• People Analytics Trends study
    The best HR & People Analytics articles of May 2024 I’m writing the introduction to the May edition of the Data Driven HR Monthly on a flight to London from Mexico City. Together with Jonathan Ferrar, I was in Mexico to conduct an Insight222 workshop with the HR Leadership Team of one of the world’s largest global consumer goods companies. The workshop was composed of a number of modules including: consulting with data, prioritisation and data governance. It was the culmination of a month of notable milestones both within Insight222 and the external market: The Digital HR Leaders podcast celebrated its fifth birthday (see here). The fifth edition of the Insight222 People Analytics Trends study was launched (see below for details). We also opened registration for an Insight222 webinar on AI in HR and People Analytics, which will take place on June 13 (see below for details). In the HR Tech space, Crunchr and TechWolf announced a strategic partnership (see here),  and Cornerstone OnDemand acquired SkyHive (read analysis from Alexandra Nawrat here). Welcome to the 2,513 new subscribers to the Data Driven HR Monthly newsletter, who joined in the last month. This month’s collection features new research from the likes of Microsoft, McKinsey, and the Talent Strategy Group, as well as resources from practitioners in companies including Mastercard, EY, Novartis, IBM, Intuit, Lego, Ericsson, and Marks & Spencer. This edition of the Data Driven HR Monthly is sponsored by our friends at TechWolf The Journey to the Skills-Based Organization Transform your HR strategy with skill-based insights Advancements in technology and evolving market demands are reshaping the skills landscape, making the transition to skill-based essential for organisations to remain competitive. Yet, despite widespread recognition of its value, research by Deloitte showed that less than 20% of companies have embarked on this transformative journey toward becoming a skill-based organisation (SBO). Wondering where to start? Our guide, "Getting Started with Skills," is designed for HR leaders on this journey, covering three actionable steps: Reasons for adopting a skill-based approach. Challenges in becoming an SBO. Practical steps to integrate skills into your strategy. This journey is about setting a new direction for your organisation, one that is agile, resilient, and ready for the future. Read our latest guide today. Download now To sponsor an edition of the Data Driven HR Monthly, and share your brand with over 125,000 Data Driven HR Monthly subscribers, send an email to dgreen@zandel.org. Join me for an Insight222 webinar on June 13 to discover how AI is reshaping HR and people analytics As AI and Generative AI continue to dominate HR conversations, it's essential to explore practical applications, benefits, and challenges. Register to join me for an Insight222 webinar on June 13.  In the webinar, Jasdeep Kareer, PhD (née Bhambra) Andrew Elston Justin Shemeley and I will discuss: Real-world use cases demonstrating AI's impact on HR and People Analytics. Common challenges encountered during AI adoption and strategies for overcoming them. The importance of responsible AI practices and ethical considerations in HR. Register for The Role of AI in HR People Analytics webinar. Invitation: If you are a people analytics leader, participate in the 5th annual Insight222 People Analytics Trends survey... The Insight222 People Analytics Trends study is now in its fifth year, and has grown to be the biggest and most important annual study in the field of people analytics. We have now opened the survey for 2024, which is intended to gain insights into: (1) People analytics operating model, roles, and technology. (2) Measuring the value of people analytics. (3) AI in HR. If you are the people analytics leader at your company and would like to participate in the People Analytics Trends study for 2024, click this link and please complete the survey by Sunday 23 June. Participate in the Insight222 People Analytics Trends Survey for 2024. Share the love! Enjoy reading the collection of resources for May 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 April’s compendium (including those in the Comments section). If you enjoy a weekly dose of curated learning (and the Digital HR Leaders podcast), the Insight222 newsletter: Digital HR Leaders newsletter is published every Tuesday – subscribe here. HYBRID, GENERATIVE AI AND THE FUTURE OF WORK MICROSOFT AND LINKEDIN - AI at Work Is Here. Now Comes the Hard Part We’ve come to the hard part of any tech disruption: moving past experimentation to business transformation. Just as we saw with the advent of the internet or the PC, business transformation comes with broad adoption. Organizations that apply AI to drive growth, manage costs, and deliver greater value to customers will pull ahead. Microsoft’s 4th annual Work Trend Index, in partnership with LinkedIn provides a comprehensive view of how AI is not only reshaping work, but the labour market more broadly. Three key findings are described in depth: (1) Employees want AI at work—and they won’t wait for companies to catch up. (2) For employees, AI raises the bar and breaks the career ceiling. (3) The rise of the AI power user—and what they reveal about the future. The report contains a