The best HR & People Analytics articles of October 2024
Never forget what the ‘H’ in HR stands for...
This was the unanimous advice of the CEO panel, skilfully moderated by Charles-Henri Besseyre des Horts, at the recent Unleash World show in Paris, where I had the privilege of being emcee of the Main Stage. One of the main themes that emerged from the show (see my key learnings from Unleash) is that HR continues to make significant progress in its journey from support function to strategic partner. To complete this transition, HR must embrace data (as opening keynote Peter Hinssen put it: “You can’t connect the dots, if you don’t collect the dots”). Moreover, as I said in my opening words:
HR can’t lead the charge on AI, skills and new ways of working, if it doesn’t upskill itself.
This edition of the Data Driven HR Monthly is sponsored by our friends at Visier
Pay Equity: A Critical Workforce Challenge You Can No Longer Ignore.
According to a recent study by The Josh Bersin Company on pay equity, as it stands today, the gender pay gap won't close until 2048. Even worse: progress in some areas is slowing with less than 5% of companies excelling in pay equity despite it having 13 times the impact on employee experience compared to pay levels. Read the report.
The report, “The Surprising Truth about Gender Pay Equity”., examines:
The current state of gender pay equity
Barriers companies face in addressing pay
The projected timeline for closing the gender pay gap
Examples of companies implementing strategies to achieve pay equity
It’s time to face the challenge head-on, embed pay equity into everyday practices, and have informed conversations about compensation.
Get the report.
Visier gives you a Workforce AI Edge: the set of AI-powered capabilities every leader needs to confidently navigate an exponentially more challenging business environment.
October road report
October was a busy month. It started in New York, where I moderated a panel on Workestration at the NY Strategic HR Analytics Meetup Group before co-chairing the first People Analytics World to take place in the US. The next stop was Paris, for the aforementioned UNLEASH World, which had over 7,000 attendees. Finally, it was back to the US for a Peer Meeting for North American members of the Insight222 People Analytics Program®, which was hosted by Phil Wilburn and his team at Workday.
For more on People Analytics World, I recommend reading takeaways from Craig Starbuck, PhD (here), Al Adamsen (here), Christopher Cerasoli (here), Lore Muraina, PMP, PMI-ACP, CPP (here), Lydia Wu (here), and Melissa Arronte (here). Thanks to Barry Swales for entrusting me to co-chair with Michael M. Moon, PhD.
For more on Unleash, read my key learnings, as well as checking out the Unleash site for articles by Alexandra Nawrat, John Brazier and Lucy Buchholz. A huge thank you to Marc Coleman, Paige Richmond, Zoltán Kőváry and the whole Unleash team – it was a joy to work with you all again.
A huge thank you too to Phil Willburn and the Workday team for hosting the Insight222 Peer Meeting at Pleasanton, as well as the speakers at the Peer Meeting: Shannon Vallina, Kanwal Safdar, Dr. Sebastian Projahn, Ashley Goldsmith, Rex Blodgett, Kun Gu, Victoria Holland, Greta Stahl, Kinnari Desai, Sven Linsmaier
Finally, thanks as well to Stela Lupushor for inviting me to chair the panel on Workestration, Anna A. Tavis, PhD for hosting us at NYU, and Annie Dean, Brydie Lear and Chris Butler for making it such a rich conversation.
Attendees at the Insight222 Peer Meeting for members of the Insight222 People Analytics Program, hosted by Workday, October 22-23, 2024
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Enjoy reading the collection of resources for October 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 September’s compendium.
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HYBRID, GENERATIVE AI AND THE FUTURE OF WORK
ERIC ANICICH AND DART LINDSLEY - Reimagining Work as a Product
If companies listen to employees the way they do customers, they can increase retention and engagement.
In their Harvard Business Review article, Eric Anicich and Dart Lindsley challenge the traditional approaches to employee experience by painting a vision where work is viewed as a product employers offer to employees. Drawing on Clayton Christensen’s the jobs to be done theory, they suggest that employees ‘hire’ their jobs to fulfil specific needs, much as customers choose products. This perspective shifts the focus from maximising productivity to something akin to customer satisfaction. The authors share examples from a myriad of companies including Asana, Eli Lilly, Shopify and Dropbox, explain how companies can better balance company needs with employee satisfaction (see FIG 1), and discuss the merits of splitting the manager role in two (see also ‘Managers Can’t Do It All’ by Lynda Gratton and Diane Gherson). Finally, the article examines four challenges of implementing the model: (1) Changing HR (“Work-as-a-product requires a new HR mindset”). (2) Balancing employee preferences and organisational needs. (3) Maintaining flexibility and fairness. (4) Aligning incentives.
FIG 1: Balancing company needs with employee satisfaction (Source: Anicich and Lindsley)
NICHOLAS BLOOM, JAMES LIANG, AND RUOBING HAN - One Company A/B Tested Hybrid Work. Here’s What They Found
With Amazon CEO Andy Jassy recently announcing that Amazon is going back to five days in the office: “to further strengthen our culture and teams”, this article by Nick Bloom, James Liang, and Ruobing Han based on A/B testing at Trip.com into different work modes makes for very interesting reading. The experiment involved 1600 employees being split into two groups. The first group worked five days a week in the office, with the second working three days in the office and two days a week at home. Over a two-year period, the experiment found no differences between the two groups in productivity, performance, promotion, learning or innovation. However, the study found that the hybrid group experienced higher satisfaction and lower attrition rates compared with their colleagues who worked exclusively from the office (see FIG 2). This reduction in turnover saved millions of dollars in recruiting and training costs, thereby increasing profits for the company. As the article explains, organisations can learn several valuable lessons from this study to implement a successful hybrid work model: (1) Establishing rigorous performance management systems, (2) Coordinating team or company-level hybrid schedules, (3) Securing support from firm leadership, and (4) A/B test their own management practices to find what works best for them.
Our results showed that under a hybrid-work policy, Trip.com was able to generate millions of dollars of profits by reducing expensive attrition without any impact on performance, innovation, or productivity.
FIG 2: Source: Hybrid working from home improves retention without damaging performance
MICHAEL ARENA AND PHILIP ARKCOLL - The collaboration mandate: Does returning to the office improve innovation?
What we need isn’t an office mandate—it’s a “collaboration mandate.” Shifting our focus from where we work to how we work could unlock the innovation we’re seeking.
In all the hullabaloo of return to office mandates, there’s still too much focus on where employees work rather than how they collaborate. As Michael Arena and Philip Arkcoll write in their excellent article, dragging employees back into the office won’t magically spark innovation. Instead of an office mandate, they advocate for a “collaboration mandate”. The article explains how innovation is generated through three critical phases of collaboration: (1) Discovery (“the generation of new ideas and insights, often benefiting from the intentional bridging of connections and in-person interactions”), (2) Development (“transforming those ideas into viable solutions, where the focused team interactions of experimentation and rapid iteration are essential. It also requires an environment with minimal distraction for focused concentration.” – see FIG 3) and (3) Scaling (“the process of implementing solutions across the organization, which requires more deliberate interactions with key influencers to ensure widespread adoption and buy-in.”). The article examines the impact of remote and in-person on each stage, and provides guidance on practices to improve collaboration in each. For more, I recommend listening to Michael on a recent episode of the Digital HR Leaders podcast with me: What the Impact of Distributed Work on Organisational Networks Tells Us About the Future of Talent Management.
FIG 3: High levels of focus, such as 4.4 hours daily versus a low focus level of 2.7 hours, significantly drive productivity in development (Source: Worklytics)
https://youtu.be/-giwBOuYwio
BCG - Five Must-Haves for Effective AI Upskilling
Embedding AI in daily tasks at all levels creates a network effect: the more people use and understand it, the more the entire organization gains in knowledge, innovation, and efficiency.
Upskilling its workforce on AI helps a company maximise its investments in the technology and equips it with a competitive edge. In a new study by BCG, Hean-Ho Loh, Vinciane Beauchene, Vladimir Lukic, and Rajiv Shenoy provide guidance on five actions to help achieve this: (1) Assess needs and measure outcomes (the article recommends using the Kirkpatrick method). (2) Prepare workers for change - individually, at the team level, and organisation-wide. (3) Introduce appropriate incentives to unlock employees’ willingness to learn (e.g. nudges). (4) Position the C-suite at the forefront of adoption and training initiatives. (5) Use AI tools and the network effect to upskill people on AI (see FIG 4).
FIG 4: AI learning and support tools fall into four categories (Source: BCG)
KAI HAHN | INTELLIGENT ENTERPRISE LEADERS ALLIANCE - AI & The Future of Work
Within People Analytics’ transformation into a strategic business partner the advance of AI is shaping up as an accelerator if used to drive business outcomes
Kai Hahn presents the results of a comprehensive study by the Intelligent Enterprise Leaders Alliance on the state of AI adoption in HR and people analytics. The report features a stellar list of contributors including: Arianna Huffington, Dave Ulrich, Dr Tomas Chamorro-Premuzic, Amit Mohindra, Nicole Lettich, Kalifa Oliver, Ph.D. and Alim A. Dhanji. Key findings include: (1) Talent Acquisition is at the forefront of embracing AI tools with 70% currently piloting/leveraging AI, followed by People Analytics and L&D with 65%. (2) Priorities for People Analytics in the next 6-12 months with AI are first and foremost automating HR operations. (3) The biggest barrier to adoption is resistance to change, ahead of skills gaps, challenges with data quality and security, privacy and trust, and ethical concerns and bias.
FIG 5: Where organisations are leveraging AI in HR (Source: IELA)
PEOPLE ANALYTICS
JAAP VELDKAMP - Positioning People Analytics into the HR Service Model: A Path to Sustainable Impact
Embedding People Analytics within the HR Service Model is essential for creating a lasting and meaningful impact.
In his thoughtful article, Jaap Veldkamp, Global Head of People Analytics and Organisational Effectiveness at ABN AMRO, provides guidance on how people analytics should be positioned within the broader HR service model. Jaap provides a simplified view of the HR operating model (see FIG 6), which has three components: (1) Identifying needs. (2) Prioritising needs. (3) Executing and evaluating strategies. He then describes how the key capabilities of ABN AMRO’s people analytics function (Dashboarding and reporting, Employee listening, Data science and research, Organisational effectiveness, and Consulting) flow through the HR service model. As Jaap highlights: “the overall aim is to ensure that the capabilities of the People Analytics team are part of every step in the HR Service Model.”
FIG 6: Simplified HR Service Model (Source: Jaap Veldkamp)
RICHARD ROSENOW - From Data to Strategy: The New Role of Workforce Systems Leaders in Transforming HR
Without a Workforce Systems Leader, these decisions fall to the CHRO, pulling them into day-to-day inter-functional debates when they should focus on the strategic vision
In Insight222’s recent study, Building the People Analytics Ecosystem, we identified three types of people analytics leader that are emerging as the people analytics operating model continues to evolve. One of these – the Portfolio Analytics leader – has similarities to a trend identified by Richard Rosenow in his new white paper for One Model. The findings are based on more than 40 HR teams hiring a Workforce Systems Leader combining people strategy, operations, technology, data and analytics (see FIG 7). In the paper, Richard covers: (1) Key challenges in people analytics – how the role of people analytics often extends far beyond their original role description. (2) Mastering the People Data Supply Chain – highlighting the essential steps to building a robust people analytics function. (3) The emergence of Workforce Systems Leaders. Read a preview in Richard’s LinkedIn post and download the full paper here.
