Directionally Correct, A People Analytics Podcast

Thanks to HRBench for powering this episode. To find out more about the company building the future of people intelligence, reach out to book a demo at hrbench.com/directionallycorrect !

Check out this episode of the #1 people analytics podcast with special guest, Allen Kamin, Practice Leader, Organizational Effectiveness at Oracle!

In this wide-ranging and thought-provoking conversation, Cole Napper sits down with Allen Kamin to explore some of the biggest questions facing people analytics, organizational effectiveness, workforce strategy, and the future of work in the age of AI. Drawing on a career that spans Oracle, Google, GE, consulting, and decades of involvement in industrial-organizational psychology, Allen shares lessons from the front lines of organizational transformation and explains why many companies may be focusing on the wrong problems as AI rapidly reshapes how work gets done.

The discussion begins with one of Allen’s most influential ideas: the concept of the digital twin. Long before generative AI, large language models, and AI agents entered the mainstream, Allen was exploring how organizations could create digital representations of workers based on the behavioral data and “digital exhaust” employees generate every day. Together, Cole and Allen unpack what digital twins actually mean, how employee monitoring technologies have evolved, where organizations may be overreaching, and whether AI systems will ever be capable of fully replacing knowledge workers.

Allen reflects on how his original predictions have aged over the past decade, what he got right, what surprised him, and why the emergence of agentic AI may fundamentally alter how organizations make decisions, collaborate, and distribute work between humans and machines.

The conversation then shifts into several of Allen’s recent articles and thought leadership pieces. He explains his concept of the “day after problem” in people analytics and argues that the field has become overly focused on building dashboards and delivering data while often neglecting the harder challenge of influencing decisions and changing organizational outcomes. As AI makes reporting easier than ever, Allen argues that the future of people analytics will be determined not by better dashboards but by better decisions.

Cole and Allen also discuss why many HR systems are optimized for approval rather than actual use, why organizations often design solutions from the inside out instead of the outside in, and how excessive complexity can undermine even the most technically sound programs. They explore the importance of user-centered design, manager adoption, and balancing scientific rigor with practical utility.

The discussion expands into systems thinking and organizational effectiveness as Allen shares his perspective that every function within HR can be doing its job perfectly while the organization as a whole still fails. Using examples from sports, large global enterprises, and executive leadership teams, he explains why organizations need better mechanisms for prioritization, governance, and cross-functional alignment.

Along the way, Allen reflects on his career journey, his involvement in the industrial-organizational psychology community, the value of professional relationships, lessons learned from consulting and corporate leadership roles, and his perspective on what separates meaningful work from merely productive work.

The episode concludes with a lively discussion on AI, workforce planning, employee experience, organizational culture, executive leadership, employee listening, engagement research, career development, and the future role of people analytics in an increasingly complex business environment.

Whether you're a people analytics leader, HR executive, workforce planner, organizational psychologist, consultant, manager, or simply someone fascinated by how AI is changing work, this episode offers a thoughtful and practical look at where organizations are headed next.

If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.

Thanks to HRBench for powering this episode. To find out more about the company building the future of people intelligence, reach out to book a demo at hrbench.com/directionallycorrect !

Check out this episode of the #1 people analytics podcast with special guests, Angela Le Mathon, VP, Workforce Intelligence & Insights at Walmart & Sandra Loughlin, Chief Learning Scientist at EPAM!

In this wide-ranging and highly thought-provoking conversation, Cole Napper sits down with two of the most influential voices shaping the future of workforce intelligence, skills strategy, organizational design, and AI-enabled work. Together, they tackle one of the biggest debates currently unfolding across HR, people analytics, workforce planning, and business leadership: What is the true unit of work in the AI era? Is the future built around skills, tasks, jobs, agents, or something entirely different?

Sandra explains why skills remain one of the most important—and misunderstood—constructs in organizational science. She explores why skills are measurable despite being latent constructs, why organizations must improve how they identify and validate skills, and why skills data may become foundational to workforce decision-making in the years ahead. Angela brings a complementary perspective focused on tasks, work decomposition, and business impact, explaining why tasks have become central to many AI transformation conversations and how organizations can think more systematically about measuring and redesigning work.

The discussion expands into the rapidly evolving relationship between humans and AI. Cole, Angela, and Sandra examine whether AI agents should be treated as workers or technology, the psychological implications of anthropomorphizing AI, and why organizations must be careful not to lose the uniquely human elements of collaboration, judgment, learning, creativity, and meaning-making.

The conversation also explores how AI may fundamentally reshape HR itself. The group discusses whether traditional HR operating models remain fit for purpose, how AI could force organizations to rethink decades-old assumptions about work and workforce management, and why understanding work at a far more granular level may become a strategic necessity. Along the way, they debate organizational incentives, AI adoption realities, employee concerns, workforce transformation maturity, and the gap between vendor promises and practical implementation.