series of powerful insights, visualisations, and analysis – such as the impact of AI skills on hiring (see FIG 1). I also recommend watching Johnny C. Taylor, Jr., SHRM-SCP, CEO of SHRM, talking to Kathleen Hogan and Jared Spataro about the integration of AI in enhancing work at Microsoft, insights on AI adoption strategies, and addressing the balance between AI opportunities and workforce implications. FIG 1: The New Hiring Imperative: AI Aptitude Takes Centre Stage (Source: Microsoft Work Trends, 2024) ANSHUL SHEOPURI AND LUCRECIA BORGONOVO - At the inflection of AI and HR: How Mastercard is equipping employees for the AI era We recognize the best way to build trust is to bring our employees along with us on our AI journey, ensuring they are made aware of and educated about our commitment to responsible and ethical AI — in addition to the benefits that AI can bring to their day-to-day experiences and overall career path. Anshul Sheopuri and Lucrecia Borgonovo share five areas where Mastercard is using AI to improve the way their employees work, grow and manage their careers: (1) AI as career coach. (2) AI as wellbeing guide. (3) AI as workflow assistant. (4) AI as co-pilot. (5) AI as workforce planning partner. For more insights, particularly with regards to how Mastercard is using AI in Unlocked, its internal talent marketplace, I recommend watching the recording of the CHRO Panel at the recent Gloat Live event in New York, where I moderated a panel featuring Michael Fraccaro, Mastercard’s chief people officer, as well as Tanuj Kapilashrami and Tamla Oates-Forney. MCKINSEY - A new future of work: The race to deploy AI and raise skills in Europe and beyond Up to 30 percent of hours worked could be automated by 2030, boosted by gen AI, leading to millions of required occupational transitions An insightful McKinsey study, which explores labour markets in ten European countries and the United States, in the years to 2030 given factors including labour shortages, productivity challenges, and the inexorable rise of technology. The report identifies four key priorities for companies: (1) Understand the potential: Leaders need to understand the potential of how AI and gen AI can augment and automate work. (2) Plan a strategic workforce shift: Once they understand the potential of automation technologies, leaders need to plan the shift toward readiness for the automation and AI era. (3) Prioritise people development: To ensure that the right talent is on hand, leaders could consider strengthening their capabilities to identify, attract, and recruit future AI and gen AI leaders in a tight market. (4) Pursue the executive-education journey on automation technologies: Leaders also need to undertake their own education journey on automation technologies to maximise their contributions during the coming transformation. (Authors: Eric Hazan, Anu Madgavkar, Michael Chui, Sven Smit, Dana Maor, Gurneet Singh Dandona, and Roland Huyghues Despointes). FIG 2: Source - McKinsey JEREMIE BRECHEISEN - What Companies Don’t Know About How Workers Use AI Managers influence 70% of team engagement and they can ensure that your AI strategy supports the organization’s goals and expectations in terms of innovation, agility, and productivity. Jeremie K Brecheisen presents Gallup research, which finds that leaders do not fully understand their employees’ use of, and readiness for, AI. The study finds that seven in 10 employees never use AI in their job, with only one in 10 saying they use AI on a weekly basis or more often.  Brecheisen offers three recommendations for leaders to find the right balance of control and trust around AI, including measuring how their employees currently use AI, cultivating trust by empowering managers, and adopting a purpose-led AI strategy that is driven by the company’s purpose instead of a rules-heavy strategy that is driven by fear. FIG 3: Could AI improve how work gets done? (Source: Gallup) HEIDI GRANT, GINNIE CARLIER, AND FRANK GIAMPIETRO - Using Data to Design Your Hybrid Work Policies | JOSE MARIA BARRERO, NICHOLAS BLOOM, SHELBY BUCKMAN, AND STEVEN J. DAVIS - Survey of Working Arrangements and Attitudes (SWAA) (May 2024) In their article for Harvard Business Review, Heidi Grant, Ginnie Carlier, and Frank Giampietro outline how EY has taken a data-driven approach to questions around hybrid work. Their data comparing the performance and well-being of hybrid employees with their fully in-person and remote counterparts has yielded often surprising insights. For example, EY found that hybrid employees who spent 40% to 60% of their time in person experienced higher well-being, belonging, skills development, and engagement when compared to fully remote or in-person employees. The article also provides guidance on how enabling teams to co-create and commit to ways of working drives work-life balance and wellbeing. Read alongside the May 2024 update of the WFH Research report by Jose Maria Barrero, Nick Bloom, Shelby Buckman, and Steven J. Davis, which amongst its many highlights, finds that 66% of workers use an office at least once a month (see FIG 4). FIG 4: Source – wfhresearch.com PEOPLE ANALYTICS PIETRO MAZZOLENI - Blueprint for Balance: IBM’s Guide to Managing and Protecting People Data In another edition of what it proving to be consistently one of the best newsletters