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.

Check out this episode of the #1 people analytics podcast with special guest, Scott Hines, Previous Co-Host of Directionally Correct! In this long-awaited reunion episode, Cole and Scott reconnect after Scott's time away from the mic, diving into a candid, wide-ranging conversation that blends humor, reflection, and sharp insight on the evolving world of work, technology, and people analytics. The discussion opens with Scott’s decision to step away from the podcast, driven in part by personal reflection following the loss of his mother and a reassessment of how he spends his time. What follows is an honest look at the hidden effort behind content creation, the opportunity cost of side projects, and the reality that even passion projects can become demanding commitments. As the conversation unfolds, the two explore how advances in AI are reshaping not just workflows, but the very nature of knowledge work itself. From fully automated academic research to AI-powered coding and reporting tools, they reflect on the accelerating pace of change and the tradeoffs that come with it, including the subtle erosion of foundational skills. At the same time, they wrestle with the paradox of wanting to stay current in a rapidly evolving tech landscape while avoiding the noise, hype, and constant distractions that come with it. This tension shows up in their discussion of digital minimalism, notification fatigue, and the idea of building a “command center” for life and work. The episode also revisits core people analytics topics, including the relationship between cognitive ability and personality, the nuances of assessment design, and the ongoing debate around prediction, fairness, and subgroup differences. Scott brings his signature analytical lens, while Cole connects these ideas back to real-world applications and the future of workforce strategy. They also touch on broader societal themes, from generational shifts in workplace behavior to the potential long-term impacts of pandemic-era disruptions on social and cognitive development. True to form, the episode mixes depth with levity. The duo riff on everything from the “Gen Z stare” to the absurdity of hyper-competitive pickleball, while also tackling more serious ideas like workplace surveillance, the changing nature of organizations in an AI-driven world, and whether academia should still be viewed as a calling or simply another job under pressure. Throughout, there’s a consistent thread: questioning assumptions, challenging norms, and trying to make sense of a world where the boundaries between human and machine capabilities are increasingly blurred. The episode closes on a high note with updates on Scott’s new role at HRBench and Cole’s continued growth of the podcast and broader ecosystem, signaling that while things evolve, the core mission of exploring people analytics and the future of work remains as strong as ever. If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.

Check out this episode of the #1 people analytics podcast with special guests, Maria Nolazco Masson, People Operations, Analytics & Systems Senior Manager at IPSY & Paola Alfaro, Founder at HumanWorks! In this wide-ranging and deeply honest conversation, host Cole Napper explores what is really happening in the people analytics space across Latin America, the challenges professionals in the region face as the discipline matures, and why the future may be far brighter than many expect. Maria and Paola share firsthand perspectives from inside the rapidly evolving LATAM people analytics community. Rather than inheriting mature analytics infrastructures like many organizations in North America or Europe, many companies across Latin America are building the plane while flying it—creating people analytics capabilities from scratch while simultaneously educating leaders on the value of workforce data. The conversation highlights how professionals in the region are navigating limited resources, fragmented systems, and a lack of established data teams while still pushing the field forward. Maria reflects on her unconventional path into analytics, beginning with operational HR reporting and gradually evolving into deeper data work across systems, dashboards, and storytelling. She shares how her early career focused heavily on technical execution—pulling data, building charts, and automating reports—before she realized the real impact comes from translating numbers into narratives that influence decisions. Today, her focus is on helping organizations move beyond descriptive dashboards toward meaningful insights that actually shape business outcomes. Paola complements this perspective by discussing the realities of consulting with organizations that often lack the foundational data infrastructure required for analytics. Her work frequently begins not with optimization, but with education—helping leaders understand what data governance, data culture, and analytical thinking even look like in practice. She also discusses her early “aha moment” discovering people analytics as a discipline and how that experience shaped her mission to bring more structured analytics methodologies into HR across Latin America. Throughout the discussion, the group explores several themes shaping the future of the field: the growing influence of AI on analytics workflows, the importance of data governance as organizations scale their analytics capabilities, and the rising need for professionals who can translate insights into action. Maria and Paola both emphasize that while tools and automation are accelerating rapidly, human context, interpretation, and influence remain essential to turning data into impact. The episode also highlights the growing momentum of the LATAM people analytics community itself. Paola shares how regional leaders are building stronger networks, launching conferences, and creating communities where practitioners can collaborate, learn, and accelerate the adoption of workforce analytics practices across countries. This spirit of collaboration, adaptability, and curiosity may ultimately become Latin America’s greatest advantage as the field evolves globally. Along the way, the conversation touches on personal career growth, navigating impostor syndrome, building confidence with data, mentoring the next generation of professionals, and balancing technical expertise with the communication skills required to influence executives. Both guests bring thoughtful, candid perspectives on what it really takes to grow in a field that continues to reinvent itself. If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.

