Joelle Emerson presents findings from a study by Paradigm, The State of Culture and Inclusion: 2024 Trends and a Look Ahead at 2025, which outlines three ways companies should consider shifting their approach to DEI: resetting the narrative, using data more effectively, and moving from siloed efforts to an embedded company-wide focus on creating cultures that work for everyone.
HR TECH VOICES
Much of the innovation in the field continues to be driven by the vendor community, and I’ve picked out a few resources from February that I recommend readers delve into. In a slight change-up this month, I’ll start with a couple of pieces that analyse the people analytics and wider HR technology market:
FRANZ GILBERT AND MATTHEW SHANNON - How agentic AI is changing HR dynamics in 2025 – Deloitte's Human Capital Forward team of Franz Gilbert and Matthew Shannon unveil six trends that will likely change how humans and technology work together in the year ahead. Their first prediction is that: “Improved macroeconomic factors will drive increased investment and transactions in the HR technology market.”
MERCER - The 2024/2025 Skills Snapshot Survey report – The Mercer team of Brian Fisher, Melba Gant, Katie Jenkins, ?Heather Ryan, and Peter Stevenson unveil the findings from their skills snapshot survey. One of the main findings is that the number of organisations attaining a high or very high level in skills maturity has increased significantly compared to 2023 (see FIG 19).
FIG 19: Skills maturity across organisations in talent practices, 2024 vs 2023 (Source: Mercer)
PHILIP ARKCOLL - How to get people to care about your insights – Philip Arkcoll, CEO at Worklytics, provides a five-step guide to help organisations turn insights from people data into meaningful outcomes.
JOHN GUY AND GARETH FLYNN - Simply Skills Chat: SWP, Tasks, AI, Skills and HR – John Guy and Gareth Flynn explore how HR can take advantage of the latest data, toolsets and mindsets to advance the field and drive business value.
LOUJAINA ABDELWAHED - Remote Companies Grow Twice as Fast – Loujaina Abdelwahed, PhD presents analysis by Revelio Labs, which finds that workforce growth in companies offering remote and hybrid work arrangements has outpaced that of in-person firms (see FIG 20).
FIG 20: Remote and hybrid companies have grown twice as fast as in-person companies (Source: Revelio Labs)
PODCASTS OF THE MONTH
In another month of high-quality podcasts, I’ve selected five gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below):
HEATHER BUSSING – Navigating Trump’s DE&I Executive Orders: Clarity – In a must-listen episode of Workplace Stories, Heather Bussing joins Stacia Sherman Garr and Dani Johnson to unpick the recent executive orders on DE&I, what they mean for businesses, and how employers can navigate this complex landscape without overreacting.
JEFFREY PFEFFER – Is Work Killing Us? – “An employer can be a good steward of the human beings whose lives have been entrusted to them — or not,” explains Jeffrey Pfeffer, author of Dying for a Paycheck, to host Kevin Cool, in this powerful episode of the if/then podcast from Stanford Business School.
MARC EFFRON - The Science of Talent, 8 Steps to High Performance – Marc Effron joins Cole Napper and Scott Hines, PhD of the Directionally Correct podcast for an absorbing discussion covering topics such as why top I/O psychology Ph.D. programs aren’t more practitioner focused, as well as Marc’s two recent articles: “It’s not the mortar, it’s the bricks” and “Is the juice worth the squeeze”.
RICHARD ROSENOW – Reimagining HR: Leveraging AI and Data for Better Outcomes – Richard Rosenow guests on the Capital H podcast with Kyle Forrest to discuss the role of data quality, governance, and AI in enabling HR teams to focus on strategic insights and drive business outcomes.
DEBORAH PERRY PISCIONE - Employment Is Changing Forever – Sharing insights from her new book with Josh Drean, Employment is Dead: How Disruptive Technologies are Revolutionizing the Way We Work, Deborah Perry Piscione joins host Alison Beard on HBR IdeaCast to explain why we’re at a pivot point where old models of employment will be replaced by entirely new ones, and how mindset shifts and upskilling can help us prepare.
VIDEO OF THE MONTH
NAOMI VERGHESE, MADHURA CHAKRABARTI, AND DAVID GREEN | INSIGHT22 – People Analytics Trends Webinar
Hopefully, I’ll be excused the mild dose of self-indulgence here, but this month’s ‘Video of the Month’ is the recent webinar I hosted with Naomi Verghese and Madhura Chakrabarti, PhD on the key findings of fifth annual Insight222 People Analytics Trends report. The webinar includes a deep dive on the four main findings of the study, which include insights on the impact of AI on people analytics, how leading companies measure the value of their work, and what we’ve identified as the adoption gap in people analytics.