of 2024 – People Data Platform – Pietro Mazzoleni shares the three core principles of how IBM manages and protects people data (see FIG 5). He explains how his team effectively secures data, strikes a balance between protection and accessibility, and establishes clear ownership of every piece of data. FIG 5: Three core principles for managing and protecting people data (Source: Pietro Mazzoleni) MCKINSEY - Master data management: The key to getting more from your data Master data management can give organizations a leg up by allowing them to easily organize and access data about customers, suppliers, products, and employees. An essential read for HR and people analytics professionals looking to bring their people and other organisational data together to drive value for the company, customers and employees.  The article by Aziz Shaikh Holger Harreis Jorge Machado and Kayvaun Rowshankish, provides findings from a McKinsey study on how large companies organise, use, and mature their master data management (MDM). It includes examples of how MDM creates value in five ways (e.g. how MDM standardises data across entities to provide a unified view across various systems), common challenges (e.g. poor data quality – see FIG 6), and guidance on how to implement MDM effectively (e.g. establishing a robust data governance model to maintain integrity and reliability of MDM capabilities). FIG 6: MDM quality issues (Source: McKinsey) ANNETT ZIPPEL AND PATRICK COOLEN - Finding the right People Analytics Leader for your organization | MARTHA CURIONI - People Analytics for HR: Demystifying People Analytics | SERENA HUANG - Winning Over Gen Z: How AI & Data Can Create the Ideal Workplace | RORY O’GALLAGHER - Bridging Surveys and Conversations with Generative Listening Tools | WILLIS JENSEN - Moving Beyond Correlation to Causation in People Analytics | LOUISE BAIRD - How To Use People Analytics to Improve Manager Effectiveness In recent editions of the Data Driven HR Monthly, I’ve featured a collection of articles by current and recent people analytics leaders. Six are highlighted here. (1) In an interview with Annett Zippel of KennedyFitch, Patrick Coolen shares insights on the components of a successful people analytics practice, how to get started, and the skills to look for and build in a people analytics leader. (2) Martha Curioni outlines a five-step methodology to undertake a people analytics project, with the first step perhaps being the most important: Define the Problem Statement. (3) Serena H. Huang, Ph.D. provides guidance on how AI and data can help create effective wellbeing and DEI strategies that resonate with Gen Z. (4) Rory O'Gallagher breaks down the what, why, and how of generative employee listening tools, including how they differ from traditional surveys, how to integrate them into your employee listening ecosystem, and how they will evolve. (5) Willis Jensen sets out the challenges of establishing causation in people analytics and provides guidance on how to get past these challenges such as identifying actionable variables (see FIG 7). (6). Louise Baird, Head of People Analytics at Marks & Spencer, offers practical steps on how to drive manager effectiveness through people analytics. FIG 7: Examples of non-actionable and actionable variables in people analytics (Source: Willis Jensen) THE EVOLUTION OF HR, LEARNING, AND DATA DRIVEN CULTURE NORM SMALLWOOD AND DAVE ULRICH - HR Transformation: Common Pitfalls and Tried and True Tips Not developing the HR professionals to do strategic work is the #1 reason HR Transformation fails Norm Smallwood, Dave Ulrich and The RBL Group outline four common HR Transformation pitfalls and tips to overcome each: (1) HR transformation is about transforming the entire HR Department to create value for the business. (2) It requires an understanding of the work that creates value for the business and then designing the organisation and building HR leaders and professionals to enable it (see FIG 8). (3) Invest in providing HR professionals with frameworks, tools, and shared language to do strategic work – “For impact on the business, HR must invest in itself.” (4) Capabilities are the link between business strategy and HR actions. FIG 8: Source – The RBL Group ZAC UPCHURCH | TALENT STRATEGY GROUP – CHRO Trends 2024: Insights from the Fortune 200 Chief Human Resources Officer and Chief People Officer Changes Zac Upchurch presents the key findings from the seventh annual edition of The Talent Strategy Group’s CHRO Trends report. Three of the ten trends are: (1) A Decline In CHRO/CPO Appointments - 2023 had the fewest Fortune 200 CHROs/CPOs appointments since the report’s inception, with 22 new CHROs/CPOs appointed in 2023. (2) The Rapid Increase in Internal Succession - 73% of 2023 appointed CHROs/CPOs came to the role via internal succession, a rate not seen since 2017. (3) The HRBP as the CHRO/CPO Stepping Stone - The vast majority of the 2023 CHRO/CPO appointments consisted of individuals that served in a HRBP role prior to their CHRO/CPO appointment. FIG 9: Internal vs. External CHRO/CPO hires in 2023 (top) and from 2017-2023 (bottom) (Source: Talent Strategy Group) STORYTELLING WITH DATA SPECIAL JAY DORIO - How to Empower HR Through Data Literacy | BRENT DYKES - Data Storytelling Arc: Demystifying Narrative Structure In Data