Angela shares insights from Walmart’s perspective on human-centered AI adoption, highlighting why technology should ultimately serve employees rather than replace them. Sandra introduces emerging ideas around AI-native organizations, workforce intelligence, and the concept of a “Knowledge Office”—a future organizational capability designed to sense, interpret, activate, and sustain value from enterprise knowledge and data.

The discussion also dives into skills architectures, capability orchestration, adaptive labor models, organizational learning, employee surveillance concerns, workforce data infrastructure, talent mobility, knowledge management, and the growing importance of understanding how work actually gets done rather than relying on outdated job descriptions and static organizational structures.

Whether you're a people analytics leader, CHRO, workforce planner, learning leader, HR executive, organizational scientist, consultant, or business executive trying to navigate AI transformation, this episode offers a nuanced and refreshingly honest conversation about what is changing, what is not changing, and what organizations must understand if they hope to successfully redesign work for the future.

If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.

Thanks to HRBench for powering this episode. To find out more about the company building the future of people intelligence, reach out to book a demo at hrbench.com/directionallycorrect !

Check out this episode of the #1 people analytics podcast with special guest, Amy Stevenson, Senior Director People Insights at HP!

In this wide-ranging and highly practical conversation, Cole Napper welcomes back Amy Stevenson for a discussion that spans the evolution of people analytics, the realities of building enterprise-scale analytics capabilities, the future of AI in HR, and the leadership lessons that come from spending years turning strategy into execution.

Amy reflects on her journey building and scaling HP’s People Insights function over more than five years, sharing what it takes to create a sustainable analytics organization capable of delivering value in a rapidly changing business environment. Drawing on experience across multiple industries and leadership roles, she explains why successful people analytics teams must think beyond dashboards and reporting and instead focus on long-term capability building, organizational influence, and business impact.

A major theme throughout the discussion is the challenge of balancing innovation with governance. Amy provides a thoughtful perspective on the realities of working with sensitive workforce data, discussing the distinctions between privacy and security, the complexities of role-based access, and why HR data presents unique challenges compared with other enterprise data domains. She also explains why partnerships with legal, privacy, cybersecurity, IT, finance, and enterprise technology teams are becoming increasingly important as organizations develop broader AI and data strategies.

The conversation explores one of the most debated questions facing analytics leaders today: build versus buy. Amy shares how HP approached developing internal capabilities, the role of proprietary intellectual property, and how leaders can evaluate whether internally developed tools and methodologies truly create strategic advantage. She also discusses the importance of peer networks, professional communities, and trusted relationships in helping analytics leaders validate ideas, exchange knowledge, and avoid common pitfalls.

Cole and Amy spend significant time examining the impact of generative AI on people analytics. They discuss governance models, emerging organizational structures for AI oversight, the challenges of integrating HR data into enterprise AI ecosystems, and how leaders can responsibly explore new use cases while maintaining ethical standards and stakeholder trust. Amy argues that while AI will undoubtedly transform work, its greatest value may come from freeing professionals to spend more time on deeper thinking, creativity, and problem solving.

Beyond technology, the discussion repeatedly returns to leadership. Amy emphasizes the importance of relationships, credibility, and organizational trust as the foundations of successful analytics programs. She shares insights on gaining recognition for analytics work, influencing stakeholders, navigating enterprise transformation efforts, and ensuring that people analytics functions become trusted strategic partners rather than simply technical support teams.

The episode also ventures into talent, learning, and career development. Amy and Cole debate hiring for potential versus hiring for immediate qualifications, discuss what distinguishes exceptional performers, and explore how broad experiences often create stronger leaders than narrow specialization. They also examine the future career paths available to analytics professionals and why developing business breadth may be just as important as deep technical expertise.

As always, the conversation blends practical advice, intellectual curiosity, humor, and reflection, offering valuable lessons for analytics practitioners, HR leaders, and anyone interested in how organizations can better use data, technology, and human insight to make better decisions.

If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.

Thanks to HRBench for powering this episode. To find out more about the company building the future of people intelligence, reach out to book a demo at hrbench.com/directionallycorrect !

Check out this episode of the #1 people analytics podcast with special guest, Jay Van Bavel, Professor of Psychology & Neural Science at NYU and Author of “The Power of Us”!

In this wide-ranging and deeply thought-provoking conversation, Cole Napper sits down with Jay Van Bavel to unpack one of the most important—and often misunderstood—forces shaping organizations, workplaces, and society today: identity. Drawing from decades of research in psychology, neuroscience, group behavior, and conflict, Jay explains why identity is far more than an academic concept—it shapes how we think, what we value, who we trust, and how organizations succeed or fail.