FIG 7: The role of a Workforce Systems Leader (Source: One Model)
SCOTT ROGERS - People Analytics & HRBPs - Navigating the art of imperfect collaboration | ALDAR NIKOLAEV - People Analytics Recipes: Advancing Employee Turnover Story P.1 | RALF BUECHSENSCHUSS - Becoming a data-driven (HR) organization - Leveraging generative AI to democratize data and insights | PETER MEYLER – How much time do People Analytics teams spend on reporting vs. analytics? | PATRICK COOLEN – The Four Faces of People Analytics | YUYAN SUN - 5 Ways to Use AI in People Analytics Everyday
In each edition of the Data Driven HR Monthly, I feature a collection of articles by current and recent people analytics leaders. These are intended to act as a spur and inspiration to the field. Six are highlighted in this month’s edition. (1) Having worked in both domains, Scott Rogers is well-qualified to explore the dynamics of the HRBP-People Analytics relationship. He presents a framework identifying the key focus areas for people analytics leaders (e.g. championing HR operational excellence) and HRBPs (e.g. engaging with and advocating for people analytics). (2) Aldar Nikolaev provides a practical guide on how to analyse and visualise employee turnover and conduct scenario planning (see FIG 8). (3) Ralf Buechsenschuss offers a practical guide – including videos – to showcase what is already possible when embedding generative AI into the flow of work in the context of people analytics. (4) Peter Meyler presents the findings of his survey, which finds that 48% of people analytics teams spend at least 75% of their time on data and reporting. (5) Patrick Coolen documents the four faces of people analytics practices: the strategist (see FIG 9), the gatekeeper, the specialist, and the designer. (6) Yuyan Sun breaks down five ways to use AI everyday in people analytics:
Don't just use AI as a tool. Use it as a thought partner.
FIG 8: Measuring employee turnover (Source: Aldar Nikolaev)
FIG 9: The Four Faces of People Analytics: The Strategist (Source: Patrick Coolen)
THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE
MARC EFFRON - It’s (Still) the Mortar not the Bricks
Some CHROs are not willing to drive significant change in reducing headcount, upgrading the capabilities of their team or holding their HRLT accountable to “wire” the business properly.
Marc Effron and his team at The Talent Strategy Group cut through the hyperbole to analyse the state of the HR operating model, critique what the consulting firms (EY, Deloitte, Gartner, Mercer and McKinsey) propose and where they fit with the Ulrich Model, and offer guidance on how to structure, upskill and wire your HR operating mode for success. Highlights include Effron’s views that: (1) Dave Ulrich’s model is the reference standard for good HR operating models. (2) That despite statements to the contrary by the consulting firms advocating why the HR operations model needs to change, the world of work remains largely the same. (3) HRBP’s should be fewer in number, stronger in capabilities and deployed against major business units and/or geographies. (4) The future HR service centre will perform a far larger percentage of overall HR work and do at least 80% of this through technology. (5) Companies should create an ‘HR Wiring Team’ to assess where the HR wiring is either not fully developed or isn’t being followed. Effron defines wiring as “Wiring means the agreement among HR team members about how vital processes will flow – the steps, the accountabilities, the technology, etc.” A compulsory read for any chief people officer considering whether to revamp their HR operating model.
FIG 10: People Value Chain (Source: EY)
SHARI CHERNACK AND JONATHAN GORDIN | MERCER - 2024 Voice of the CHRO: Maximizing HR effectiveness in a changing landscape Article | Full Report
While much of the focus and headlines of Mercer’s 2024 Voice of the CHRO report, authored by Shari Chernack and Jonathan Gordin, is understandably on the challenges and opportunities associated with AI (see FIG 11), what really stands out for me is the section on maximising HR’s influence with the C-suite and board. The results demonstrate that HR is increasingly a strategic partner: 56% of CHROs meet with the board every week, 51% report higher levels of C-suite engagement than previous years, and 71% report high alignment on HR and people priorities. Data is increasingly key, with 76% of CHROs believing that using data to showcase HR’s impact on business performance will help drive further engagement with the C-suite and board. The report highlights six key actions for CHROs: (1) Accelerate AI for HR readiness. (2) Drive AI adoption across the enterprise. (3) Strengthen C-suite relationships and alignment. (4) Understand and plan to bolster key skills. (5) Don’t sleep on employee experience. (6) Build your HR team for the future.
Build your HR team for the future. Reshape and develop your team to reflect the cross pressures of increasingly complex demands on HR, including an anticipated need for greater technology and analytical expertise on the team, and the lean HR team size in most organizations.
FIG 11: AI’s anticipated impact (Source: Mercer)
MARK WHITTLE, LIANA PASSANTINO AND MAGGIE SCHROEDER-O’NEAL | GARTNER - Top 5 Priorities for HR Leaders in 2025
Leader and manager development remains the No. 1 priority in 2025 for HR leaders for the third consecutive year, according to Gartner, with organisational culture, strategic workforce planning, change management and HR technology rounding off the top five (see FIG 12). The report (authors: Mark Whittle, Liana Passantino, PhD, and Maggie Schroeder-O’Neal) provides detailed analysis on each of the top five priorities, defining the problem statement and imperative for each along with a case study. My eyes were drawn to the section on Strategic Workforce Planning (SWP) and the rather stark finding that only 15% of organisations currently practice SWP. Guidance is provided on expanding the scope and complexity of SWP through small phases and a powerful case study is provided on Merck (kudos Ruben Groen Alexis Saussinan) (see FIG 13):
Instead of striving for perfection and getting stuck gathering every piece of information available, Merck’s SWP team reduces the complexity of SWP by narrowing their team’s focus to solving a problem, enabling them to take action and drive impact.
FIG 12: Top 5 Priorities for HR Leaders in 2025 (Source: Gartner)
FIG 13: How Merck prioritizes SWP needs by relevance and actionability (Source: Gartner)
ROB BRINER | CORPORATE RESEARCH FORUM - Driving Organisational Performance: HR’s Critical Role
HR functions can and should do more to contribute to organisational performance. But, in order to do this, they need to be able to identify for themselves and in their context what specifically they need to do to help the business meet its strategic objectives.
The purpose of this excellent new report, authored by Rob Briner for the Corporate Research Forum (CRF), is to provide a framework for HR functions to more effectively drive performance – within their own organisational context. There’s lots to unpack in the report, but highlights include: (1) The evaluation of six ways of thinking about how HR impacts organisational performance (see FIG 14). (2) Key questions HR should be able to answer about the business, its strategic objectives, and how HR can help achieve these objectives. (3) Guidance on joining the causal dots between HR practices and strategic objectives. (4) A self-assessment for HR leaders to assess how well their own function contributes to organisational performance. (5) An eight-step process model of how HR can drive organisational performance. For more from Rob Briner, I recommend listening to his conversation with me on the Digital HR Leaders podcast: What is Evidence Based HR and Why is it Important?
FIG 14: Perspectives of how HR contributes to organisational performance and likely value (Source: CRF, Rob Briner)
PwC - Saratoga Annual Benchmarking Report 2024
As the introduction to this report highlights, PwC Saratoga has over 30,000 benchmarks for 1000+ metrics covering a wide variety of HR and workforce topics. This annual report includes benchmarks for 400 organisations across 20 industries including those related to employee attrition, talent attraction, and diversity, equity and inclusion, as well as benchmarks relating to HR and people analytics FTE ratios (see FIG 15 for FTE ratios for business partners and people analytics). Similar to the annual People Analytics Trends study we publish at Insight222, Saratoga finds that people analytics is showing rapid growth in many industries including technology, financial services and manufacturing/engineering.
There is an increasing focus on people analytics as organizations invest deeper into digital capabilities and as the importance of data is elevated across industries.
FIG 15: HR Business Partners and People Analytics FTE ratios 2022 and 2023 (Source: PwC Saratoga)
WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS
JAEJIN LEE - Skill-based Transformation: “Don't Start with Skills, Start with Work!”
Jaejin Lee takes an incredibly thoughtful deep-dive on the shift towards a skills-based organisation. He analyses a number of factors driving this shift including why the consensus is shifting towards skills, the technology changes driving the movement, and the need to start with the work while viewing the transformation through an employee-centric lens. Jaejin also shares two examples from his consulting work of skills-based network analysis (see FIG 16 for example that clusters the company’s employees' skills based on their similar attributes). Finally, Jaejin shares resources from experts including John Boudreau, Ravin Jesuthasan, CFA, FRSA, and Tanuj Kapilashrami, and rounds proceedings off by providing a checklist for companies to conduct a self-diagnosis with regards to skills (see FIG 17). A tour de force.
FIG 16: Using network analysis to group skills with similar attributes into categories (Source: Jaejin Lee.
FIG 17: Skills-based organisational diagnostic self-checklist (Source; Jaejin Lee)
EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING
ETHAN BURRIS, BENJAMIN THOMAS, KETAKI SODHI, AND DAWN KLINGHOFFER - Turn Employee Feedback into Action
Ultimately, success (in employee listening) lies in empowering leaders to translate insights into concrete actions, effectively communicating progress, and fostering a continual feedback loop that values and respects the diverse voices within the organization.
"To manage the employee experience, leaders must deeply understand employees’ perceptions, feelings, and desires and respond thoughtfully. This is particularly crucial when immense resources are invested in gathering employee feedback through pulse surveys, town halls, and data scraping from internal communications. But leaders are often overwhelmed by the data and struggle to translate it into actionable insights." In their Harvard Business Review article, Ethan Burris, Benjamin Thomas, Ph. D, SHRM-CP, Ketaki Sodhi, PhD, and Dawn Klinghoffer, share insights from interviews with more than two dozen companies to outline seven challenges and demonstrate how leading places to work have built an integrated process for assembling and understanding employee input and translating it into action. The seven challenges are: (1) Making sense of all that data. (2) Making sure employees feel heard. (3) Identifying the actual underlying problems. (4) Protecting employee privacy. (5) Navigating conflicting views. (6) Not burying bad news. (7) Providing meaningful follow-up.
STEPHANIE DENINO - Moving Beyond Work as a Black Box: Uncovering & Addressing the Hidden Friction
Work is more than just a black box of outputs—it’s a complex system with hidden friction that we often overlook. In her thoughtful article, Stephanie Denino, Managing Director at TI PEOPLE, examines the consequences of treating work like a black box. She breaks down the core components that make up work: “(1) a worker that is (2) trying to do something (key activities or moments of their work experience), in which (3) they interact with things like technology, people, and processes” (see FIG 18). Stephanie identifies that by capturing data on how work unfolds from the worker’s perspective, leaders can better identify and reduce work friction, ensuring productivity gains and enhancing employee satisfaction. The article presents strategies to move beyond surface-level metrics and focus on the intricate moments of work that truly drive business outcomes.
FIG 18: Work can be broken down into three components (Source: Stephanie Denino)
LEADERSHIP, CULTURE, AND LEARNING
MCKINSEY - Going all in: Why employee ‘will’ can make or break transformations
For a company undergoing transformation, cultivating employee “will” to change the way it operates is critical for success.
Writing for McKinsey, Dominic Skerritt, John Parsons, Mary Lass Stewart, Matthew Schrimper, and Nicolette Rainone, Ph.D. highlight the people element of successful transformations. They set out a three step-process (see FIG 19): Elevate, empower, energize to cultivate employees’ will to drive transformation. (1) Elevate a strong core of employees across all levels to lead the transformation. (2) Empower a broad coalition of change leaders to embody new ways of thinking and working. (3) Energize all employees to transform.
FIG 19: Organisations can galvanise a workforce’s will to transform with three actions (Source: McKinsey)
CONSTANCE NOONAN HADLEY AND SARAH L. WRIGHT – We’re Still Lonely at Work
In recent years, the huge impact that work loneliness is having on healthcare costs, absenteeism, and turnover has received widespread attention. Despite growing awareness, the problem remains, with one in five employees worldwide feeling lonely at work. In their article for Harvard Business Review, Connie Noonan Hadley and Sarah Wright debunk myths about work loneliness, such as the belief that in-person work or team assignments can solve the issue. They provide guidance on seven actions companies can take to put loneliness on the agenda: (1) Measure loneliness (see FIG 20); (2) Design slack into the workflow; (3) Create a culture of connections; (4) Build socialising into the rhythm of work; (5) Keep social activities simple; (6) Maximise each work mode for connection; (7) Actively recruit participants.
FIG 20: A tool for measuring work loneliness (Source: Constance Noonan Hadley and Sarah L. Wright)
DIVERSITY, EQUITY, INCLUSION, AND BELONGING
McKINSEY AND LEANIN.ORG – Women in the Workplace: The 10th Anniversary Report
Organizational change is a marathon, not a sprint, and making meaningful strides for women requires both hope and resilience. When leaders create a compelling vision of what’s possible, workplaces are better equipped to drive and sustain progress.