Stories | NANCY DUARTE - How to Create Slides That Suit Your Superiors: 11 Tips | GANES KESARI - The Enduring Power of Data Storytelling in the Generative AI Era | COLE NUSSBAUMER KNAFLIC - How HR professionals can Master Storytelling with Data As Jay Dorio reveals in his article, which is based on Insight222 research on how to build data literacy in HR at scale, storytelling is one of the five core skills HR professionals need to build to improve their data literacy. Four resources I recommend on storytelling are: (1) Brent Dykes analyses alternative narrative models for data storytelling and presents his Data Storytelling Arc (see FIG 10). (2) Nancy Duarte outlines 11 tips for preparing slides for an internal presentation, which includes four things you must have in every exec’s slides: start with an executive summary, have a logical organisation, make it skimmable, and focus on concise insights. (3) Ganes Kesari presents a 2x2 (see FIG 11) to help select the best approach to drive decision-making with data. (4) In a recent episode of the Digital HR Leaders Podcast, Cole Nussbaumer Knaflic discusses the transformative power of storytelling in the context of people data and analytics. FIG 10: Data Storytelling Arc (Source: Brent Dykes) FIG 11: What kind of decision are you making? Four Situations (Source: Ganes Kesari) WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS AMANDA EVANS - Applying People Analytics To Organizational Design Amanda Jane Evans draws on recent collaborative research by Andrea Derler, Ph.D. of Visier Inc. and Amy C. Lewis, PhD to demonstrate how people analytics can inform actions on team size that drive business performance. The research highlighted that smaller teams—specifically those with six to 10 members—tend to harbour more high performers and have lower resignation rates (see FIG 12). In her article, Amanda explains that people analytics revealed that smaller teams at Partners Group are more likely to be successful in scenarios with direct client contact where high expectations for performance and stakeholder management are set. Amanda also explains how the firm proactively uses people analytics to analyse span of control during business transformation. FIG 12: Smaller teams have lower resignation rates (Source: Visier) EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING MCKINSEY - To defend against disruption, build a thriving workforce To build a thriving workplace, leaders must reimagine work, the workplace, and the worker. Generative AI provides organisations – and HR professionals – with the opportunity to reimagine work, the workplace and the worker. In their article, the McKinsey team of Jacqui Brassey, PhD, MA, MAfN (née Schouten), Aaron De Smet, Emily Field, Taylor Lauricella, and Brooke Weddle, break down what a ‘thriving culture’ is (and what it isn’t) and offer five actions companies can adopt to maximise healthy work environments, team effectiveness, and employee well-being so that more workers can reach their peak performance. FIG 13: Employee segments as a share of an organisation’s workforce (Source: McKinsey) DAWN KLINGHOFFER - The Key to a Thriving Workforce? A Smart Approach to AI What we find is that AI is really there to help you take friction and toil out of the system, and to remove the drudgery of work. And when people are able to remove some of that drudgery, we see that they’re more productive, and they thrive more. Dawn Klinghoffer, Global Head of People Analytics at Microsoft, shares insights from the company’s recent Employee Signals survey. The findings not only highlighted the tangible benefits of thriving, but also identified a key catalyst for fostering it: access to AI. The article then highlights how thriving – and access to AI – has a positive impact on three indicators of high performance: (1) Meaningfulness (incorporating AI into the day correlated to a 20% jump in scores relating to meaningful work). (2) Empowerment. (3) Energy (scores on energy-related questions for those using AI jumped almost 27%). Dawn also shares the ABCs of thriving with AI: Accelerate alignment, Be inclusive, and Cultivate collective growth. This is another example of how Microsoft’s comprehensive approach to employee listening (see FIG 14) – coupled with the sponsorship of the CEO, Satya Nadella, leads to insights that drive positive outcomes for the business and the workforce. For more on Microsoft’s approach to employee thriving, listen to Dawn in conversation with me on the Digital HR Leaders podcast: How Microsoft Created A Thriving Workforce By Going Beyond Employee Engagement. FIG 14: Microsoft’s Employee Listening Ecosystem (Source: Dawn Klinghoffer) EMILY PELOSI AND PAIGE MCGLAUFLIN - Intuit’s ‘head of employee listening’ talks about the science of worker feedback—and the art of asking the right questions In an interview with Fortune, Emily Pelosi, PhD, Head of Employee Listening at Intuit, discusses why her role was created, what it involves, and how she helps Intuit’s leaders harness employee feedback to make better and more informed decisions based on data. Two areas that really resonate, are (1) how Emily partners closely with Intuit’s CEO and chief people officer to shape their bi-annual survey and take action on the results. (2) the importance of asking the right questions. BENJAMIN LAKER AND STEFANIA