BOOK OF THE MONTH
SERENA HUANG - The Inclusion Equation: Leveraging Data & AI For Organizational Diversity and Well-being
Serena H. Huang, Ph.D.’s debut book is incredibly well-timed given the current assault on diversity, equity and inclusion. The Inclusion Equation provides a compelling guide to merging DEI and wellbeing initiatives with people analytics and AI to deliver outcomes for employees – and the business. As I wrote in my endorsement of the book: “The Inclusion Equation acts as a guide for chief people officers to harness data, analytics and technology to create a truly inclusive and healthy environment where workers can thrive.”
RESEARCH REPORT OF THE MONTH
KYLE LAGUNAS - Unlocking AI’s Potential in HR: A Practical Guide for Leaders
This new report from Kyle Lagunas and the team at Aptitude Research is certainly worth a read. It features insights from seasoned HR thinkers and executives like Bob Pulver, Manjuri Sinha, Dustin Cann, and Meghan Rhatigan as well as a practical framework – impact, complexity, and risk - for assessing AI use cases, helping HR and operations professionals cut through the hype and so making smarter technology decisions.
FIG 21: Adoption of AI in HR is slowing, but interest isn’t (Source: Aptitude Research)
BONUS RESOURCES
Some bonus resources to also consume this month:
I don't anyone is writing with more quality or consistency on the impact of AI on work and on HR than Jason Averbook read one of his latest pieces, Thriving, Not Just Surviving, in an AI-First World, and then - if you haven't already - subscribe to his Now to Next Substack.
Adam Bryant’s Strategic CHRO newsletter is always required reading as his recent interviews with Ellyn Shook (CHROs Must Never Forget That They Are The Voice Of The People On The C-Suite Team) and Peter Fasolo, Ph.D. (You Have To Be Curious About How All The Levers Work In Large-Scale Social Systems) ably demonstrate.
Dr Tomas Chamorro-Premuzic asks Can AI Fix Succession Planning? and highlights how passive data can be used to help predict leadership success: “The work of David Stillwell, Sandra Matz and Michal Kosinski demonstrates how AI can infer personality traits and leadership potential from digital footprints, as well as internal company data not historically seen as critical to leadership talent.”
In a recent edition of his This Week, In Recruiting newsletter, Hung Lee asks is Elon Musk an existential threat to HR, and presents six compelling arguments to suggest he might be. After reading Hung’s piece, readers may wish that Musk is handed a one-way ticket to mars.
Thomas Otter is one of my favourite writers, and in The difficult second album: Advice for HR TECH vendors on launching a second product uses The Stone Roses sophomore album, The Second Coming (actually, a very good album) as a warning for HR Tech vendors intent on launching a second product.
Tom Redman and Donna Burbank explain how by mixing together some training, providing an opportunity to speak up, and having better KPIs, leaders can hone a data driven culture: How to Make Everyone Great at Data.
In his article, Laurent Reich provides five learnings to make the Corporate Sustainability Reporting Directive (CSRD) and opportunity for HR: CSRD: HR's Burden or Breakthrough? Turning Compliance into Opportunity: 5 learnings.
FROM MY DESK
February saw the final two episodes of series 44 the Digital HR Leaders podcast, sponsored by our friends at TalentNeuron (thanks to John Lynch, David Wilkins, Maureen McGinness, and the TalentNeuron team). It also saw a special bonus episode featuring my colleagues from Insight222, and the first episode of series 45, sponsored by our friends at Amazing Workplace, Inc. (thanks to Shon Holyfield).
HENRIK HÅKANSSON - What People Analytics Leaders Need to Know About Scaling Their Function – Henrik Håkansson, who has built people analytics functions at three companies: Sony, Delivery Hero, and now Volvo Cars, joins me to share practical insights from his journey—what worked, what didn’t, and the lessons he’s learned on scaling people analytics along the way.
TOBIAS BARTHOLOMÉ – How Lufthansa Group Combines Operational and Strategic Workforce Planning - Dr. Tobias Bartholomé, Project Lead for Strategic Workforce Planning at Lufthansa Group, joins me to explore why—after nearly a decade—Lufthansa has taken a bold step back to reimagine how it plans for the future of work.