Despite progress over the past decade, parity for all women in the workspace is almost 50 years away according to the 10th Women in the Workplace report by McKinsey and Leanin.Org. At the current trajectory, it will take 22 years for white women to achieve leadership parity—and more than twice as long for women of colour (see FIG 21). As ever, the report is an absorbing read with part 4, A Data-Driven Approach to Solutions, being required reading for people analytics professionals. In terms of implementing consistent processes, the report recommends four key building blocks: (1) making sure employees understand why a new practice is important; (2) teaching employees the skills they need to do their part; (3) putting mechanisms in place to support the practice; and (4) ensuring leaders role model the right behaviours. Finally, the report also provides guidance on tackling three areas that are especially important for advancing women and fostering inclusion: (1) De-biasing hiring and promotion (see FIG 22); (2) Inspiring and equipping employees to curb bias and practice allyship; and (3) Unlocking the power of managers to influence careers and team culture. Kudos to the authors: Alexis Krivkovich, Emily Field, Lareina Yee, and Megan McConnell, with Hannah Smith.
FIG 21: It will take nearly 50 years to achieve gender parity for all women (Source: McKinsey)
FIG 22: Research based tips for making hiring and performance reviews fairer (Source: McKinsey)
HR TECH VOICES
Much of the innovation in the field continues to be driven by the vendor community, and I’ve picked out a few resources from October that I recommend readers delve into:
LOUJAINA ABDELWAHED, LISA K. SIMON, TOBY CULSHAW, AND REMY GLAISNER - Stuck in Neutral: Why Employees are Staying Put – Loujaina Abdelwahed, PhD, Lisa K. Simon, Toby Culshaw, and Remy Glaisner highlight Revelio Labs data finding that employee attrition rates are at their lowest in a decade. They explore the reasons for this and outline the conditions that would return attrition rates to their long-term average e.g. an increase in demand (15% increase in job postings), combined with 10% higher salaries and a tighter labour market (job postings taking 10% longer to fill).
FIG 23: The decline in attrition in 2024 is unexplained by common factors (Source: Revelio Labs)
DIDIER ELZINGA AND AMY LAVOIE - Research: The Long-Term Costs of Layoffs – Didier Elzinga and Amy Lavoie share the findings of a study by Culture Amp to understand the impact of company layoffs on employee engagement. These include: (1) After layoffs, companies see a significant drop in employee experience in many key areas. (2) High employee engagement prior to layoffs won’t protect you from the negative impact of doing layoffs. (3) Recovery takes time (see FIG 24).
FIG 24: Change in favourability from pre-layoff (Source: Culture Amp)
FRANCISCO MARIN - The Power of Collaborative Freedom: Aligning Interests, Collaborators, and Schedules – Francisco Marin of Cognitive Talent Solutions explains how collaborative freedom, which he sees as the underlying principle of a network-first future of work, discusses how the key facets of collaborative freedom – from increased autonomy and cross-functional cooperation to enhanced transparency - contribute to creating a more effective, agile, and rewarding work environment, “where employees are motivated not just by individual success but by the shared goals and achievements of the organization.”
VISIER - Visier's Top 50 HR Leaders To Watch in 2025 – It’s a nice move (and a clever marketing one!) by Visier Inc. to highlight a group of their data-driven innovator clients. It’s certainly good to see the likes of Adam McKinnon, PhD., Angela LE MATHON, Jeremy Shapiro, Katherine Ward, Doug Shagam, Poonam Sirigidi, Julien Legret, Annalyn Jacob, Ph.D., Erik Otteson, Shannon Rutledge, Kai Wehmeyer, Jill Larsen, Ian Bailie, Alan Susi, and Scott Judd get some well-deserved recognition.
PODCASTS OF THE MONTH
In another month of high-quality podcasts, I’ve selected six gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below):
MARK PRICE AND BRUCE DAISLEY - Can happy workers improve your company results? – Mark Price, former CEO at Waitrose, joins Bruce Daisley on the consistently excellent Eat Sleep Work Repeat to discuss the business benefits of investing in happy employees. The episode features a powerful example of how after acquiring Somerfield, and focusing on motivating the inherited workforce, Mark was able to reduce employee turnover from 75% to 17% within months.
ETHAN BERNSTEIN AND MICHAEL HORN - The Real Reasons Employees Quit — and How to Retain Them – Ethan Bernstein and Michael Horn join Alison Beard on HBR IdeaCast to share their research on employee turnover, which points to a host of push and pull forces that cause workers to jump ship, and also outlines better retention strategies.
NICK LYNN - “Small Changes Can Add Up To Something Big” – Culture, Change Management and the Employee Experience – Nick Lynn joins Mike Petrusky on the Workplace Innovator podcast to discuss the current world of the workplace and how leaders can build a culture of trust and higher engagement
BRYAN HANCOCK AND EMILY FIELD - Will generative AI hurt middle managers—or help them? – In an episode of The McKinsey Podcast, together with host Lucia Rahilly, Emily Field and Bryan Hancock revisit their book, Power to the Middle: Why Managers Hold the Keys to the Future of Work, one year on to share how middle managers can use gen AI to support their teams more effectively—and update their image while they’re at it.
KELLY MONAHAN - What trends will have the most impact on the future of work? – Kelly Monahan, Ph.D. joins host JP Elliott, PhD on The Future of Work Podcast to discuss the key trends that are impacting the future of work including why she believes that the skills-based organisation movement is stuck in the theory phase and the challenges it faces in implementation.
GREG PRYOR - Why Social Network Perspective Matters – Greg Pryor joins Stacia Sherman Garr and Dani Johnson on Workplace Stories to share how social capital—our connections and relationships—drives business outcomes, sparks innovation, and boosts career growth. Listen to Greg, and then tune in to his sparring partner, Michael Arena, on the Digital HR Leaders podcast: What the Impact of Distributed Work on Organisational Networks Tells Us About the Future of Talent Management.
VIDEO OF THE MONTH
NICKLE LAMOREAUX - How IBM Uses AI to Transform HR
In celebration of IBM's CHRO Nickle LaMoreaux recently being recognised as HR Executive of the Year, this month's Video of the Month features Nickle in discussion with me earlier this year on the Digital HR Leaders podcast where she shares how IBM is pioneering the use of AI in HR, and how this is revolutionising its approach to talent management, employee engagement, and predictive analytics.
BOOK OF THE MONTH
YUVAL NOAH HARARI - Nexus
While I was on my travels at People Analytics World in New York and then Unleash World in Paris, at least ten people I respect told me that I simply had to read Nexus, the new book by Sapiens author Yuval Noah Harari. So, I ordered it in time to take with me to the US the week after Unleash – and they were right. It’s brilliant. It’s basically the story of how information networks have made, and unmade, our world. With the opportunity – and threat of AI – this is a book everyone in our field should read. Rory Stewart describes Nexus as: “Bold, original, erudite, provocative and entrancing,” and I couldn’t agree more.
RESEARCH REPORT OF THE MONTH
ALEXIS FINK AND COLE NAPPER - The World of HR Is Changing Rapidly: I-O Psychology Can Help – In their new paper for Society for Industrial and Organizational Psychology (SIOP), Alexis Fink and Cole Napper, people analytics leaders at Meta and FedEx respectively, break down the role of the industrial-organisational (IO) psychologist, and how they are helping organisations to manage the transformation being driven by advancements in artificial intelligence, emerging technologies, and evolving cultural landscapes. Insight222 ’s research on Leading Companies in People Analytics, identified I/O psychology as one of three key skills these companies are focused on hiring, developing and retaining to drive success (along with data scientists, and consultants), so this paper is an important read for chief people officers looking to advance their people analytics function.
FROM MY DESK
October saw the final episode of Series 41 of the Digital HR Leaders podcast, sponsored by Visier Inc. (thanks Adedamola Adeleke), and the first three episodes of Series 42, sponsored by Workday (thanks Sophie Barnes and Jennifer Neumann) as well as a number of articles penned by yours truly.
Key Learnings from Unleash World 2024 – My key learnings from the main stage at the recent Unleash World show in Paris - together with the slides I used to kick off the event.
Key Learnings from Insight222 Global Executive Retreat 2024 Insights: Shaping the Future of People Analytics – My key learnings from the recent 7th Annual Insight222 Global Executive Retreat, which features learnings from speakers including: Janine Vos , Prasad Setty, and Erin Meyer.
How can workforce analytics enhance HR decision-making and drive business success? – A round-up of Series 41 of the Digital HR Leaders podcast, with insights from episodes featuring: Diane Gherson, Lynda Gratton, Angela LE MATHON, Keith Bigelow, Tanuj Kapilashrami and Ravin Jesuthasan, CFA, FRSA.
Three ways to Upskill HR in Data Literacy – The team at Workday shared a summary of insights from my recent speech at Rising on how to improve the data literacy of HR professionals.
SHARON TAYLOR AND JACO VAN VUUREN - Digitising HR for 55,000 Employees: Lessons from Standard Bank – Sharon Taylor, Chief People and Culture Officer, and Jaco Van Vuuren, Chief Operating Officer for Human Capital, join me to share the HR transformation journey at Standard Bank.
MICHAEL FRACCARO - How Mastercard is Using AI to Drive Employee Success and Leadership Growth – Michael Fraccaro , Chief People Officer at Mastercard, shares how the company is using AI across HR, building a skills-based organisation, and how their Culture Health Index helps shape discussion and decisions with the Board.
MICHAEL ARENA - What the Impact of Distributed Work on Organisational Networks Tells Us About the Future of Talent Management – Michael Arena joins me to discuss what the latest research on network analysis teaches us about hybrid working, team sizes, and the importance of social capital.
JASON SCHECKNER - How Talent Orchestration Connects AI Investments to Real Business Results – Jason Scheckner of HiredScore by Workday joins me to discuss how talent orchestration is the key to unlocking AI’s full potential and transforming HR operations into a strategic powerhouse.
LOOKING FOR A NEW ROLE IN PEOPLE ANALYTICS OR HR TECH?
I’d like to highlight once again the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which now numbers close to 500 roles – and has now been developed into a LinkedIn newsletter too.
THANK YOU
Nick Broughton for including me in his list of remote work leaders to follow.
Thomas Kohler for including the Digital HR Leaders podcast episode with Michael Fraccaro in his HR Resources of the Week.
Thinkers360 for including me in their Top Voices EMEA 2024.
Elaine Parr for sharing the Digital HR Leaders podcast episode with Nickle LaMoreaux on how IBM is pioneering the use of AI in HR.
Olimpiusz Papiez for his thoughtful learnings about the Digital HR Leaders podcast episode with Jason Scheckner.
Sven Hultin for publishing his analysis of Insight222's recent research on the People Analytics Operating Model: Democratizing workforce insight in a relevant context fuels adaption towards future relevance.
Stela Lupushor for inviting me to moderate a panel at the recent New York Strategic HR Analytics MeetUp on Workestration and Neeru Monga (here), Tony Ashton (here), Ekta Lall Mittal (here), Anna A. Tavis, PhD (here) and Olivia Li (here) for their LinkedIn posts sharing some of the key learnings and pictures from the event.