MARIANO - The Unexpected Upsides of Letting Employees Define Their Jobs | JACKSON ROATCH - The Work-GPT Paradox, AI and Job Crafting Job crafting creates an environment of autonomy, encouraging employees to take initiative and innovate. Three resources about ‘job crafting’, which in the article by Benjamin Laker and Stefania Mariano is described as: “Job crafting is a proactive approach where employees reshape their roles to infuse more meaning and engagement into their work.” Their article describes the three primary components – task crafting, relational crafting, and cognitive crafting – and discusses the benefits, challenges and considerations for implementing job crafting successfully. In the second article, Jackson Roatch explains how using AI more can enable employees to use job crafting to make their jobs 5-10% better. He cites research by Amy Wrzesniewski, as well as the work of Ravin Jesuthasan, CFA, FRSA and John Boudreau in deconstructing jobs, to provide an example of how AI can shape the role of a data analyst (see FIG 15). Finally, for more on job crafting, I recommend listening to Dan Cable in discussion with me on the Digital HR Leaders podcast: How to Help People Love What They Do At Work. FIG 15: Using AI to ‘job craft’ the role of the data analyst (Source: Jackson Roatch) LEADERSHIP, CULTURE, AND INCLUSION ALLAN H. CHURCH, JAMES SCRIVANI, AND MARKUS GRAF - Unleashing The Power of Assessments for Leaders and their Organizations Based on their experience of working with assessment tools in organisations such as PepsiCo and Novartis, Allan Church, Ph.D. Jim S. and Markus Graf present a three-step guide to building an effective, impactful and meaningful assessment system: (1) Focus Assessments on Future Capabilities Needed for Your Organisation. (2) Take a Multi-Trait, Multi-Method Approach to Assessment, aka Use Multiple Lenses. (3) Unlock the Value of Assessment Insights for Leaders, Teams, and the Organisation (see FIG 16). FIG 16: The Three Levels of Assessment Insights (Source: Church et al) MCKINSEY - In the spotlight: Performance management that puts people first Companies that focus on their people’s performance are 4.2 times more likely to outperform their peers, realizing an average 30 percent higher revenue growth and experiencing attrition five percentage points lower. While effective performance management systems support employees to develop, new research by McKinsey finds that most companies fall short of best practices. In their article, Amaia Noguera Andrea Pedroni Asmus Komm and Simon Gallot Lavallée provide insights on how leading companies approach performance management across four elements - goal setting, performance reviews, ongoing development, and rewards (see FIG 17). The article also digs into five enabling factors: (1) Ensure that performance management systems are agile. (2) Provide regular feedback. (3) Establish an effective fact base. (4) Maintain rating and differentiation. (5) Employ gen AI. FIG 17: Designing a performance management system (Source: McKinsey) CATHERINE COPPINGER - Manager Effectiveness: 5 Metrics That Matter More than eSat Scores Catherine Coppinger presents findings from Worklytics research on manager effectiveness, which highlights the top drivers of low and high manager satisfaction (see FIG 18). The article also recommends metrics for measuring manager effectiveness, which are based on five things top-performing managers tend to do: (1) Provide regular coaching. (2) Define and implement reasonable team norms. (3) Support their team (without micromanaging). (4) Elevate and unblock their team via network connections. (5) Routinely engage with team members in-person. For more insights on this topic, listen to Catherine on a recent episode of the Digital HR Leaders podcast: How to Use Passive Data to Enhance Manager Effectiveness. I also recommend checking out the deck Philip Arkcoll and Michael Arena presented recently at Society for Industrial and Organizational Psychology (SIOP): The ONA Hype Cycle: Why this Time is Different. FIG 18: The drivers of lower and higher manager satisfaction (Source: Worklytics) HR TECH VOICES Much of the innovation in the field is driven by the vendor community. I’ve picked out a few resources from May that I recommend readers delve into: ARCTIC SHORES - The pragmatist’s playbook for skills-based hiring – An indispensable guide to skills-based hiring from Robert Newry and the team at Arctic Shores. It features: why companies are shifting from experience to skills-based hiring (see FIG 19) a seven-step framework for skills-based hiring, case studies from Siemens and Molson Coors, and contributions from the likes of Hung Lee, Gemma Aldridge, Joe Sidley, and Yasar Ahmad. FIG 19: The shift from experience-based to skill-based hiring (Source: Arctic Shores) ANDY PRZYSTANSKI - Lattice Data Reveals Lower Engagement, Stretched Managers, and More – Andy Przystanski presents findings from analysis of over one million employees on Lattice’s people platform including (1) Engagement is down - between 2022 and 2023, eNPS decreased from an already low 33.33 to 24.8 (see FIG 20). (2) Manager span of control is increasing. (3) Soft skills are in high demand. FIG 20: Source - Lattice FRANCISCO MARIN - Embracing Generative AI in Organizational Network Analysis: 8 Key Considerations for