JONATHAN FERRAR AND NAOMI VERGHESE - How Leading Companies Turn People Analytics Into Business Value – In a special bonus episode of the Digital HR Leaders podcast, I was joined by my Insight222 colleagues Jonathan Ferrar and Naomi Verghese to uncover what truly differentiates leading companies in people analytics, and what research tells us about the evolution of the field over the last five years.
ERIN MEYER - How to Bridge Cultures and Lead Global Teams for Success – Erin Meyer, Professor at INSEAD and author of The Culture Map: Breaking Through the Invisible Boundaries of Global Business joins me for a conversation exploring how cultural differences shape the way we work, lead, and collaborate.
DAVID GREEN - How do you leverage People Analytics to inform Strategic Workforce Planning initiatives? – A wrap up of series 44 of the Digital HR Leaders podcast, which featured conversations with Stacia Sherman Garr, Dave Ulrich, Prasad Setty, David Wilkins, Henrik Håkansson, and Dr. Tobias Bartholomé, and featured the common question: How do you leverage People Analytics to inform Strategic Workforce Planning initiatives?
LOOKING FOR A NEW ROLE IN PEOPLE ANALYTICS OR HR TECH?
I’d like to highlight once again the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which – as Richard’s latest newsletter reveals - now numbers over 500 roles. Look out too for Richard’s People Analytics Talent Book.
THANK YOU
The team at 365Talents for including me in their Top 50 HR influencers to follow in 2025
Mila Pascual-Nodusso for including the Digital HR Leaders podcast in her list of the Top 6 Spotify Podcasts on Human Resources, Talent Management, and Leadership Development.
Neeru Monga for also including the Digital HR Leaders podcast on a list of her seven favourite podcasts.
Steve Hunt for concluding after running a ChatGPT summary of the January edition of the Data Driven HR Monthly, that my version “is far more informative, interesting, and enjoyable even if it does take more time to read.” I won’t hang up my cap, just yet then ;-)
Hirex for including me as one of 10+ influential experts you need to follow in 2025
Thinkers360 for including me in their list of Top 100 B2B Thought Leaders, Analysts & Influencers You Should Work With In 2025 (EMEA).
Finally, a huge thank you to the following people who either shared the January edition of Data Driven HR Monthly and/or posted about the Digital HR Leaders podcast, conferences or other content. It's much appreciated: Thomas Kohler, Steve Sands, Christian Vetter ??, Ashish Pant, Stela Lupushor, Jo Thackray, Elin Thomasian, Guusje Brummer, Russell Flint, Kevin Le Vaillant, RJ Milnor, Ben Berry, Sewmini Amanda, Malinda Perera, Terri Horton, EdD, MBA, MA, SHRM-CP, PHR, Nesimi Akgul, Charlotte Copeman, Amardeep Singh, MBA, Diego Miranda, Jeff Wellstead, Dr Philip Gibbs, Amber O'Mahony, David Simmonds FCIPD, Sachin Sangade, Thiago Pimentel Pinto, Robin Haag, Susan Podlogar (she/her), Torin Ellis, Scott Reida, Catriona Lindsay, Kris Saling, Graham Tollit, Aravind Warrier, Jacob Nielsen, Swechha Mohapatra (IHRP-SP, SHRM-SCP, CIPD), Lewis Garrad, Viktoriia Kriukova (Вікторія Крюкова), Ying Li, Marc Steven Ramos, Danielle Farrell, MA, Greg Pryor, Jose Luis Chavez Vasquez, Michel Ciampi, Jacqui Brassey, PhD, MA, MAfN ?