Finally, a huge thank you to the following people who either shared the September edition of Data Driven HR Monthly and/or posted about my sessions at Unleash, People Analytics World, and Workday Rising. It's much appreciated: Craig Forman, Zornitza Iankova, SPHR, Brandon Merritt Johnson, Hrvoje Bulat, Rebecca Hone, Emma Mercer (Assoc CIPD, MLPI), Dr. Max Muge Bakkaloglu, Kerron Ramganesh, Kristina Schoemmel, Perri Ma, Justin Shemeley, Kelly Satterfield, Luis Maria Cravino, Zina Al Taie, MBA, Joachim Rotzinger, Tobias W. Goers ツ, Anna Gullstrand, Ian Bailie, John Guy, Ouarda Guergour, Markus Graf, Sydney Dolanch, Noam Mordechay, Dorothy Dalton, Victoria Holdsworth, Nima Sherpa Green, ✅ Sarah E. Danzl Nirit Cohen ?, Andrew Pitts, Pierre Dejonghe, Jane Bech, MA-OP, CODP, Shannon Peterson, Nicole Davis, Davina Erasmus, Blaine Ames, David Balls (FCIPD), Dan George, Amardeep Singh, MBA, Yotam Ainom, Roshaunda Green, MBA, CDSP, Phenom Certified Recruiter, Henrik Håkansson, Kouros Behzad, Marijana Brasiello, MHRM, Catriona Lindsay, Adam Tombor (Wojciechowski), María Esther Sánchez, Silvia Schleiffer-Gouveia, Rajarshee Mukherjee, Volker Jacobs, Laszlo Bock, Daniel Farrell, Kevin Legel, Aravind Warrier, Lewis Garrad, Francisca Solano Beneitez, Jose Luis Chavez Vasquez, Dr. Jeeta Sarkar, Jorge Arevalo, Andreea Lungulescu, Maria Alice Jovinski, Philip Arkcoll, Corine Boon, Pietro Mazzoleni, Dave Millner, Bob Pulver, Wayne Tarken, David McLean, Swechha Mohapatra (IHRP-SP, SHRM-SCP, CIPD), Aurélie Crégut, David van Lochem, Vivek Ojha, Hanadi El Sayyed, Phil Kirschner, David Hodges, Jean-Francois Riand, Malgorzata Langlois, Shujaat Ahmad, Graham Tollit, Sebastian Kolberg, Phil Inskip, Sebastian Knepper, Caitie Jacobson, Asaf Jackoby, Melissa Hopper Fritz, Stephanie Murphy, Ph.D. Paul Daley, Stephen Hickey, Sarajit Poddar, Søren Kold, Jacob Nielsen, Dolapo (Dolly) Oyenuga, Manisha Singh, Monalisa Routray, Courtney McMahon, Irada Sadykhova, Geetanjali Gamel, Dave Fineman, Megan Buttita, MLIS, Mariana Hebborn PhD, Rob Kok, Keran Dhillon, Alex Browne, Chris Long, Pedro Pereira, Gal Mozes, PhD, Aritra Majumdar, Mia Norgren, Matthew Fleisher, PhD, Matt Elk, Christina Bui, Agnes Garaba, Laurent Reich, Jeff Wellstead, Danielle Bushen, Nick Hudgell, Jordan Hartley, John Gunawan, Casey G. Brower, PMP, Serena H. Huang, Ph.D., Bo Vialle-Derksen, Trish Uhl, PMP ??, Ken Clar, Isabel Naidoo, Mariami Lolashvili, Sophia Huang, Ed.D., Philippa Penfold, Sonia Mooney, Ian Grant FCIPD, Dr. Peter Schulz-Rittich, Irene Wong, Tim Peffers, Marcela Mury, Andrés García Ayala, Giovanna Constant, John Golden, Ph.D. Tanguy Dulac
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 2024 and early 2025:
November 19-20 - Insight222 European Peer Meeting (hosted by Merck in Darmstadt, Germany) - exclusively for member organisations of the Insight222 People Analytics Program
December 5 - Visier Outsmart Local - Building Your People Data Strategy, London
December 10-12 - Workday Rising EMEA, Amsterdam
February 26-27 - People Analytics World, Zürich
April 29-30 - People Analytics World, London
More events will be added as they are confirmed.
主要作者和贡献者：
David Green - Insight222的管理合伙人，专注于HR数据分析和未来工作趋势。
Eric Anicich 和 Dart Lindsley - 探讨“将工作视为产品”的方法。
Nicholas Bloom, James Liang, Ruobing Han - 基于Trip.com的混合办公A/B测试研究。
Michael Arena 和 Philip Arkcoll - 关于协作的重要性，倡导“协作要求”而非“办公要求”。
Hean-Ho Loh, Vinciane Beauchene, Vladimir Lukic, Rajiv Shenoy - 来自波士顿咨询公司（BCG），探讨AI技能提升的关键因素。
Kai Hahn - 智能企业领袖联盟的报告撰写者，探讨AI在HR中的应用。
Jaap Veldkamp - ABN AMRO的全球HR数据分析负责人。
Richard Rosenow - Insight222的一份研究报告撰写者，讨论HR系统的演变。
Scott Rogers, Aldar Nikolaev, Ralf Buechsenschuss, Peter Meyler, Patrick Coolen, Yuyan Sun - 各自讨论了HR数据分析在不同领域的应用。
Marc Effron - The Talent Strategy Group创始人，专注于HR运营模式。
Shari Chernack 和 Jonathan Gordin - Mercer的CHRO报告作者，探讨HR的战略角色。
Mark Whittle, Liana Passantino, Maggie Schroeder-O’Neal - 来自Gartner，讨论2025年HR的五大优先事项。
Rob Briner - Corporate Research Forum的作者，提供了HR推动组织绩效的框架。
Jaejin Lee - 探讨技能导向的组织转型。
Ethan Burris, Benjamin Thomas, Ketaki Sodhi, Dawn Klinghoffer - 在Harvard Business Review中讨论如何将员工反馈转化为行动。
Stephanie Denino - TI People的总监，讨论工作中隐藏摩擦的影响。
Dominic Skerritt, John Parsons, Mary Lass Stewart, Matthew Schrimper, Nicolette Rainone - McKinsey作者，探讨组织变革中的员工意愿。
Constance Noonan Hadley 和 Sarah L. Wright - 研究工作中的孤独感。
Alexis Krivkovich, Emily Field, Lareina Yee, Megan McConnell, Hannah Smith - 来自McKinsey和LeanIn.Org的性别平等报告的作者。
Loujaina Abdelwahed, Lisa K. Simon, Toby Culshaw, Remy Glaisner - Revelio Labs的数据分析师，研究员工流动率。
Didier Elzinga 和 Amy Lavoie - Culture Amp的研究人员，探讨裁员的长期影响。
Francisco Marin - Cognitive Talent Solutions的代表，关于协作自由的重要性。
Adam McKinnon, Angela LE MATHON, Jeremy Shapiro, Katherine Ward, Doug Shagam, Poonam Sirigidi, Julien Legret, Annalyn Jacob, Erik Otteson, Shannon Rutledge, Kai Wehmeyer, Jill Larsen, Ian Bailie, Alan Susi, Scott Judd - Visier公司列出的2025年HR领导者。
Mark Price 和 Bruce Daisley - 在Eat Sleep Work Repeat上探讨员工幸福感的影响。
Ethan Bernstein 和 Michael Horn - HBR IdeaCast上的嘉宾，讨论员工流失的原因。
Nick Lynn - Workplace Innovator的嘉宾，讨论文化和员工体验。
Bryan Hancock 和 Emily Field - 在McKinsey Podcast上讨论生成式AI对中层管理的影响。
Kelly Monahan - The Future of Work Podcast的嘉宾，讨论未来工作的关键趋势。
Greg Pryor - Workplace Stories的嘉宾，讨论社交资本的影响。
Nickle LaMoreaux - IBM的CHRO，讨论AI在HR中的应用（视频）。
Yuval Noah Harari - 其新书《Nexus》被推荐阅读，探讨信息网络对世界的影响。
Alexis Fink 和 Cole Napper - I-O心理学家，探讨心理学在HR转型中的作用。
David Green:The best HR & People Analytics articles of August 2024
I’ve just returned from a three-week family holiday in the South of France and am feeling refreshed, recharged and ready for the final four months of the year. These are invariably the busiest for the team at Insight222, and 2024 is set to be no different.
The Digital HR Leaders podcast returns from its summer sojourn on September 3 with a special episode on how HR can help their organisations embrace the blended workforce, featuring Diane Gherson and Lynda Gratton, and based on their brilliant recent HBRarticle,
The Insight222 Global Executive Retreat, which we host annually for leaders of 100+ companies that are part of the Insight222 People Analytics Program, takes place in Amsterdam from September 24-26 with guest speakers including: Erin Meyer, Prasad Setty, Janine Vos, and a workshop on storytelling with Duarte, Inc..
The fifth annual Insight222 People Analytics Trends report, which studies how leading companies are using people analytics to generate business value will be published in October – you can read the 2023 study here.
Additionally, I will be speaking at a number of conferences before the end of the year including Workday Rising (Las Vegas, September 16-19), People Analytics World (New York, October 2-3), UNLEASH World (Paris, October 16-17), and Workday Rising EMEA (London, November 12-14).
This edition of the Data Driven HR Monthly is sponsored by our friends at 365Talents
365Talents goes beyond traditional approaches, offering more than just technology for Skills-Based Organizations. Our approach is not just about managing skills; it's about making the entire process seamless, effective, and enjoyable. Picture real-time insights into your workforce's skills, coupled with the expertise to implement strategic HR projects aligning with your business goals.
Our experience in talent mobility and skill development contribute to creating a more democratic, inclusive, and future-ready world of work where every individual has the power to shape their professional path. Start your skills journey with 365Talents today and join the ranks of trailblazers like Veolia, SLB, TotalEnergies, SocGen, and more! To find out more click here: https://www.365talents.com/en/lp/experience-365talents
2024 Skills Impact Report
In today’s fast-paced and increasingly disruptive environment, companies need to adopt a more flexible approach that puts its people and their skills at the center of its talent management strategies. This has become more and more imperative as:
59% of the global workforce are disengaged.
69% of job candidates say they would reject a job offer from an employer with a negative reputation, even if they were unemployed.
87% of organizations currently have an existing skills gap or expect to within the next two to ten years.
Enter the 2024 Skills Impact Report. It explores the business imperative of talent experience for Skills-Based Organizations, the impact it has on your employees, the pillars of design thinking for HR and how to start applying it to your strategy with 5 intuitive roadmap worksheets.
CASE STUDY: SEGULA Technologies Group
In 2020, as the world faced significant engineering transformations, the COVID crisis, talent shortages, and the rise of AI, SEGULA Technologies Group launched a strategic initiative to plan and manage the resources and skills of its workforce. The goal of this ambitious project was to identify and leverage the talents of the Group's 15,000 employees across 30 countries, using AI to drive innovative skills management and enhance overall performance.
Read the Case Study to learn all the steps and actions taken to successfully tackle the challenge!
To sponsor an edition of the Data Driven HR Monthly, and share your brand with more than 130,000 Data Driven HR Monthly subscribers, send an email to dgreen@zandel.org.
Share the love!
Enjoy reading the collection of resources for August and, if you do, please share some data driven HR love with your colleagues and networks. Thanks to the many of you who liked, shared and/or commented on July’s compendium.
If you enjoy a weekly dose of curated learning (and the Digital HR Leaders podcast), the Insight222 newsletter: Digital HR Leaders newsletter is published every Tuesday – subscribe here.
NEW: Insight222 research report on the People Analytics Ecosystem
Access the new Insight222 study here: Building the People Analytics Ecosystem: Operating Model v 2.0.
HYBRID, GENERATIVE AI AND THE FUTURE OF WORK
MCKINSEY - Gen AI’s next inflection point: From employee experimentation to organizational transformation
HR plays an especially important role in gen AI, both by transforming the people domain and by acting as a gen AI copilot for all employees. One executive noted that for every $1 spent on technology, $5 should be spent on people.
A new study by McKinsey finds that to generate value from the momentum associated with GenAI, businesses must transform their processes, structures, and approach to talent. The article, penned by Charlotte Relyea, Dana Maor, Sandra Durth, and Jan Bouly, outlines the key findings from the research: (1) Employee use is at an inflection point, while their organisations lag behind. (2) The next inflection point will see organisations shift from individual experimentation to strategic value capture. (3) Reinvent domains by translating vision into value. (4) Reimagine talent and skilling by putting people at the centre (see FIG 1). (5) Reinforce the changes to continue transforming (“To make gen AI changes stick, organizations need the right infrastructure to support continuous change and win over hearts and minds”).
FIG 1: Early adopters prioritise talent and the human side of GenAI more than other companies (Source: McKinsey)
DAVE ULRICH - How are You Doing at AI for HR? A Ten-Item Assessment to Evaluate Your Progress
Getting started in AI for HR often begins with initiatives that can be done relatively quickly and easily.
Dave Ulrich shares key takeaways from a recent deep-dive, he and his colleagues at The RBL Group facilitated with senior HR leaders on AI in HR. He distils these into ten dimensions designed to help HR leaders assess how they are doing at applying AI for HR to their organisation (see FIG 2). These include: (1) Articulate a business case. (2) Develop Talent who can ‘do’ AI. (3) Create Responsible AI policies. (4) Create metrics to guide and measure success. (5) Start with low-hanging fruit.
FIG 2: Criteria to evaluate how well your organisation is using AI for HR (Source: Dave Ulrich)
DUNCAN HARRIS AND KATE ZOLNER - 5 Employee Fears of AI and How to Overcome Them
If companies want to get the most out of AI, they need employee trust. Securing it is not easy. More than three-quarters of employees don’t think their organization’s future use of the technology will be ethical.