Success – Francisco Marin of Cognitive Talent Solutions sets out eight key considerations for successfully incorporating GenAI into organisational network analysis including: (1) Define clear objectives, (2) Ensure data quality, and (3) Prioritise privacy and ethics. KEN OEHLER - Unlocking the Power of Personality – Ken Oehler presents new research from RADICL, which explores the link between personality traits and areas such as hybrid collaboration, trust, employee experience, and productivity. A fascinating read. FIG 21: Source - RADICL FRESIA JACKSON, HEATHER WALKER, AUBREY BLANCHE-SARELLANO - Workplace Diversity, Equity, and Inclusion 2024 Report – Culture Amp’s Workplace DEI Report is always an insightful read and the 2024 edition is no exception. As Aubrey Blanche-Sarellano writes in the Foreword: “DEI has become both a buzzword and the target of significant backlash.” The report by Fresia Jackson, Heather Rose Walker, PhD and the team provides detail on five key findings including: (1) Perception of DEI in the workplace is falling globally. (2) Intersectionality has a compounding effect. (3) Embedding DEI into existing programs has a bigger impact. FIG 22: Source – Culture Amp PODCASTS OF THE MONTH In another month of high-quality podcasts, I’ve selected four gems for your aural pleasure: COLE NAPPER, SCOTT HINES, AND GUESTS – Live from SIOP 2024 – If you only listen to one podcast this month, I highly recommend this episode of the Directionally Correct podcast, recorded live at the recent SIOP 2024 event. Joining hosts Cole Napper and Scott Hines, PhD, are a stellar list of people analytics practitioners: Anthony Ferreras, Amy Frost Stevenson, PhD, Rob Stilson, Ph.D., Emily Pelosi, PhD, and Kelsie L. Colley, M.S. PhD ABD. SERGIO EZAMA - Unlocking the Secrets of Netflix's Innovative HR Strategy – Netflix CHRO Sergio Ezama joins Lars Schmidt on the Redefining Work podcast to share a unique approach to compensation that's setting new benchmarks in the HR landscape. VIDYA KRISHNAN AND PETER SHEPPARD – Why Skills are like Oxygen – Vidya Krishnan and Peter Sheppard join Stacia Sherman Garr and Dani Johnson on RedThread Research’s Workplace Stories podcast to share Ericsson’s skills-based approach and why “Skills are like oxygen, invisible but necessary.” TOMAS CHAMORRO-PREMUZIC - Why so many bad bosses still rise to the top – Dr Tomas Chamorro-Premuzic, Bryan Hancock, and Brooke Weddle join host Lucia Rahilly on the McKinsey Talks Talent podcast to discuss why the traits that propel us to the top seem to diverge so widely from those that make us great leaders—as well as how to choose stronger, more successful, and more diverse candidates for leadership roles. VIDEO OF THE MONTH NEHA UPADHYAYA – Building an Impactful People Analytics Practice I recently had the privilege of attending the Wharton People Analytics Conference - thanks to Matthew Bidwell, Laura Zarrow, and team. All the sessions from the event can now be viewed including this one featuring Neha Upadhyaya presenting the findings of interviews and surveys of people analytics leaders. The talk presents the initial findings, including the trends they've uncovered, and the pitfalls to avoid in order to build and sustain an impactful people analytics team. BOOK OF THE MONTH ANISH LALCHANDANI – The Skills Advantage: A Human-Centered, Sustainable, and Scalable Approach to Reskilling In the ‘Book of the Month’, Anish Lalchandani breaks down ‘why’ companies should make the paradigm shift towards a skill-centric approach, ‘how’ it contributes to business success, and provides guidance on ‘what’ steps practitioners can take with regards to Agility, Awareness, Application and Alliances in building a comprehensive reskilling strategy. The book is an indispensable guide for HR leaders looking to embrace a successful skills-based approach. RESEARCH REPORT OF THE MONTH STEFANO DI LAURO, AIZHAN TURSUNBAYEVA, GILDA ANTONELLI. AND LUIGI MOSCHERA - Disrupting human resource management with people analytics: a study of applications, value, enablers and barriers in Italy In their paper, Stefano Di Lauro, Aizhan Tursunbayeva, PhD, GRP, Gilda Antonelli, and Luigi Moscheraexplore the adoption and impact of people analytics in Italy. Key findings suggest that people analytics, particularly descriptive, is growing, and that benefits are being enjoyed at both an organisational and employee level. FIG 23: People Analytics value for organisations in Italy (Source: Di Lauro et al) FROM MY DESK May saw four episodes of the Digital HR Leaders podcast - with two each sponsored by our friends at Worklytics and Crunchr. Thank you to Philip Arkcoll and Laura Morris from Worklytics and Ralf Bovers and Dirk Jonker from Crunchr for your partnership and support. LASSAAD ESSAFI AND DAVID GREEN - How EDLIGO Enhances Organisational Performance with Skills-Based Models - In this Expert Interview, I sit down with Lassaad Essafi, CEO at EDLIGO Talent Analytics and Learning Analytics to explore why a skills-based approach to talent management is not just a strategic imperative but a significant driver of business value and organisational performance, drawing upon recent studies and real-world examples. LOREN SHUSTER - Lego’s Blueprint for Modern HR: People, Places and Culture - Loren I. Shuster, Chief People Officer at the LEGO Group joins me to discuss