️ (née Schouten), Till Alexander Leopold, Richard Bretzger, José Valdivieso, John Golden, Ph.D., Kathleen Kruse, Kyle Forrest, Matthew Hamilton, Asaf Jackoby, David McLean, Dave Millner, Ben Waber, Ravin Jesuthasan, CFA, FRSA, Federico Bechini, Rebecca Ray, Aizhan Tursunbayeva, PhD, GRP, Tobias W. Goers ツ, Andrew Spence, Michelle Lee ?, Alex Franco, MHRM, Destin Cacioppo, Anisha Aulbach, Megan Reif, Dolapo (Dolly) Oyenuga, Kirsten Edwards, Kimberly Rose, Amanda dos Reis Garcia, Paola Alfaro Alpízar, Anna Kjellberg, Lucie Vottova, Kouros Behzad, Alexis Vergani, Francesca Gabetti, Brandon Roberts, Delia Majarín, Peter Ryan, John Gunawan, Sergio Garcia Mora, Dan George, Gal Mozes, PhD, Chris Long, Ohad Geron, Ryan Wong, Raja Sengupta, Pedro Pereira, Nikita D'Souza, Timo Tischer, Dave Fineman, Monika Manova, Shuang Yueh Pui, PhD, Holly Kortright (she-her), Hanne Hoberg, Andrés García Ayala, Arne-Christian Van Der Tang, Daisy Grewal, Ph.D., Nicolas Quadrelli, Erik Otteson, Bejoy Mathew, Stephen Hickey, Agnes Garaba, Gawain Wang, Emanuele Magrone, Maria Ursu, Marc Caslani, Dan Lapporte, Patrick Coolen, Ian Grant FCIPD, Joonghak Lee, Jaejin Lee, David Balls (FCIPD), Craig Starbuck, PhD, Mariami Lolashvili, Mattijs Mol, David Elkjær, Marie-Hélène Gélinas, MBA (Cand.), Aurélie Crégut, Nick Hudgell, Teodora Staneva, Sonia Mooney, Elizabeth Esarove, Søren Kold, Moïra Taillefer, Monika Mardaus, Tina Peeters, PhD, Ken Clar, Maria Alice Jovinski, Marcela Mury, Toon van der Veer, Madeline Cedeno, Marc Voi Chiuli. (MSc. HRM. Assoc CIPD. MIHRM.), Herbert Burri, Alexander S. Locher, Ava Dossi, Anna Kuzmenko
ABOUT THE AUTHOR
David Green ?? is a globally respected author, speaker, conference chair, and executive consultant on people analytics, data-driven HR and the future of work. As Managing Partner and Executive Director at Insight222, he has overall responsibility for the delivery of the Insight222 People Analytics Program, which supports the advancement of people analytics in over 100 global organisations. Prior to co-founding Insight222, David accumulated over 20 years experience in the human resources and people analytics fields, including as Global Director of People Analytics Solutions at IBM. As such, David has extensive experience in helping organisations increase value, impact and focus from the wise and ethical use of people analytics. David also hosts the Digital HR Leaders Podcast and is an instructor for Insight222's myHRfuture Academy. His book, co-authored with Jonathan Ferrar, Excellence in People Analytics: How to use Workforce Data to Create Business Value was published in the summer of 2021.
MEET ME AT THESE EVENTS
I'll be speaking about people analytics, the future of work, and data driven HR at a number of upcoming events in early 2025:
March 13 - HiBob Heartcore HR LIVE, London
March 19 - Workhuman Live Forum, London
April 10-11 - Wharton People Analytics Conference, Philadelphia
April 29-30 - People Analytics World, London
May 6-8 - UNLEASH America, Las Vegas
June 4-6 - TALREOS (Talent Analytics Leadership Roundtable Economic Mobility Summit), Chicago
July 31 - August 1 - People Matters TechHR India 2025, Delhi
October 21-22 - UNLEASH World, Paris
More events will be added as they are confirmed.
skills taxonomy
2025年03月02日
skills taxonomy
Autonomous Corporate Learning Platforms: Arriving Now, Powered by AIJosh Bersin 的文章通过人工智能驱动的自主平台介绍了企业学习的变革浪潮，标志着从传统学习系统到动态、个性化学习体验的重大转变。他重点介绍了 Sana、Docebo、Uplimit 和 Arist 等供应商的出现，它们利用人工智能动态生成和个性化内容，满足了企业培训不断变化的需求。Bersin 讨论了跟上多样化学习需求所面临的挑战，以及人工智能解决方案如何提供可扩展的高效方法来管理知识和提高学习效果，并预测了人工智能将从根本上改变教学设计和内容交付的未来。推荐给大家：
Thanks to Generative AI, we’re about to see the biggest revolution in corporate learning since the invention of the internet. And this new world, which will bring together personalization, knowledge management, and a delightful user experience, is long overdue.
I’ve been working in the corporate learning market since 1998, when the term “e-learning” was invented. And every innovation since that time has been an attempt to make training easier to build, easier to consume, and more personalized. Many of the innovations were well intentioned, but often they didn’t work as planned.