Duncan Harris and Kate Zolner present the findings of Gartner research on the five main employee fears of AI use by their organisations (see FIG 3), which have a negative impact on employee trust. They then explain how leaders can address these fears through initiatives in areas such as learning, co-creation, effective communications, ethics and data privacy. As well as enabling the organisation to benefit from AI, Harris and Zolner argue that these solutions will lead to higher levels of inclusion, engagement and effort.
FIG 3: Five Employee Fears of Organizational AI Use (Source: Gartner)
STACIA GARR - How is HR using Gen AI today? | MAX BLUMBERG - GenAI in HR: Slashing Costs, Boosting Efficiency | SWANAND DEODHAR, FAVOUR BOROKINI, AND BEN WABER - How Companies Can Take a Global Approach to AI Ethics | BAIN - AI Survey: Four Themes Emerging
Four more resources tracking topics related to GenAI in HR. (1) Stacia Sherman Garr’s LinkedIn post summarises RedThread Research analysis of how HR is using GenAI today (see FIG 4). (2) Max Blumberg (JA) ?? provides a summary of his report on Slashing HR Costs: The Ultimate Blueprint for Implementing GenAI in HR, which provides guidance on implementing GenAI to transform HR cost efficiency, and includes Max’s GenAI HR Cost Reduction Maturity Model (see FIG 5). (3) Ben Waber teams up with Swanand Deodhar and Favour Borokini in a Harvard Business Review article offering guidance on how companies can take a global approach to AI ethics: “Because AI and related data regulations are rarely uniform across geographies, compliance can be difficult. To address this problem, companies need to develop a contextual global AI ethics model that prioritizes collaboration with local teams and stakeholders and devolves decision-making authority to those local teams.” (4) Gene R., Sanjin Bicanic, Jue Wang, Richard Lichtenstein, and Arjun Dutt share the four key themes that emerged from Bain’s recent AI survey, which includes that the emphasis has shifted from experimentation in 2023 to delivering real value 12 months later – thanks to Hung Lee for sharing Bain’s research in a recent edition of Recruiting Brainfood.
FIG 4: How HR is using GenAI (Source: RedThread Research)
FIG 5: GenAI HR Cost Reduction Maturity Model (Source: Max Blumberg)
MARC EFFRON - Above the Fray: What We Know About How WFH and Hybrid Affect Work
We should approach solving this problem in the same intelligent way as we suggest all human problems be solved – start with the science.
As his article on skills-based organisations testified, Marc Effron has a penchant for cutting through the hype and getting to the heart of an issue. As such, I highly recommend digging into his new analysis on what the science and evidence says are the trade-offs among WFO, WFH and hybrid work. Firstly, Effron dispels four myths propagated by proponents and opponents on CEOs, real estate, proximity bias and employees who prefer WFH. Then he examines the consequences of different work arrangements on (1) performance, (2) creativity, (3) innovation (4) work relationships, (5) collaboration, and (6) managing based on the emerging knowledge available via Google Scholar.
LYNDA GRATTON - Seven Truths About Hybrid Work and Productivity | BRIAN ELLIOTT - Hybrid Work: How Leaders Build In-Person Moments That Matter | REBECCA KNIGHT - 17 Team-Building Activities for In-Person, Remote, and Hybrid Teams
To get the most from hybrid work, leaders should prepare for trade-offs, make expectations clear, and think harder about how productivity is measured.
Three more resources on hybrid work to read in conjunction with Marc Effron’s article above. First, Lynda Gratton unveils seven key findings from what she is seeing from experiments in hybrid working including: (1) Hybrid work is a continuum. (2) Productivity is usually challenging — and measurement is always complex. (3) It’s useful to view hybrid work as fundamentally a job design option. Second, Brian Elliott provides guidance on the four essential times leaders should be intentional about building moments that matter for hybrid workers: (1) Team development (“Get people together three or four times a year, with a 50-50 mix of business and social”). (2) Onboarding and training. (3) New-team formation and major-initiative kick-offs (“Grapple together over the objectives and norms of a project”). (4) Business-function-specific activities (“Let teams figure out the best in-person schedules for their needs”). Finally, Rebecca M. Knight provides guidance to leaders on team-building activities for in-person, remote and hybrid teams.
FIG 6: Focus on Productivity, Not Physical Presence (Source: Brian Elliott, Future Forum)
PEOPLE ANALYTICS
NAOMI VERGHESE, JONATHAN FERRAR, AND JORDAN PETTMAN - Building the People Analytics Ecosystem: Operating Model v2.0 ARTICLE | FULL REPORT
One of the questions we get asked most by the people analytics leaders and chief people officers we work with at Insight222 is: What capabilities do I need to build into our people analytics function? Based on research of more than 250 companies, focus interviews with 20 organisations, and our experience of working with more than 120 global companies as part of the Insight222 People Analytics Program, my colleagues Naomi Verghese, Jonathan Ferrar and Jordan Pettman have developed a new report: Building the People Analytics Ecosystem: Operating Model v 2.0. The executive article provides a summary of the key highlights, while the full report breaks down the six elements of the People Analytics Ecosystem (see FIG 7): (1) A Value Chain: from client drivers to business outcomes. (2) People Strategy at the Centre: a symbiotic relationship exists between people strategy and people analytics. (3) Five Core Capabilities: consulting, data science and research, employee listening, analytics at scale, adoption. (4) Four Additional Capabilities: reporting, data governance, workforce planning, AI strategy. (5) Internal Partnerships: HR and other business stakeholders are key to operational effectiveness. (6) External Partnerships: external suppliers and expertise are important for enabling success.
FIG 7: The People Analytics Ecosystem (Source: Insight222 Building the People Analytics Ecosystem: Operating Model v 2.0)
NELSON SPENCER - Introducing the S.T.A.R.T. Framework
The strategy pillar is all about aligning with your overall HR and Business goals. You should be able to connect how your strategy is driving business outcomes.
Nelson Spencer, who has worked in both sports and people analytics, presents his S.T.A.R.T Framework (see FIG 8), which is designed to solve a perennial problem for many HR functions: the disconnect between analytics, technology and operations. As Nelson explains, S.T.A.R.T has been designed “to consider these three critical functions holistically, acknowledging that they are part of a bigger puzzle and are all deeply interconnected.” The five pillars, which Nelson describes in detail in his article, are: (1) Strategy, (2) Technology, (3) Analytics, (4) Results, and (5) Transformation. He then provides guidance on how to implement the framework in organisations of varying sizes, from small to large.
FIG 8: The S.T.A.R.T Framework (Source: Nelson Spencer)
MICHAEL LUCA AND AMY EDMONDSON - Where Data-Driven Decision-Making Can Go Wrong
When making decisions (using data), managers should consider internal validity—whether an analysis accurately answers a question in the context in which it was studied. They should also consider external validity—the extent to which they can generalize results from one context to another.
Drawing on their research and work with companies, Michael Luca and Amy Edmondson present an approach that considers internal validity and external validity that leaders can apply to discussions of data to support better decision-making. This approach is designed to help leaders avoid five common pitfalls (see FIG 9) associated with data-driven decision-making.
FIG 9: How to avoid predictable errors (Source: Michael Luca and Amy Edmondson)
WILLIS JENSEN - Building a Network View of Data | MARTHA CURIONI - Supporting HR Adoption of People Analytics | JACKSON ROATCH - Your Best Career Move could be Going for a Run | SERENA HUANG - The Future of Work is Wellbeing | JASPAR SPANJAART - How NVIDIA's Talent Intelligence approach helped fuel its trillion-dollar rise | TOBY CULSHAW - The Talent Nexus: Redefining Business Agility for the 21st Century CEO
In each edition of the Data Driven HR Monthly, I feature a collection of articles by current and recent people analytics leaders. These are intended to act as a spur and inspiration to the field. Six are highlighted in this month’s edition. (1) In another excellent edition of his Making People Analytics Real blog, Willis Jensen discusses how to get a network view of data: “Linking your data together should be a top priority for any people analytics team.” (2) Martha Curioni provides guidance on how to support HR to adopt people analytics harnessing insights from the likes of Isabel Naidoo, Patrick Coolen, Greg Newman, and Amit Mohindra. One of Martha’s tips focuses on the importance of including HRBP’s rather than going around them. (3) As someone whose best ideas invariably come when I’m on a run, I particularly enjoyed Jackson Roatch’s article exploring the link between physical exercise and workplace learning, performance and thriving. (4) In an edition of her From Data to Action blog, Serena H. Huang, Ph.D. explores how AI can support wellbeing and lays out a ten-point plan on responsible AI principles for workplace wellbeing (see FIG 10). (5) NVIDIA’s Meta McKinney, MLIS and Nickolas Dowler, MBA explain to Jasper Spanjaart how the company’s Talent Intelligence strategy helped fuel its growth: “A winning Talent Intelligence strategy requires several key ingredients: data-driven and tested theories, meticulous and thoughtful research, reliable data, creative problem-solving, clear communication of the rationale, trusted relationships with business leaders, and the financial support and freedom to execute.” (6) Toby Culshaw provides a compelling breakdown of what he describes as The Talent Nexus: “The Talent Nexus represents a revolutionary approach to talent management and acquisition in the modern business landscape. It's an AI-driven, quantum-computing-enhanced ecosystem that transforms how organizations interact with, deploy, and develop talent.” A must-read for all those involved in talent intelligence, people analytics and workforce planning.
FIG 10: Responsible AI Principles for Workplace Wellbeing (Source: Serena Huang)
THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE
RAVIN JESUTHASAN - The AI revolution is coming to L&D
AI will empower the L&D function to support strategic workforce planning through skills-related insights and interventions. This will help organizations shift from costly ‘churn and burn’ strategies to more cost-effective and sustainable reskilling and upskilling programs.
Ravin Jesuthasan, CFA, FRSA examines how AI is set to transform the learning and development function. He highlights Mercer analysis that finds that AI and automation will likely augment some L&D activities (see FIG 11), as well as outlining four potential AI uses cases for corporate L&D: (1) Producing L&D content. (2) Personalising L&D delivery. (3) Driving the skills-powered revolution. (4) Democratising knowledge. For more from Ravin, watch the recent LinkedIn Live on Skills-Powered Organisations in the Age of AI, which I moderated and featured Ravin alongside Tanuj Kapilashrami.
FIG 11: Time by task: L&D versus AI and Automation (Source: Mercer)
NANCY DUARTE - Are Your Presentations Too Emotional — or Too Analytical?
When making a presentation, leaders need to balance appeals to both logic and emotion — the head and the heart.
Nancy Duarte provides invaluable guidance on how to strike a balance between logic and emotion when making a presentation, and how credibility plays a crucial role in this balancing act. She explains that the first step in achieving this balance is understanding the audience: “Are they data-driven decision makers who thrive on statistics and factual evidence? Or are they more likely to be swayed by personal stories and emotional connections?”
FIG 12: An Analytical and Emotional Balance That’s Just Right (Source: Nancy Duarte)
WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS
SANDRA LOUGHLIN – Seven Elements of Skills Data Quality
Skills data quality isn’t talked about much despite being the foundation for the SBO value proposition, a critical input to selecting and gaining value from skills tech vendors, and arguably the most difficult part of a skills transformation.
These wise words open Sandra Loughlin, PhD’s excellent article, where she outlines seven aspects of skills data quality, why they matter and their trade-offs: (1) Relevance (“Skills that are tracked should be the skills that need to be tracked—there’s no point in collecting skills data that won’t help you make better business decisions”). (2) Accuracy. (3) Validity. (4) Completeness. (5) Consistency (“Skills data should be consistently defined, recorded, and categorized across systems and within the organization”). (6) Timeliness. (7) Uniqueness. Thanks to Victoria Holdsworth for highlighting Sandra’s article.
EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING
CATHERINE COPPINGER - Introducing Two New Metrics: Fragmented & Interrupted Time
Catherine Coppinger from Worklytics introduces two new metrics: (1) Fragmented Time (“the sum of the total number of hours people have in blocks of time that are too short to get any deep work done”) and (2) Interrupted Time (“a metric designed to measure those periods of the day where people keep getting interrupted and just can’t find enough concentrated time to finish an important task”). Understanding these can help individuals and managers organise time more productively while enhancing employee wellbeing (see FIG 13). Read as a follow-up to another recent article by Catherine: 4 New Ways to Model Work, which featured in the July edition of Data Driven HR Monthly.