Lego’s blueprint for modern HR. CRAIG STARBUCK – Understanding the Build vs. Buy Dilemma in People Analytics and HR Tech – Craig Starbuck, PhD reflects on his decade long journey in the field and provides insights on aligning people analytics with business priorities, build vs. buy, ONA use cases, partnering with finance, and building data literacy in HR professionals. DAVID GREEN - How can HR use people analytics to revolutionise the workplace experience? – A round-up of Series 38 of the Digital HR Leaders podcast, with insights from Nickle LaMoreaux, Cole Nussbaumer Knaflic, Catherine Coppinger, Loren I. Shuster and Craig Starbuck, PhD. DAISY AUGER-DOMINGUEZ - Four Steps Towards Building a More Diverse and Inclusive Company Culture – Daisy Auger-Dominguez (she/her/ella) joins me to share insights from her book, Inclusion Revolution, including her four-step model (Reflect, Vision, Act, Persist) and how these principles can be practically applied to instigate meaningful change. KATE BRAVERY AND ILYA BONIC - Navigating the Future of Work: AI, Skills, and Trust in the Modern Workforce – Kate Bravery and Ilya Bonic of Mercer, two of the authors – along with Kai Anderson – of Work Different: 10 Truths for Winning in the People Age join me for a discussion on how AI and skills are shaping the future of work, workforce and workplace, and how organisations that prioritise trust and transparency will ultimately win. DAVID GREEN - Five Ways HR Creates a Thriving Organisational Culture – An article inspired by Series 37 of the Digital HR Leaders podcast, where we dug in to the anchors of culture to identify five ways in which HR can support a thriving organisational culture. These include employee listening, continuous learning, and empowering line managers. The article features insights from episodes with Rebecca Thielen, Didier Elzinga, Rob Briner, and Louise Millar / Olivia Edwards. LOOKING FOR A NEW ROLE IN PEOPLE ANALYTICS OR HR TECH? I’d like to highlight once again the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which now numbers over 525 roles. THANK YOU Amit Mohindra for including me in his post about people analytics and power, and for calling out Jeremy Shapiro’s seminal 2010 Harvard Business Review article, Competing on Talent Analytics, which was co-authored by Tom Davenport and Jeanne Harris. Paul David and the team at Literal Humans for including me in their list of The Top 43 HR Tech influencers to help promote your product. Anastasia Mizitova, SHRM-SCP, CPCC for endorsing Excellence in People Analytics. Sanja Licina, Ph.D. for her post about Excellence in People Analytics. Olimpiusz Papiez for sharing his key learnings on storytelling in people analytics, inspired by the recent Digital HR Leaders podcast episode with Cole Nussbaumer Knaflic: Mastering Storytelling for HR Transformation. Christopher Cerasoli for posting about the Digital HR Leaders podcast episode with Craig Starbuck, and highlighting the need for HR to speak the language of finance. Helena Turpin for including the Digital HR Leaders podcast in her six recommended podcasts for learning. Charlotte Chandler for also including the Digital HR Leaders podcast in her list of five recommended podcasts for HR professionals. Similarly, Mirro.io for including the Digital HR Leaders podcast in their list of 13 top HR podcasts Thomas Kohler for including the April edition in his round-up of recommended HR resources. Julia Reis for also including the Data Driven HR Monthly in her list of resources for HR professionals Juliette Matharan for including the podcast episode with Louise Millar and Olivia Edwards in her five podcasts of the month Qandle for including me in their list of Top 25 HR Influencers and Leaders to follow 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. SEE 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: June 4-5 - Insight222 European Peer Meeting (hosted by Nestlé in Vevey, Switzerland) - exclusively for member organisations of the Insight222 People Analytics Program June 25-26 - Insight222 North American Peer Meeting (Minneapolis, US) - exclusively for member organisations of the Insight222 People Analytics Program 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 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
    People Analytics Trends study
    2024年06月03日
  • People Analytics Trends study
    2024年将人力资源趋势和预测付诸实践的九种方法 新的一年如约而至。 新年带来新的潮流引导者,新的推动者和新的撼动者,标新立异的想法随之而来,推动进步。而一些趋势会随着市场的发展而变化,年年如是。 每年我们都会回顾去年的成功与失败经验,同时展望2024年的新机遇。2024年将会是划时代的一年。 经济萧条逐渐结束,我们处于新时代的前沿——人工智能时代,在这个时代我们对于文盲的理解变成了“智能文盲”,在工作场景中愈发明显。与此同时产生了复合效应,一些地区的工人需要更公平的工作环境,改进的DEIB策略以及孤立高管层的持续性影响。对于人力资源领导者来说,成为这些变革的先锋从未像现在这样重要。 在2024年保持领先地位 领导者需要有勇气继续跳出人力资源的框框思考,使用新兴技术而不是害怕它,并利用多代员工的独特技能。 然而,了解哪些趋势将推动未来的工作是一回事,了解领导者如何将这些趋势付诸实践才是成功的关键。为了帮助您了解,我们汇总了一些2024年顶级人力资源趋势和预测的优秀示例,并提供了一些有关如何将其付诸实践的可行提示。 正如你所看到的,人力资源在2024年如何发展似乎没有定论。从领导力战略到新兴人工智能、技能投资、多样性、道德、灵活工作,相互交织,随着人力资源世界的发展而不断涌现。 但是,如果仔细观察上述每一个人力资源趋势,你会发现有一些共同点,我们都认为这些共同点将在2024年对人力资源发展产生巨大的影响。 1.领导力与管理发展 最优秀的人力资源领导者明白变革是不可避免的,应该接受改变。正如 Visier 在他们的文章《人力资源的新规则》中所说的那样,变革并不一定是一场技术驱动的革命。它可以像改变视角一样简单。 正如 Visier 首席客户官 Paul Rubenstein 所说,“首席人力资源官(CHRO)必须结合业务数据了解人的绩效、敬业度和生产力,以应对当今的复杂挑战”。 到2024年,人力资源领导者将不仅仅是人事领导者,他们必须在人事管理节奏之外密切参与业务战略,以了解他们与最高管理层一样的工作背景。 然而,根据 Gartner 关于2024年人力资源领导者的 5 大优先事项的报告,“73%的人力资源领导者确认他们组织的领导者和经理没有能力领导变革”。 