First came role based learning, then competency-driven training and career-driven programs. These worked great, but they couldn’t adapt fast enough. So people resorted to short video, YouTube-style platforms, and then user-authored content. We then added mobile tools, highly collaborative systems, MOOCs, and more recently Learning Experience Platforms. Now everyone is focused on skills-based training, and we’re trying to take all our content and organize it around a skills taxonomy.
Well I’m here to tell you all this is about to change. While none of these important innovations will go away, a new breed of AI-powered dynamic content systems is going to change everything. And as a long student of this space, I’d like to explain why. And in this conversation I will discuss four new vendors, each of which prove my point (Sana, Docebo, Uplimit, and Arist).
The Dynamic Content Problem: Instructional Design By Machine
Let’s start with the problem. Companies have thousands of topics, professional skills, technical skills, and business strategies to teach. Employees need to learn about tools, business strategies, how to do their job, and how to manage others. And every company’s corpus of knowledge is different.
Rolls Royce, a company now starting to use Galileo, has 120 years of engineering, technology, and manufacturing expertise embedded in its products, documentation, support systems, and people. How can the company possibly impart this expertise into new engineers? It’s a daunting problem.
Every company has this issue. When I worked at Exxon we had hundreds of manuals explaining how to design pumps, pressure vessels, and various refinery systems. Shell built a massive simulation to teach production engineers how to understand geology and drilling. Starbucks has to teach each barista how to make thousands of drinks. And even Uber drivers have to learn how to use their app, take care of customers, and stay safe. (They use Arist for this.)
All these challenges are fun to think about. Instructional designers and training managers create fascinating training programs that range from in-class sessions to long courses, simulations, job aids, and podcasts. But as hard as they try and as creative as they are, the “content problem” keeps growing.
Right now, for example, everyone is freaked out about AI skills, human-centered leadership, sustainability strategies, and cloud-based offerings. I’ve never seen a sales organization that does quite enough training, and you can multiply that by 100 when you think about customer service, repair operations, manufacturing, and internal operations.
While I always loved working with instructional designers earlier in my career, their work takes time and effort. Every special course, video, assessment, and learning path takes time and money to build. And once it’s built we want it to be “adaptive” to the learner. Many tools have tried to build adaptive learning (from Axonify to Cisco’s “reusable learning objects“) but the scale and utility of these innovations is limited.
What if we use AI and machine learning to simply build content on the fly? And let employees simply ask questions to find and create the learning experience they want? Well thanks to innovations from the vendors I mentioned above, this kind of personalized experience is available today. (Listen to my conversation with Joel Hellermark from Sana to hear more.)
What Is An Autonomous Learning Platform?
The best analogy I’ve come up with is the “five levels of autonomous driving.” We’re going from “no automation” to “driver assist” to “conditional automation” to “fully automated.” Let me suggest this is precisely what’s happening in corporate training.
If you look at the pace of AI announcements coming (custom GPTs, image and video generation, integrated search), you can see that this reality has now arrived.
How Does This Really Work
Now that I’ve had more than a year to tinker with AI and talk with dozens of vendors, the path is becoming clear. The new generation of learning platforms (and yes, this will eventually replace your LMS), can do many things we need:
First, they can dynamically index and injest content into an LLM, creating an “expert” or “tutor” to answer questions. Galileo, for example, now speaks in my own personal voice and can answer almost any question in HR I typically get in person. And it gives references, examples, and suggests follow-up questions. Companies can take courses, documents, and work rules and simply add them to the corpus.
Second, these systems can dynamically create courses, videos, quizzes, and simulations. Arist’s tool builds world-class instructional pathways from documents (try our free online course on Predictions 2024 for example) and probably eliminates 80% of the design time. Docebo Shape can take sales presentations and build an instructional simulation automatically, enabling sales people to practice and rehearse.
Third, they can give employees interactive tutors and coaches to learn. Uplimit’s new system, which is designed for technical training, automatically gives you an LLM-powered coach to step you through exercises, and it learns who you are and what kind of questions you need help with. No need to “find the instructor” when you get stuck.
Fourth, they can personalize content precisely for you. Sana’s platform, which Joel describes here, can not only dynamically generate content but by understanding your behavior, can actually give you a personalized version of any course you choose to take.
These systems are truly spectacular. The first time you see one it’s kind of shocking, but once you understand how they work you see a whole new world ahead.
Where Is This Going
While the market is young, I see four huge opportunities ahead.