FIG 13: Source: Catherine Coppinger, Worklytics
MCKINSEY - What employees say matters most to motivate performance
Performance management is most effective when it features strong, consistent internal logic that employees understand
In their article, Asmus Komm, Brooke Weddle, Dana Maor, Katharina Wagner and Vivian Morrow Breaux present the findings of a McKinsey study of more than 1,000 employees across the globe on what matters most to motivating employee performance. The findings provide insights to employers to guide their approach with regards to performance management. These include: (1) Performance management frameworks should be consistent and clearly articulated. (2) Goal setting has impact when goals are measurable and clearly linked to company priorities (see FIG 14). (3) Performance reviews with skilled managers are crucial to employee performance. (4) Rewards that include nonfinancial incentives provide a boost.
FIG 14: Employees are motivated by measurable goals linked to company/team (Source: McKinsey)
LEADERSHIP, CULTURE, AND LEARNING
MEGAN REITZ AND AMY EDMONDSON - When a Team Member Speaks Up — and It Doesn’t Go Well
Speaking up — and being heard — in organizations is critical. What gets said, and what doesn’t, directs ethical behavior, innovation, inclusion, and performance.
In their article for Harvard Business Review, Megan Reitz and Amy Edmondson explore how 'conversational failures' often cause breakdowns in psychological safety rather than being used as opportunities to learn and develop. They discuss why they occur and the reasons why it is difficult to learn from these failures, before providing guidance on how these failures can become ‘intelligent’: (1) Prepare to learn from conversations. (2) Notice critical moments. (3) Implement process tools. (4) Attend to learning over the long term. For more on ‘intelligent failure’, tune in to Amy’s conversation with me on the Digital HR Leaders podcast: How Learning to Fail Can Help People and Organisations to Thrive.
If you’re not failing, you’re not journeying into new territory
JAMIE SMITH - How boards can champion a resilient talent strategy
Talent strategy is increasingly vital to driving overall strategy.
Based on a study of by EY and Corporate Board Member magazine of US public company directors across a range of industries, Jamie Carroll Smith presents analysis of the four opportunities identified in the research for boards to champion a resilient talent strategy: (1) Gain deeper insight into the employee experience. (2) Enable a workforce for the future (“Directors recognize that AI developments demand a reskilling of the workforce”). (3) Harness the value of diversity, equity and inclusion (“The future talent pool may depend on companies prioritizing DEI”). (4) Identify opportunities to strengthen talent governance. Thanks to Brian Heger for highlighting in an edition of his excellent Talent Edge newsletter.
FIG 15: The biggest impacts of AI on company workforce strategy (Source: EY)
JEN FISHER, SUE CANTRELL, JAY BHATT, AND PAUL SILVERGLATE - The important role of leaders in advancing human sustainability
More than eight out of 10 executives surveyed say a stronger commitment to prioritizing a positive human impact would increase their company’s ability to attract new talent (82%), appeal to customers and clients (81%), and profitability (81%).
Jen Fisher, Susan Cantrell, Jay Bhatt, and Paul Silverglate outline the key findings from Deloitte’s third annual Workplace Wellbeing report. The primary finding suggests that leaders can play a key role in prioritising and advancing a human sustainability agenda, particularly when it comes to measuring outcomes and holding their organizations accountable for progress. Insights identified in the study include: (1) The three trends impacting today’s workforce the most are skills, burnout and mental health. (2) The modern work experience doesn’t promote human sustainability but C-suite leaders aren’t seeing it. (3) While three out of four executives believe workforce wellbeing is excellent or good, workers are having a different experience (see FIG 16). The article then provides guidance on the metrics companies can implement to measure human sustainability including on skills development, purpose, DEI and societal impact.
FIG 16: Source – Deloitte Wellbeing at Work survey, 2024
DIVERSITY, EQUITY, INCLUSION, AND BELONGING
JANINE LEE - Breaking Down Barriers to Belonging for Women of Color in Tech
In her article in Harvard Business Review, Dr. Janine Lee, MBA, Ed.D. Global Head of L&D at Google, outlines the findings from her doctoral research on workplace belonging for women of colour in the tech industry. Janine highlights the top belonging contributors and detractors identified in the study (see FIG 17), and then offers three recommendations to boost workplace belonging: 1) Invest in programs that foster peer-based relationships, 2) Enable sponsorship and mentoring opportunities, and 3) Hold leaders accountable to “walk the talk.”
FIG 17: Sense-of belonging contributors and detractors (Source: Janine Lee)
HR TECH VOICES
Much of the innovation in the field continues to be driven by the vendor community, and I’ve picked out a few resources from August that I recommend readers delve into:
GURU SETHUPATHY – Understanding the EU AI Act in Four Handy Charts – Guru Sethupathy of FairNow provides an invaluable breakdown of the EU AI Act and its implications.
FIG 18: The four risk levels under the EU AI Act (Source: FairNow)
EMILY KILLHAM - How to Build a Better Boss: What Leaders (and Their Teams) Need Now to Thrive – Emily Killham delivers a new study by Perceptyx identifying five key behaviours for managers, the positive and negative impacts of manager behaviour on employees and organisations, and the role of employee feedback in help managers take corrective action.
FRANCISCO MARIN - The Role of Active and Passive Organizational Network Analysis in Cybersecurity – Francisco Marin of Cognitive Talent Solutions breaks down how active and passive ONA can support organisational cybersecurity initiatives including the detection of anomalous communications, enhancing incident response and tailoring security strategies.
LOUJAINA ABDELWAHED - How To Lose an Employee in 10 Days – Loujaina Abdelwahed, PhD presents analysis by Revelio Labs highlighting the negative impact of return to office on employee reviews and attrition.
FIG 19: Negative reviews of RTO correlate positively with attrition (Source: Revelio Labs)
ALICIA ROACH – Not all ‘Workforce Planning’ is the Same – If you are interested in workforce planning and don’t follow Alicia Roach of eQ8 on LinkedIn, you really should. In her recent post, Alicia reflects on her ‘triangle of workforce planning’ (see FIG 20), which skilfully illustrates the value of ‘strategic’ workforce planning.
FIG 20: Source – Alicia Roach
PODCASTS OF THE MONTH
In another month of high-quality podcasts, I’ve selected six gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below):
EMILY HACKER AND DAN WEISS - The Critical Role Data Plays in Skills Development - Emily Hacker, CPTD and Dan Weiss share insights from MetLife's skills journey with Stacia Sherman Garr and Dani Johnson of RedThread Research on the Workplace Stories podcast. The key learning from the conversation is that your skills data doesn't need to be perfect to benefit employees, improve talent acquisition, and enhance workforce planning.
JOSH BERSIN - The Future Of The Workforce Has Arrived, Can’t You See It? – Inspired by his recent trip to Europe, Josh Bersin explains why the traditional industrial work model has ended, gig work is now mainstream, reskilling should be given primacy, and why HR professionals need to reskill in AI to stay relevant.
BRYAN HANCOCK AND EMILY FIELD - Managing in the era of gen AI – In this episode of McKinsey Talks Talent, Bryan Hancock and Emily Field, two of the authors along with Bill Schaninger, Ph.D. of Power to the Middle: Why Managers Hold the Keys to the Future of Work, join host Lucia Rahilly to explain why middle managers matter, what leaders could do differently to make more of the managers on their teams, and how gen AI could change middle managers’ jobs—for the better.
ANSHUL SHEOPURI - How Mastercard is Training Employees for the AI Era – Anshul Sheopuri, EVP People Operations and Insights at Mastercard, joins Christopher Rainey on the HR Leaders podcast to shares insights on leveraging AI in HR and the importance of continuous learning.
JAMES GALLMAN - Bridging HR Technology, Analytics, AI Agents, LLMs, & Nudging at NetApp - James Gallman , VP HR PMO, Systems and Analytics at NetApp, joins hosts Cole Napper and Scott Hines, PhD on the Directionally Correct podcast to discuss the overlap between HR technology and people analytics.
LILY ZHENG - Ground Your DEI Efforts in Data – In an episode of Women at Work, DEI strategist and consultant Lily Zheng joins hosts Amy Bernstein and Amy Gallo to explain the role of data and analytics in DEI, and the importance of measuring outcomes to make lasting progress.
VIDEO OF THE MONTH
JULIET SCHOR - Smarter Work for a Better World?
Studies suggest that the Four Day Week may reduce burnout and depression, while also offering significant opportunities to reduce our collective carbon footprint.
One of my favourite sessions at this year’s Wharton People Analytics Conference saw Professors Juliet Schor and Iwan Barankay discuss what we know about the four-day work week and share their different perspectives on what this alternate structure might mean for organisations and their employees.
BOOKS OF THE MONTH
One of the benefits of being on holiday the past few weeks has been that it enabled me to catch up on some reading, hence there being two books of the month for August:
NICK VAN DAM – Boosting Your Well-being: The Best Version of Me - A wonderful book – and a wonderful cause with 100% of the book’s royalties being donated to the e-Learning for Kids Foundation. Written by Prof. dr. Nick van Dam, and 20 co-authors, this is a comprehensive book on professional wellbeing. It delves into the interconnected aspects of four key dimensions: body, mind, purpose, and environment, and offers a compelling approach to self- improvement. I particularly enjoyed the chapters on resilience and adaptability (written by Jacqui Brassey, PhD, MA, MAfN ?️ (née Schouten) ), sleep (Dr Els van der Helm) and contribution (Emily Ricci). An uplifting and potentially life-changing read.
KALIFA OLIVER – I Think I Love My Job: Secrets To Designing A People-Centered Employer Value Proposition - At times a powerful and relatable story of the ups and downs of corporate life, and at others a compelling narrative on how to approach work, harness data and build a world-class employee experience. Kalifa Oliver, Ph.D. combines both an academic and a practitioner mindset that empowers the reader to take charge of their career, challenge workplace norms, and use data to revolutionise the employee experience.
FROM MY DESK
August saw us reach a notable milestone on the Digital HR Leaders podcast – our 200th episode, and we celebrated in style with a special guest, Amy Edmondson, Thank you to Louis Gordon and the team at HiBob for sponsoring series 40 of the podcast.
AMY EDMONDSON - How Learning to Fail Can Help People and Organisations to Thrive – Harvard professor, pioneer of psychological safety and Thinkers50 #1, Amy Edmondson joined me for our 200th episode, where we discussed intelligent failure, and how failing well can drive individual and organisational success.
DAVID GREEN - What key elements do you believe are essential to building a strong company culture? - A round up of series 40 of the Digital HR Leaders podcast, with insights from John Winsor, Maureen N. Dunne, Ph.D., Nirit Peled-Muntz, Heidi Manna and Amy Edmondson.
DAVID GREEN - Five Key Elements For Building a Strong Company Culture? – A recent article for myHRfuture, where I break down five elements in building a strong company culture including aligning with organisational mission and using people data as your GPS.
LOOKING FOR A NEW ROLE IN PEOPLE ANALYTICS OR HR TECH?
I’d like to highlight once again the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which now numbers close to 500 roles – and has now been developed into a LinkedIn newsletter too.
THANK YOU
Wayne Tarken for kindly writing a post about me on LinkedIn: Curious About People Analytics? - What Leaders Can Learn from Thursday's Thought Leader.
Ester Martinez and her team at People Matters for including the Digital HR Leaders podcast in their list of 100 must-read resources for HR and talent leaders.
Rachel Collins for her post emphasising the need to move from employment to employability, inspired by the LinkedIn Live I hosted recently with Ravin Jesuthasan and Tanuj Kapilashrami.
Similarly, thanks to James Elliott for also posting here about the LinkedIn Live with Ravin and Tanuj.
David McLean , whose post on learning from your failures references the Digital HR Leaders podcast episode with Amy Edmondson.
Veronika Birkheim , whose post on Culture Diagnostics, references the Digital HR Leaders podcast episode with Heidi Manna.
Andrew Gadomski for his post on how he uses the Data Driven HR Monthly as a learning tool at the Cybersecurity and Infrastructure Security Agency.
Irada Sadykhova for her post on how to build a strong company culture, which was inspired by a recent series of the Digital HR Leaders podcast.