为了解决这个问题,大卫·格林(David Green)优先考虑赋予人事领导者权力,承认他们的工作量不断增加——“75%的人力资源领导者表示,他们的经理对工作职责的增长感到不知所措(89),而超过50%的经理说自己感到筋疲力尽”。 伯纳德·马尔(Bernard Marr)正确地指出,我们需要在下一代的背景下思考管理和领导力发展,而不仅仅是下一代领导者,而是下一代劳动力。Culture Amp 的研究支持这一点,强调“我们工作场所的代际权力平衡正在发生变化”——非常重视培养当前和未来的领导者,以重新获得进入劳动力市场的信任。在复盘全球正在进行的大规模辞职现状,以及心理安全在有效的混合工作团队中发挥的重要作用时,这一点尤其明显。 因此,从重建习惯管理和管道调整,到取决于管理者独特技能而重新调整的工作流程(而不是期望每个管理者都以同样的方式领导),提供了大量的可能性,可以真正彻底改变2024年的领导方式。2.组织文化与混合工作 如果你认为弹性工作已经一去不复返是因为一群老板希望人们回到办公室,请你再想一想其他原因。因为混合时代才刚刚开始。 思考一下 David Green 关于他对2024年人力资源机会预测的文章中强调的要点: “十分之八的首席人力资源官表示,他们没有计划在未来12个月内减少远程工作的数量”。 “自大流行以来,90%的公司已经接受了一系列混合工作模式”。 “现在,大多数员工有超过25%的时间在远程工作”。 再加上2023年10月,美国近 30% 的带薪日是在家工作。 我们现在所处的时代,人力资源领导者在根据这些变化带领调整公司整个组织结构发展方向上占主要地位。 人力资源领导者应使用数据和分析来为个人发展和绩效设定更好的期望。这也将减少文化发展的“一刀切”方法,并创造Visier所说的“增加的确定性”。事实上,当他们的研究表明“这些执行办公室申报表的公司中有三分之一的公司很难招聘新员工”时,我们比以往任何时候都更需要实施真正的组织变革,以满足新员工的需求。 大卫·格林(David Green)对此的做法集中在“人性化领导”上,即将员工福祉和个性化服务放在人员管理和和企业管理的核心——“建立一个更公平、更健康、更人性化的组织不仅是对员工的‘正确做法’,也是推动企业成功的选择”。 当然,说起来容易做起来难——Gartner 说,“47%的人力资源领导者都不知道如何推动变革以实现所需的文化”。 但是,解决之道是否在于创造更有意义的体验?Culture Amp 延续了这一思维框架,强调创造“值得通勤的体验”对于保持团队创造力和动力至关重要。 伯纳德·马尔(Bernard Marr)考虑了混合工作时代团队凝聚力和有效管理的影响,Mercer在其文章《2024年5个人力资源趋势:你能做些什么来保持领先?》中也将其作为重中之重,尤其是以灵活的思维方式领导的想法。 总而言之,在劳动力规划、职业处理、办公室使用和绩效方面进行可持续的组织变革必须评估各种投入,例如技术、保留策略和员工倾听,还有许多方面将在下文讲。 3.技术集成与人工智能 现在我们正处于真正的时代趋势之中——人工智能,以及技术发展的前沿。 毫不奇怪,上面引用的每一项研究都强调人工智能(包括生成式人工智能),这是2024年人力资源的重大转变。但人工智能并没有从某个职业中剔除数百万美元,也不会导致公司大规模裁员、突然倒闭。人工智能正在改变工作方向,而不是工作本身,在人工智能时代,帮助工人培养人工智能相关技能将使人们在工作中保持安心和快乐。 仅从生产力、敬业度和业务成功的角度来看,人工智能就是一个游戏规则的改变者: Visier ——“29%的工人表示,使用生成式人工智能工具每天可以节省30分钟到一个小时,而18%的人可以节省三到四个小时”。 Unleash ——“76%的人力资源领导者已经在讨论如何在工作场所使用人工智能,38%的人正在正式评估这项新兴技术”。 Gartner ——“76%的人力资源领导者认为,如果他们不在未来12到24个月内采用和实施生成式 AI,他们将在组织成功方面落后”。 然而,在数字人力资源领域这样一个令人兴奋的领域里,成功取决于某个类似却独特的东西——了解自己的极限。例如,我们鼓励每位人力资源主管在阅读本文时问自己以下几点: 您了解组织人力关系与数字关系的局限性吗? 您是否审核了员工对数字化转型的准备情况? 您有没有评估过什么是好的变化,你知道如何衡量它吗? 最后,您是否了解人工智能供应商的格局——谁在制造什么,有什么作用,对你有用吗? 从这开始,您将更好地了解 AI 如何为您提供帮助。 4.基于技能的战略劳动力规划方法 “转型的头号挑战是缺乏工作能力和技能,但只有五分之二的人力资源专业人士了解其组织该有的技能”——Mercer《2024年5个人力资源趋势:你能做些什么来保持领先?》 战略性劳动力规划(SWP)需要一种默契,即战略本身意味着对招聘和留住人员的转变方式保持敏感,而平衡全部人力资源责任和预算潜力意味着要对 SWP 的流程进行长期审视。 这包括从更多基于技能的角度看待技术,尤其是在数字化转型时代。正如 Visier 所强调的那样,“86%的员工表示,他们的雇主应该在技能再培训方面发挥更多作用,以确保他们不会轻易被人工智能工具取代”。 Gartner 认为内部流动令人信服的影响是成功的关键,“66%的人力资源领导者(他们自己也同意)其组织内的职业道路与许多员工的职业道路相比并不引人注目”。 创造一个引人注目的工作文化不会付出很大的代价,而是意味着为员工和业务发展赋予意义,并为企业完美地穿针引线,帮助企业和个人发展相关专业知识。正如大卫·格林(David Green)所强调的那样,这意味着要推动以技能为基础的SWP招聘,并将更大的业务目标与人力资源优先级联系起来,Mercer证实了这一点。 5.人员分析和加强决策能力 如果数据不能产生影响,那它还有什么用呢? 说到这,David Green 再次强调了关于人员分析如何在 CHRO 层面创建增强决策文化的可用情报,该文化将集中在人员分析和 CHRO 之间改进的关系上, “Insight222 的第四届年度人员分析趋势研究发现,人员分析的重要性和影响力继续增长,22%的人事分析领导者正在向首席人力资源官报告”。 人员分析领导者和首席人力资源官都需要将大量不同的业务优先事项和数据集结合起来,以推动个性化决策。这包括将伦理、数据民主化、数据影响和业务优先事项的影响放在组织转型和成功的保护伞下。 这意味着最优秀的人员分析专业人员可以提供可分析并可付诸实施的洞见-正如 Visier 所强调的那样,这就是为什么如此多的小型和新兴公司处于竞争激烈的时代,因为他们可以使用大量超详细的大数据以更敏捷的方式创建更具吸引力、更敏锐的业务决策。 6.与业务保持一致 一致性对许多人来说有很大的意味,但从本质上讲,如果人力资源部门要继续并提升其价值并确保组织敏捷性,那么: HR 和最高管理层需要加强联系。 人力资源和财务部门需要更加紧密地联系在一起。 David Green 通过 Insight222 的研究来证实,人力资源和财务部门越来越需要同步工作——“在271家公司中,接受调查的65家公司确认他们已经与财务部门建立了合作伙伴关系,其中99%的公司报告说,人员分析团队在过去12个月中取得了巨的成果”。 在2024年,为人力资源分析构建业务案例不是我们必须做的事情,但可惜的是,这通常是正在进行的人力资源预算和投资的核心对话。 解决之道在于使用最清晰、最明显的工具——人员和数据——来讲述人力资源故事。这种共生关系正是Visier研究所强调的,并建议人力资源领导者将他们的人员管理思维方式转变为“人力资源是一种操作系统,而不是一种运营模式”。 7.提高人力资源和劳动力的技能 这场无休止的技能提升之战将持续到2024年。但它将有自己的特点,在某种程度上受到人力资源投资性质变化以及人工智能和新技术的光速发展的影响。 伯纳德·马尔(Bernard Marr)对此的独特见解说明了这一领域的情况-——“了解生成式人工智能等变革性技术将如何增强现有人员能力,以及需要哪些素质和能力(战略思维,解决复杂问题,创造力,情商)来补充机器的短板”。 在人工智能时代,人机界面的发展将对劳动力如何重新掌握技能和提高技能产生巨大影响,随着数字原住民担任越来越多的领导角色,一般计算机素养和用户体验/用户界面的持续发展也将产生巨大影响。但是,当“到2028年,44%的工人技能将被颠覆”时,技能提升应该被正确地推到投资组合优先事项清单的首位。 8.多元化、公平、包容和归属感(DEIB) 大流行后“大辞职”生态系统的一个支柱是工作场所中的平等——更公平的工作条件、更多的工作与生活平衡、更好的代表性和更具包容性的工作场所。 2023年,我们认为释放 DEIB 的力量是未来一年人力资源领导者的重要关注点,利用分析工具和情绪分析工具等多种工具来改善招聘可衡量指标。 那么我们现在处于什么位置呢?尽管我们为使 DEIB 脱颖而出所做的所有艰苦工作,但仍许多需要做,正如 Visier 在下面的研究。 DEIB 策略确实存在失去重点的风险。但请记住,一家拥有成熟的多元招聘文化、建立在包容性工作场所基础上的公司,对从公司业绩到 ESG 的方方面面都有深远的积极影响。正如大卫·格林(David Green)提醒我们的那样,大多数工人认为DEIB是一件好事,其商业案例也很清楚。 “Insight222 的研究发现,在2023年(连续第三年),DEIB 是人员分析增加最多商业价值的领域”。 2024年应该是我们推进 DEIB 的一年,保持势头并推动积极变革。 简而言之,坚持到底——现在放松警惕将导致长期劳动力规划(WFP)的严重失败,同时增加代表性不足的社区的变革机会。 9.提升员工敬业度和留任率的新方法 最重要的是,许多提高员工敬业度的新方法将决定未来一年的企业发展。 2023年独特的经济困境催化了英国、法国、德国和美国这一代人中一些最大规模的工作场所罢工,而普遍的技能短缺继续困扰着多个行业。伯纳德·马尔(Bernard Marr)将过去几年从被动接受不良工作规范到主动采取行动的转变带入了敏锐的视角——“根据美国劳工统计局的数据,涉及1,000多名工人停工,比2021年停工人数多了近 50%”。 Unleash 进行的研究表明,绩效和生产力已成为2024年人力资源领导者的首要任务,从敬业度中夺得桂冠。但在混合时代,二者缺一不可。敬业度被渗透到组织的方方面面,而2024年是实现这一目标的一年。 在2024年,我们需要通过加强员工体验的个性化,通过真实、有意义的参与来提高生产力(和幸福感),David Green 强调这是他为 HR 培养倾听组织的第12次机会。然而,正如 Unleash 所强调的那样,“不仅要关注员工调查中的指标,还要分享员工故事,以真正了解数据对高管的意义”。 为此,人力资源、员工和领导层之间应该建立一种,在道德领导、薪酬透明度(正如 Culture Amp 正确强调的那样)薪酬差距报告以及 Mercer 所强调的值得认可的基础上的关系。 将敬业度与业务和个人成果联系起来至关重要。Mercer薪酬调查和数据业务负责人Chi Tran完美地描述了这一演变。 “新冠肺炎疫情之前起作用的管理方式不再有效......留住员工将是一个重点,这意味着在职业道路、技能再培训和技能提升方面优先考虑员工福利。我们还看到,雇主将更大比例的薪酬预算用于可变薪酬,这些薪酬可以根据业务绩效进行调整。 2024年及以后的人力资源趋势 作为各地人力资源领导者的缪斯女神,Hung Lee 在他的文章《2024年:决定人力资源领域的7个趋势》中说到: “员工体验不容小觑——对于许多组织来说,这将是一场文化革命”。 在2023年经济动荡之后实施新战略将非常困难,而整个组织的支持是关键。如果能注意到上述情况,我们相信人力资源团队可以确保他们的组织采取积极主动的方法来提高工作场所绩效、幸福感、敬业度,以及至关重要的留住优秀员工。 2024年——充满无限可能性的一年! 利用 Insight222解锁人员分析功能 在 Insight222,我们的使命是通过将人员分析置于业务中心并提高人力资源专业的技能来使组织变得更好。Insight222 人员分析计划®是您通往知识、网络和成长世界的门户。该计划专为人员分析领导者及其团队开发,为您提供创造更大影响力所需的工具、见解和关系。 随着人员分析的格局变得越来越复杂,数据、技术和行业道德越来越重要,我们的计划汇集了一百多个组织,共同应对这些挑战。 Insight222 同行会议是 Insight222 人员分析计划®的核心组成部分。它们允许参与者一起学习、交流和共同创造,最终提高人员分析可以为其组织提供的业务价值。 SOURCE MyHRfuture  
    People Analytics Trends study
    2024年01月17日