First, companies can now take millions of hours of legacy content and “republish it” in a better form. All those old SCORM or video-based courses, exercises, and simulations can turn into intelligent tutors and knowledge management systems for employees. This won’t be a simple task but I guarantee it’s going to happen. Why would I want to ramble around in the LMS (or even LinkedIn Learning) to find the video, or information I need? I”d just like to ask a system like Galileo to answer a question, and let the platform answer the question and take me to the page or word in the video to watch.
Second, we can liberate instructional design. While there will always be a need for great designers, we can now democratize this process, enabling sales operations people, and other “non-designers” to build content and courses faster. Projects like video authoring and video journalism (which we do a lot in our academy) can be greatly accelerated. And soon we’ll have “generated VR” as well.
Third, we can finally integrate live learning with self-directed study. Every live event can be recorded and indexed in the LLM. A two hour webinar now becomes a discoverable learning object, and every minute of explanation can be found and used for learning. Our corpus, for example, includes hundreds of hours of in-depth interviews and case studies with HR leaders. All this information can be brought to life with a simple question.
Fourth, we can really simplify compliance training, operations training, product usage, and customer support. How many training programs are designed to teach someone “what not to do” or “how to avoid breaking something” or “how to assemble or operate” some machine? I’d suggest its millions of hours – and all this can now be embedded in AI, offered via chat (or voice), and turned loose on employees to help them quickly learn how to do their jobs.
Vendors Watch Out
This shift is about as disruptive as Tesla has been to the big three automakers. Old LMS and LXP systems are going to look clunkier than ever. Mobile learning won’t be a specialized space like it has been. And most of the ERP-delivered training systems are going to have to change.
Sana and Uplimit, for example, are both AI-architected systems. These platforms are not “LMSs with Gen AI added,” they are AI at the core. They’re likely to disrupt many traditional systems including Workday Learning, SuccessFactors, Cornerstone, and others.
Consider the content providers. Large players like LinkedIn Learning, Skillsoft, Coursera, and Udemy have the opportunity to rethink their entire strategy, and either put Gen AI on top of their solution or possibly start with a fresh approach. Smaller providers like us (and thousands of others) can take their corpus of knowledge and quickly make it come to life. (There will be a massive market of AI tools to help with this.)
I’m not saying this is easy. If you talk with vendors like Sana, Docebo, Arist, and Uplimit, you see that their AI platforms have to be highly tuned and optimized for the right user experience. This is not as simple as “dumping content into ChatGPT,” believe me.
But the writing is on the wall, Autonomous Learning is coming fast.
As someone who has lived in the L&D market for 25 years, I see this era as the most exciting, high-value time in two decades. I suggest you jump in and learn, we’ll be here to help you along the way.
About These Vendors
Sana (Sana Labs) is a Sweden-based AI company that focuses on transforming how organizations learn and access knowledge. The company provides an AI-based platform to help people manage information at work and use that data as a resource for e-learning within the organization. Sana Labs’ platform combines knowledge management, enterprise search, and e-learning to work together, allowing for the automatic organization of data across different apps used within an organization.
Docebo is a software as a service company that specializes in learning management systems (LMS). It was founded in 2005 and is known for its Docebo Learn LMS and other tools, including Docebo Shape, its AI development system. The company has integrated learning-specific artificial intelligence algorithms into its platform, powered by a combination of machine learning, deep learning, and natural language processing. The company went public in 2019 and is listed on the Toronto Stock Exchange and the Nasdaq Global Select Market.
Uplimit is an online learning platform that offers live group courses taught by top experts in the fields of AI, data, engineering, product, and business. The platform is known for its AI-powered teaching assistant and personalized learning approach, which includes real-time feedback, tailored learning plans, and support for learners. Uplimit’s courses cover technical and leadership topics and are designed to help individuals and organizations acquire the skills needed for the future.
Arist is a company that provides a text message learning platform, allowing Fortune 500 companies, governments, and nonprofits to rapidly teach and train employees entirely via text message. The platform is designed to deliver research-backed learning and nudges directly in messaging tools, making learning accessible and effective. Arist’s approach is inspired by Stanford research and aims to create hyper-engaging courses in minutes and enroll learners in seconds via SMS and WhatsApp, without the need for a laptop, LMS, or internet. The company has been recognized for its innovative and science-backed approach to microlearning and training delivery.
BY JOSHBERSIN
skills taxonomy
skills taxonomy
skills taxonomy
扫一扫
添加客服