Ashley Utz for her post reflecting on the recent Digital HR Leaders podcast episode with Nirit Peled-Muntz.
HR Executive Leadership Exchange for including me in their list of the Top 10 HR Leaders You Should Follow.
Mirro.io for including me in their list of Top HR Leaders to Follow in 2024.
Daniyal Wali and The Talent Games for including me in their list of the Top 10 HR Tech Leaders to Follow in 2024.
Finally, a huge thank you to the following people who shared the July edition of Data Driven HR Monthly. It's much appreciated: Jaqueline Oliveira-Cella Andrés García Ayala Kristhy Bartels Sandy Zou Danielle Farrell, M.A. David Hodges Jeff Wellstead Gord Johnston MA, BHJ, BA, CHRP Debbie Harrison Dave Millner Sharna Wiblen Aizhan Tursunbayeva, PhD, GRP Catriona Lindsay Amardeep Singh, MBA Walter Maes Marcano Gert-Jan Tretmans Tim Peffers Kouros Behzad Adam Tombor (Wojciechowski) Lewis Garrad Sebastian Szachnowski Bob Pulver John Golden, Ph.D. Ben Wigert, Ph.D, MBA Ken Oehler Alexis Fink Katia Simões Francisca Solano Beneitez Abbas Qaidari Onno Bouman Aravind Warrier Kathleen Kruse Adedamola Adeleke ☁️ Elodie MENAGER Susan Knolla John Healy David Simmonds FCIPD Andrews Cobbinah, MLPI, ACIHRM Deviprasad Panda Vanesa C. David McLean Timo Tischer Prachi Agasti Maria Alice Jovinski Tristan Hack Adam McKinnon, PhD. Nicole Hazard Michael Arena Andras Vicsek Jane Kuhn Emily Pelosi, PhD Malgorzata Langlois Ahmed Salah ?? Swechha Mohapatra (IHRP-SP, SHRM-SCP, CIPD) Paul Daley Kyle Forrest Shivaani Talesra Ryan Wong Shujaat Ahmad Tessa Hilson-Greener Vivek Ojha Jacob Nielsen Søren Kold Tobias W. Goers ツ Terri Horton, EdD, MBA, MA, SHRM-CP, PHR Galo Lopez Noriega Marino Mugayar-Baldocchi Alexandra Nawrat Marian Stancik Hanadi El Sayyed Marcela Niemeyer Higor Gomes Kirsten Edwards Andreea Lungulescu Bradford Williams Faiza Tasneem(Associate CIPD) Alysson DuPont, SHRM-SCP, MBA Dr. Peter Schulz-Rittich Joaquin Hernandez Doug Shagam Mariami Lolashvili Caitie Jacobson Jaap Veldkamp Jaejin Lee Yvonne Bell (She/Her) John Gunawan Roberto Amatucci Philipp Heller Tina Peeters, PhD Gianni Giacomelli Lina Makneviciute Roshaunda Green, MBA, CDSP, Phenom Certified Recruiter Jacob Bradburn, Ph.D. Ying Li Phil Inskip Jack Liu Jonathan Berríos Leiva Stephen Hickey Lars Schmidt Geetanjali Gamel Dan George Anabel Fall Alejandra Barbarelli Adam Gibson Mia Norgren David van Lochem Nick Lynn Silja Kupiainen Heather Whiteman, Ph.D. Meghan M. Biro Martijn Wiertz Agnes Garaba Dolapo (Dolly) Oyenuga Laurent Reich Sebastian Kolberg Sebastián Mestre Chris Long Penny Newman Ralf Buechsenschuss Sebastian Knepper Marcela Mury Joseph Frank, PhD CCP GWCCM Dave Fineman Ron Ben Oz Danielle Bushen Kimberly Rose Daorong Lin Sukumaran Mariappan Abhilash Bodanapu Sonia Mooney Kerrian Soong Jay Polaki⚡️ SHRM-SCP/SPHR Remco van Es Ken Clar Matt Elk Aulia Raubien Natalie Wiseman Graham Irene Wong David Balls (FCIPD) Olivier Bougarel Ramesh Karpagavinayagam Oliver Kasper Andrew Kilshaw Nick Hudgell Gal Mozes, PhD Tatu Westling Brandon Merritt Johnson
UNLOCK THE POTENTIAL OF YOUR PEOPLE ANALYTICS FUNCTION THROUGH THE INSIGHT222 PEOPLE ANALYTICS PROGRAM
At Insight222, our mission is to make organisations better by putting people analytics at the centre of business and upskilling the HR profession The Insight222 People Analytics Program® is your gateway to a world of knowledge, networking, and growth. Developed exclusively for people analytics leaders and their teams, the program equips you with the frameworks, guidance, learnings, and connections you need to create greater impact.
As the landscape of people analytics becomes increasingly complex, with data, technology, and ethical considerations at the forefront, our program brings together over one hundred organisations to collectively address these shared challenges.
Insight222 Peer Meetings, like this event in London, are a core component of the Insight222 People Analytics Program®. They allow participants to learn, network and co-create solutions together with the purpose of ultimately growing the business value that people analytics can deliver to their organisations. If you would like to learn more, contact us today.
ABOUT THE AUTHOR
David Green ?? is a globally respected author, speaker, conference chair, and executive consultant on people analytics, data-driven HR and the future of work. As Managing Partner and Executive Director at Insight222, he has overall responsibility for the delivery of the Insight222 People Analytics Program, which supports the advancement of people analytics in over 90 global organisations. Prior to co-founding Insight222, David accumulated over 20 years experience in the human resources and people analytics fields, including as Global Director of People Analytics Solutions at IBM. As such, David has extensive experience in helping organisations increase value, impact and focus from the wise and ethical use of people analytics. David also hosts the Digital HR Leaders Podcast and is an instructor for Insight222's myHRfuture Academy. His book, co-authored with Jonathan Ferrar, Excellence in People Analytics: How to use Workforce Data to Create Business Value was published in the summer of 2021.
MEET ME AT THESE EVENTS
I'll be speaking about people analytics, the future of work, and data driven HR at a number of upcoming events in 2024:
September 11 - Productivity, Purpose, and Profit: How to thrive in ‘25 (London)
September 16-19 - Workday Rising (Las Vegas)
September 24-26 - Insight222 Global Executive Retreat (Colorado, US) - exclusively for member organisations of the Insight222 People Analytics Program
October 2-3 - People Analytics World (New York)
October 16-17 - UNLEASH World (Paris)
October 22-23 - Insight222 North American Peer Meeting (hosted by Workday in Pleasanton, CA) - exclusively for member organisations of the Insight222 People Analytics Program
November 12-14 - Workday Rising EMEA (London)
November 19-20 - Insight222 European Peer Meeting (hosted by Merck in Darmstadt, Germany) - exclusively for member organisations of the Insight222 People Analytics Program
More events will be added as they are confirmed.
HR
2024年09月03日
HR
2024年组织中人力资源部门的21个关键角色-来自AIHR
组织中人力资源部门的21个关键角色，分为“关键角色”、“合规角色”和“新兴角色”三个部分，如下所示：
关键角色
吸引候选人：开发和执行策略以吸引合适的候选人。
选择候选人：从众多申请者中挑选出最适合的候选人。
内部和外部招聘：内部晋升和外部招聘的管理。
绩效评估：对员工的工作表现进行评估。
薪酬：设计和实施薪酬策略。
员工福利管理：设计和管理员工福利计划。
学习与发展：确保员工技能与组织需求保持一致。
合规角色
晋升：晋升机制的设计与实施。
问题解决小组：创建和管理解决问题的小组。
全面质量管理（TQM）：实施全面质量管理以提高服务或产品质量。
信息共享：确保重要信息能够及时传达给所有员工。
组织发展：通过战略性的人力资源管理提升组织效能。
调查管理：管理各种员工调查，收集反馈以改进工作环境。
合规管理：确保公司遵守所有相关法律和规章制度。
商业合作伙伴：HR作为管理层的战略合作伙伴，提供人力资源解决方案。
新兴角色
数据与分析管理：使用数据分析来支持决策过程。
人力资源技术管理：管理和优化HR相关的技术和系统。
变更管理：领导和管理组织变更。
员工体验：设计和改进员工的整体工作体验。
多元化、公平、包容和归属感（DEIB）：推广和实施多元化和包容性策略。
公关：管理公司的公共形象和应对公关危机。
原文来自：https://www.aihr.com/blog/human-resources-roles/
Attracting candidates, Selecting candidates, Hiring from within and from outside, Performance appraisals, Compensation, Employee benefit management, Learning & development, Promotions, Problem-solving groups, Total quality management (TQM), Information sharing, Organizational development, Survey management, Compliance management, Business partnering, Data & analytics management, HR technology management, Change management, Employee experience, DEIB, PR
吸引候选人、选择候选人、内部和外部招聘、绩效评估、薪酬、员工福利管理、学习与发展、晋升、问题解决小组、全面质量管理 (TQM)、信息共享、组织发展、调查管理、合规管理、业务合作、数据与分析管理、人力资源技术管理、变革管理、员工体验、DEIB、公共关系
HR
2024年05月12日
HR
Valoir 报告显示 HR 尚未准备好迎接 AI，你呢？
研究显示，人力资源管理领导者面临的主要问题包括缺少 AI 相关的专业知识以及面临的风险和合规性问题。
弗吉尼亚州阿灵顿--Valoir 发布的一项全球新报告显示，尽管 AI 驱动的自动化似乎无法避免，但人力资源部门似乎并未做好准备。这项涵盖超过150位人力资源执行官的调查揭示了利用 AI 的巨大机会，但同时也显示出在制定政策、实施实践和进行培训方面普遍存在不足，以便安全有效地将 AI 技术应用于人力资源管理。
“虽然许多机构开始采用生成式 AI，但很少有组织建立必要的政策、准则和保障措施。作为员工数据的保护者和公司政策的制定者，人力资源领导者需要在 AI 的政策和培训方面走在前列，不仅为自己的团队，也为广大员工群体做好准备。”
以下内容需要特别注意： “AI 正在快速融入人力资源管理领域，特别是在招聘、人才发展和劳动力管理等方面。然而，引入 AI 也伴随着诸如数据泄露、误解、偏见和不当内容等风险，”Valoir 的首席执行官 Rebecca Wettemann 表示。“面对这些挑战并采取措施减少风险的人力资源部门，可以显著提升其从 AI 中获得的益处。”
人力资源的自动化与战略转型潜力
报告指出，有35%的人力资源部门员工的日常工作非常适合自动化处理。在所有人力资源管理活动中，招聘环节最有潜力应用 AI 技术，并且已成为采纳率最高的领域，近四分之一的组织已经开始利用 AI 支持的招聘流程。人才发展、劳动力管理以及培训和发展同样被视为 AI 自动化的关键领域。
生成式 AI 正在加速人力资源部门的生产力提升及风险增加
尽管到2023年中旬，超过三分之四的人力资源领域工作者已经尝试使用过某种形式的生成式 AI，但仅有16%的组织制定了关于使用生成式 AI 的具体政策。而且，真正关于其伦理使用的政策数量更是寥寥无几。人力资源领导者认为，缺乏 AI 相关技能和专业知识是采纳 AI 的最大障碍，但只有14%的组织制定了有效的 AI 使用培训政策。这些政策对于确保所有员工都能充分利用 AI 带来的好处并最小化风险是至关重要的。
“尽管生成式 AI 正被广泛采纳，但几乎没有哪些组织建立了必要的政策、准则和保护措施。作为员工数据的守护者和公司政策的制定者，人力资源领导者必须在 AI 政策和培训方面先行一步，这不仅是为了他们自己的团队，也是为了整个员工群体的利益，”Wettemann 表示。
报告的关键知识点：
Integration Challenges: HR faces challenges in managing AI use due to lack of policies, practices, and training.
Early Adoption vs. Preparedness: While HR has been an early adopter of AI, most organizations still lack the proper frameworks for safe and effective AI adoption.
Rapid Product Release: Post-Chat GPT announcement, HR software vendors have rapidly released generative AI products with varying capabilities.
AI’s Double-Edged Sword: AI offers great benefits but also poses risks of "accidents" due to immature technology, inadequate policies, and lack of training.