At the center of the discussion is a powerful idea: we are shaped by the groups we join. Jay explains how identities act like lenses through which we interpret the world, influencing behavior, priorities, and even morality. Whether in workplaces, families, professional communities, or social groups, the identities we adopt quietly shape our decisions and relationships in ways most people underestimate.

Cole and Jay explore one of the defining workplace challenges of the modern era: rising polarization, incivility, and declining trust. Jay shares research on why remote work, shrinking social circles, and fragmented organizational identities may be contributing to lower cooperation and weaker connections at work. The discussion reframes psychological safety—not as avoiding conflict, but as creating environments where people can challenge ideas, disagree productively, and take interpersonal risks without fear.

The episode also dives into inclusion, bias, and organizational performance. Jay explains why diverse teams only outperform when paired with shared identity, inclusive norms, and psychological safety. He offers a nuanced perspective on why some approaches to DEI created backlash, what organizations misunderstood, and how leaders can foster inclusion in ways grounded in science rather than ideology.

Cole and Jay examine the hidden power of dissent, asking why organizations often punish the very people who care most about the group. Jay shares practical strategies for avoiding groupthink, encouraging constructive disagreement, and building cultures where dissent strengthens decision-making rather than undermining cohesion.

The conversation also explores why social skills may matter more than technical skills in the future of work, how Gen Z’s changing relationship with in-person interaction is affecting workplaces, and why relationship-building may become one of the most valuable capabilities in an AI-driven world. Along the way, they discuss conformity, culture fit, social media, moralization, and even the surprising story behind the rivalry that created Adidas and Puma as a lesson in identity and belonging.

If you work in HR, people analytics, organizational psychology, talent management, or simply want to better understand why people behave the way they do inside groups, this conversation offers practical, research-backed insights for building healthier and higher-performing organizations.

If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.

Thanks to HRBench for powering this episode. To find out more about the company building the future of people intelligence, reach out to book a demo at hrbench.com/directionallycorrect !

Check out this episode of the #1 people analytics podcast with special guest, David Edwards, Chief Workforce Strategist at Dark Artistry, Author of "The Strategic Workforce Planning Handbook"!

In this wide-ranging and deeply practical conversation, Cole Napper sits down with David Edwards to unpack one of the most important—and often misunderstood—disciplines shaping the future of work: strategic workforce planning. Drawing from decades of experience across HR, workforce strategy, and organizational transformation, David explains why workforce planning is far more than forecasting headcount. Instead, it is about ensuring organizations have a workforce fit for future business purpose—and understanding the risks that emerge when they do not.

David reflects on publishing The Strategic Workforce Planning Handbook and the challenge of writing in a field evolving at breakneck speed. He candidly shares how rapidly advancing AI capabilities made parts of the book feel outdated almost immediately, highlighting just how quickly workforce realities are shifting and why practitioners must constantly adapt.

A major theme of the conversation is the relationship between business strategy, workforce demand, and workforce risk. David explains why organizations often misunderstand “strategy,” arguing that workforce planning only becomes meaningful when deeply connected to business objectives. Through practical examples, he demonstrates how hidden vulnerabilities—aging talent populations, concentrated expertise, succession gaps, and critical capability shortages—can quietly threaten organizational performance if left unaddressed.

The discussion also explores the increasingly inseparable relationship between people analytics and workforce planning. David argues that workforce planning cannot exist without evidence, while analytics alone often lacks the context necessary to influence business decisions. Together, the two disciplines help leaders identify which parts of the workforce are truly strategic, where risks exist, and how talent decisions shape long-term business outcomes.

Cole and David spend significant time discussing AI’s accelerating impact on workforce planning itself. Rather than viewing planning as a static annual process, David envisions a future where AI enables more dynamic analysis of workforce risk, capability gaps, and changing work structures. The conversation moves beyond simple headcount questions to larger issues: How will AI reshape work? Which capabilities will become more valuable? And how should organizations prepare for a future changing faster than traditional planning cycles can handle?

Beyond strategy and frameworks, the episode takes a surprisingly personal turn as David reflects on his career journey—from volunteering as a teacher in Kenya at age eighteen to singing in a seventeen-piece soul band and helping redeploy employees at risk of losing their jobs. Those experiences shaped a deeply people-centered philosophy rooted not just in business outcomes, but in helping people navigate transitions and continue meaningful careers.

Cole’s Corner brings provocative debates on management quality, aging workforces, mentorship, knowledge transfer, and what organizations should do with long-tenured employees whose performance no longer matches evolving business needs. The episode closes with a thoughtful reflection on technological disruption, history, and human resilience as Cole and David consider whether today’s AI-driven transformation mirrors other moments of dramatic societal change.

If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.