AI Experimentation and Automation Opportunity: Over three-quarters of HR workers have experimented with generative AI. 35% of HR tasks could potentially be automated by AI.
Current AI Utilization: The main opportunities for HR benefits from AI are in recruiting, learning and development, and talent management, with recruiting leading in AI adoption.
Adoption Barriers: Main hurdles include lack of AI expertise (28%), fear of compliance and risk (23%), and lack of resources (21%).
Policy and Training Deficiencies: Only 16% of organizations have policies on generative AI use, and less than 16% have training policies for AI usage.
Risk Areas in AI: Data compromises, AI hallucinations, bias and toxicity, and recommendation bias are identified as primary risks.
Future Plans for AI: Over 50% of organizations plan to apply AI in recruiting, talent management, and training within the next 24 months.
Least Likely AI Adoption: Benefits management has the lowest likelihood of current or future AI adoption due to data sensitivity concerns.
AI Skills and Expertise: The significant gap in AI skills and expertise impacts the adoption and effective use of AI in HR.
HR’s Role in AI Adoption: HR needs to develop policies, provide training, and ensure ethical AI use aligning with organizational principles.
Recommendations for HR: Suggestions include experimenting with generative AI, developing ethical AI usage policies, creating role-specific AI training, and identifying employee groups at risk from AI automation.
HR
2024年03月12日
HR
People Analytics:Introducing the Visier Path, a Proven Route to Business ImpactVisier Path是一种策略框架，旨在指导组织通过人员分析的旅程。它汇集了十多年的专业知识和数千个成功部署的精华，为HR和业务领导者提供了一个清晰、易于访问的“地图”。该框架将人员分析活动和HR实践与CHRO的战略优先事项对齐，提供了一个灵活、经过验证的途径，以实现显著的业务影响。通过先锋类比，它强调了从原始数据到可操作见解的演变，确保组织可以根据特定目标和策略定制他们的旅程。推荐阅读这篇文章：
The Visier Path is the framework we use to guide our cuhttps://www.visier.com/path/stomers to solve the people challenges they care about most. It’s a distillation of our deep people analytics expertise spanning thousands of successful deployments over a decade.
Here, VP of People Analytics, Ian Cook, explains what the Visier Path is, how it can help you, and why we’re sharing this “uniquely Visier” concept with the world.
Pioneering in people analytics
Traveling through the Rockies on North America's West Coast is a stunning journey. The land is vast and varied. Driving through high peaks and dense forests, one cannot help but ponder the fates and fortunes of the pioneers who first attempted to travel from east to west.
Their journey, likely slow and difficult, laid the foundation for current-day road journeys. We cruise effortlessly along a smooth, well-engineered, and clearly marked highway. Following the path created by others, we can be certain of a speedy trip to our destination.
People analytics was once a new concept that had to be pioneered. Back in the late 90’s, academic institutions started to pursue the work that we now call people analytics. They saw the promise of studying the “digital records” of employees to look for trends that could benefit the whole organization.
Flash forward to today: people analytics is now a well-established discipline, with commonly accepted approaches and a detailed understanding of how to build a successful practice.
Visier played a pioneering role in making this happen. We were the first purpose-built analytics platform for people data, and we’ve supported thousands of organizations as they founded and scaled their PA teams. As an organization, we’ve gathered a lot of knowledge about how to get from A to B in people analytics. Now, our goal is to smooth and speed the people analytics journey for you.
Introducing the Visier Path
When you choose Visier, you get access to a vast amount of knowledge not available anywhere else. The Visier Path distills the wisdom from over a decade of experience into one straightforward “map” that’s accessible to HR and business leaders alike.
Consider The Visier Path a guide that outlines exactly which people analytics activities and HR business practices are required to achieve a CHRO’s key strategic priorities.
Guiding you toward the right business impact
How, exactly, does the Visier Path help meet a CHRO’s objectives? It’s all about linking data and action.
Too often, people analytics is dressed up in confusing language and seen as either an esoteric internal research project or an IT project focused on wrangling data. We believe people analytics teams should model their work in the same way as FP&A teams support the CFO. That is to say: they must provide ongoing information about the performance and behavior of the workforce so that leaders can make the decisions that will have the right impact.
The Visier Path breaks down the steps needed for an organization to move from raw data to the right analysis, to tangible action that supports a business goal. The quality of that linkage—from data through to impact—is what separates the best people analytics teams from the rest.
Every organization’s journey is different
Every organization has different goals and strategies. That’s why we designed the Visier Path to be completely flexible depending on what’s important to you. While every company will start with the fundamentals (shown in yellow), the rest of your journey along the Path is completely bespoke.
The Visier Path, your proven route to people analytics success. Click to enlarge.
The Visier Path is arranged from left to right in order of increasing level of impact on the business. The Foundational Impact zone is about aligning on a single place where HR leaders, HRBPs, and managers can answer their people questions. The Drive HR Impact zone helps you target specific HR jobs to be done that are likely to be part of the CHRO’s agenda. Finally, the Drive Business Impact zone focuses on org-wide challenges that will directly affect the business’s financial performance.
The proven approach
The Visier Path is the proven, low-risk way to start your people analytics journey. It’s also the clear and effective way to evolve your practice as your capability increases and so does the demand for people analytics within your organization. The path takes the uncertainty out of buying, deploying, and scaling a people analytics solution, and ensures that your investment has measurable business impact.
We hope you find our guide valuable and accessible. If you would like to understand more about The Visier Path, the collective wisdom it embodies, the practices that it supports, or the impact it can have on your business, please don’t hesitate to reach out—we'd love to hear from you.
Experience and Insights in the Staffing Domain in Human ResourcesShaukhiHashim是The RuMa酒店公寓的董事，有十余年的酒店招聘经验。他提出了几个招聘中的要点，包括人才招聘与企业整体战略的符合，候选人对企业文化的理解，工作环境多样性与包容性，入职流程与留住员工，数据运用与数据分析。对人力资源招聘有很大的参考作用。
For decades, the field of human resources （HR） has evolved to meet the ever-changing needs of businesses and organizations. One of the important functions of the human resources department is staffing. This involves identifying, attracting, selecting, and retaining employees to achieve organizational goals. Over the years, staffing has become increasingly complex, requiring HR professionals to develop insight and experience to effectively meet talent acquisition and management challenges.
As a seasoned HR professional with over a decade of experience in staffing in hospitality, I have faced various challenges and gained important insights that have shaped my understanding of the complexities of HR management.
One of the most important insights I have gained in the staffing domain is the importance of aligning talent acquisition with the organization`s overall business strategy. To be successful, HR professionals must have a deep understanding of the organization's goals and the specific skills and competencies needed to achieve those goals. This requires close collaboration with key stakeholders, including senior leadership, department heads, and hiring managers. By understanding the organization's strategic priorities, HR can ensure that the staffing efforts are aligned with the broader business goals, ultimately delivering a more impactful and purposeful workforce. Unlike other industries, hotels have different departments, each with unique roles and responsibilities. From housekeeping to reception to catering, each department requires different skills and qualifications. As HR professionals, it is important to have a clear understanding of these requirements to effectively recruit the right candidates and place them in the right positions.
In addition to strategic alignment and effective communication, I have learned the value of understanding and driving the organization's culture throughout the hiring process. Culture fit is a critical factor in the long-term success of new hires, and HR professionals must be able to identify and assess candidates who will thrive within the organization's unique work environment. This requires a strong understanding of the organization's values, rules, and expectations, as well as the role of accurately assessing a candidate's cultural alignment throughout the hiring process. This involvement enables tighter demand forecasting and staffing performance, which ultimately leads to greater staff satisfaction and better guest service.
Another important insight I have gained in the staffing domain is the significance of diversity and inclusion in the hiring process. In today's globalized world, organizations must recognize the value of a diverse workforce and its benefits. Diversity in terms of gender, race, ethnicity, age, and background can drive innovation, creativity, and adaptability in the workplace. As an HR professional, it is crucial to ensure that the staffing efforts are inclusive and promote equal opportunities for all candidates. This involves implementing fair and unbiased selection processes, addressing unconscious bias, and actively seeking out diverse talent pools.
Once the right candidates are selected, the onboarding process plays a crucial role in their retention and success within the organization. Providing new employees with a comprehensive orientation program that familiarizes them with the company's culture, policies, and expectations sets them up for success from day one. Ongoing support and development opportunities should also be provided to ensure continuous growth and engagement.
Throughout my experience in the staffing domain, I have also realized the importance of data and analytics in HR management. Tracking and analyzing key metrics, such as time-to-fill, cost-per-hire, and retention rates, can provide valuable insights into the effectiveness of the staffing process. By leveraging data, HR professionals can identify areas for improvement, optimize recruitment strategies, and make data-driven decisions to enhance overall staffing performance.
The staffing domain in HR management is a complex and evolving field that requires HR professionals to have insight and experience to effectively attract, select, and retain talent. Aligning staffing efforts with the organization's business strategy, recognizing the importance of culture fit and diversity, implementing efficient recruitment and selection processes, providing comprehensive onboarding, and leveraging data and analytics are key aspects to consider navigating the challenges and ensure successful staffing outcomes.
SOURCE ManageHR
HR
2024年01月22日
HR
Employers, Employees Disconnected over AI-related Job DisplacementsLooking at the fast-growing AI age, generative AI is having a great impact on job security. Most employees have expressed their 'psychologically unsafe' at work, while most employers are unconcerned about this. In fact, in order to generate values more efficiently, leaders are supposed to be open to generative AI and upskill their employees.
'Misaligned perceptions' among leaders, employees erode trust, report says.
Employers and employees are not seeing eye to eye when it comes to the impact of generative AI in the workplace, hindering trust and preventing organisations from unlocking the potential of the technology at work.
This is according to a new report from Accenture after collecting data from over 7,000 C-suite leaders and 5,000 employees of large organisations across 19 countries.
According to the report,58%of employees are worried about generative AI's impact on job security.
This comes amid recent research from the International Monetary Fund saying the rapid rise of AI will expose nearly 40% of jobs worldwide, while another report from Goldman Sachs said it will put at risk 300 million jobs.
C-suite not concerned about AI
But members of the C-suite don't appear too concerned about this outcome, as the report found that less than one-third of them feel job displacement is a concern for people.
It also found a disconnect between employees and the C-suite when it comes to how gen AI will affect well-being.
For 60% of employees, they believe it will increase stress and burnout, while only 37% of leaders see this as an issue.
These disconnected views contribute to the lack of trust from employees, who don't believe their organisations will ensure positive outcomes when utilising generative AI, according to the report.
"Misaligned perceptions between leaders and workers also erode trust," the report said. "This lack of trust puts the trifecta of opportunities at risk."
'Trifecta of opportunities'
The report outlined three opportunities that organisations can maximise when it comes to gen AI and they are:
Accelerating economic value
Increasing productivity that drives business
Fostering more creative and meaningful work of people
But the lack of trust from their employees are preventing these organisations from leveraging these opportunities, despite 95% of them saying they see the value in working with AI, according to the report.
Role of leaders in gen AI integration
It also comes as two-thirds of employees said they don't have the technology and change leadership expertise to drive the reinvention need to take advantage of AI, according to the report.
"There's a way, however, for leaders to close the trust gap and accelerate gen AI integration: Look at and emulate how leading organisations are leveraging gen AI in ways that are better for business and better for people," the report said.
Only nine per cent of organisations in the survey were classified as "reinventors," who have achieved the capability for continuous reinvention and have maximised the potential of AI.
More than half of these reinventors are already redesigning jobs and roles around AI as steps to reshape the workforce, according to the report.
"Key to all of this: three-quarters are actively involving their people in their enterprise change efforts, while reskilling people," the report said.
These organisations are being transparent to employees throughout the process to establish and foster trust, according to the report.
Ellyn Shook, chief leadership and human resources officer, Accenture, underscored the role of leaders in the transition to gen AI.
"Success starts with leaders who are willing to learn and lead in new ways, to scale gen AI responsibly, to create value and ensure work improves for everyone," Shook said in a statement.
"It starts with asking a simple question: are people 'net better off' working here? This not only unlocks people's potential and drives bottom-line growth, but also paves the way for workers feeling comfortable, trusting and ready to work with gen AI. What we've learned from the past as leaders is that what happens next is up to us. The best outcomes are ours to shape."
SOURCE HRD
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