Check out this episode of the #1 people analytics podcast with special guest, Dr. Gary Russo, Executive Director of Workforce Intelligence at Providence Health! In this wide-ranging and deeply human conversation, Cole sits down with Gary to explore what it really means to build and sustain a people analytics function for more than a decade inside one of the largest not-for-profit health systems in the United States. Gary reflects on hitting his ten-year mark at Providence Health & Services and what it takes to move beyond the AI hype cycle that has dominated so many analytics conversations. Rather than chasing headlines, he shares how real progress often happens in small, unglamorous steps: defining terms, building trust, clarifying governance, and laying foundations so better decisions can take root years later. From early debates about what “analytics” even meant to establishing strategic HR data governance across dozens of executives, Gary explains why perseverance and continuity of vision matter more than any single dashboard or model. The discussion dives into how healthcare fundamentally differs from other industries. In a world where leaders can honestly say they skipped your email because they were saving lives, prioritization hits differently. Gary unpacks the unique reimbursement model of healthcare, where organizations are rewarded when patients get well and do not return—creating an industry that is, in many ways, funded to keep itself out of business. He also explores the looming workforce crisis driven by aging populations, chronic disease, and nurse shortages, and why creative, nontraditional pathways into care delivery may be essential to sustaining the system. AI gets a reality check as Gary distinguishes between generative buzzwords and the quieter power of automation, robotics, and computer vision already transforming surgery and diagnostics. He emphasizes that governance—clear definitions, aligned metrics, and shared language—is the prerequisite not only for AI, but for productive conversations between HR, finance, and operations. Sometimes progress begins with something simple, like distinguishing between “position FTE” and “worked FTE” so debates end and better questions can begin. Throughout the episode, Gary blends neuroscience, therapy insights, improv training, and even fire performance into his leadership philosophy. He shares how relationship counseling principles apply to employer-employee dynamics, why listening goes far beyond surveys, and how understanding human uncertainty is central to responsible analytics. The conversation also tackles burnout, pessimism, social isolation, hybrid work, and the growing gap between strategy and so-called “data fluency” problems—challenging the assumption that unused dashboards signal a skills issue rather than a clarity issue. At its core, this episode is about using analytics in service of something bigger: putting more caregivers at the bedside, strengthening communities, and making decisions that ripple far beyond a spreadsheet. If you care about the intersection of AI, workforce planning, healthcare, and long-term culture change, this is one you won’t want to miss. If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.

Check out this episode of the #1 people analytics podcast with special guest, Rob Dees, Senior Director of People Analytics & Insights at Target! In this wide-ranging and deeply thoughtful conversation, Rob joins the show to explore what it truly means to bring decision science into people analytics, how a product-based operating model can transform HR, and why employee listening should be treated as an intelligence function—not just a sentiment survey. Drawing on more than 20 years of military leadership experience and his academic background in decision science, Rob unpacks his “three-legged stool” framework for decision quality: alternatives, information, and preferences. He explains why organizations often over-invest in data while underinvesting in clarifying objectives, and how value-focused thinking can elevate workforce decisions from reactive to strategic. Whether discussing optimization models, AI-enabled decision support, or human capital investment, Rob consistently returns to one central principle: leaders must own the objective function. The conversation dives into what it’s like to lead a 60-person people analytics team inside a complex enterprise. Rob shares how adopting a product operating model—with short sprints, user personas, rapid prototyping, and disciplined routines—helps teams move from slide decks to shipped insights. He outlines how a comprehensive and continuous listening strategy acts like a network of sensors on the battlefield, creating a common operating picture of the employee experience. By combining employee sentiment with operational human capital metrics, organizations move beyond awareness to real understanding. One of the most compelling segments revisits Rob’s early work measuring the “whole soldier” at West Point, where he helped build a data-driven model around heart, body, and mind. That experience shaped his philosophy that performance models must integrate values, trade-offs, and measurable objectives. He connects those lessons to modern employee value propositions, showing how leaders can think in terms of optimization: if you had finite resources to invest in pay, flexibility, development, or belonging, where would you allocate them for maximum impact? The episode also explores the intersection of AI and decision science. Rob explains how machines excel at processing information and generating alternatives, but humans must define preferences and constraints. In an era of generative AI and prompt engineering, the discipline of structuring objectives becomes more—not less—important. Without clarity on what you are optimizing for, even the most advanced models will miss the mark. Finally, Rob reflects on leadership under pressure, including the powerful question: do your soldiers know your voice in the dark? From quarterly feedback rhythms in the military to continuous feedback cultures in business, he argues that clarity, proximity, and disciplined listening are foundational to performance. If you care about the future of workforce intelligence, employee listening, AI-enabled decision-making, or building a high-impact people analytics function, this episode will challenge and sharpen your thinking. If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.

Check out this episode of the #1 people analytics podcast with special guest, Amy Armitage, Program Director for Human Capital Analytics and Strategic Workforce Planning at The Conference Board! In this wide-ranging and deeply thoughtful conversation, Cole Napper sits down with Amy to explore how the future of work is taking shape in early 2026 and why many of the long-standing assumptions in HR, workforce planning, and people analytics are being actively challenged. Amy shares how her current focus on workforce transformation is rooted in four core themes: technology’s expanding role in shaping business strategy, rising transparency driven by digital systems, the growing importance of trust inside organizations, and the central role of teams in creating sustainable business value. Drawing on her leadership of The Conference Board’s Human Capital Analytics Council and Future Workforce Strategy and Planning Council, Amy explains how closed-door, vendor-neutral communities are helping senior leaders move from polished presentations to honest problem-solving conversations that address AI adoption, skills skepticism, learning, and execution at scale. Throughout the episode, Amy and Cole unpack what differentiates U.S. and European perspectives on the future of work, including how economic pressure, infrastructure investment, and regulatory environments shape mindsets around AI, skills, and workforce sustainability. Amy reflects on her experience producing major global events, including cross-functional conferences in New York and Brussels, and why solving human capital challenges requires collaboration across HR, finance, strategy, sustainability, and governance rather than remaining siloed within HR alone. The discussion also dives into human capital standards, including ISO 30414, and why comparable, outcome-focused metrics are becoming essential for boards, investors, and executives who want to link workforce decisions directly to financial performance and long-term value creation. Listeners will also hear Amy’s perspective on the evolving role of HR as fiduciary, workforce advocate, and public steward, the tension that exists when organizations over-index on one role at the expense of others, and how data, analytics, and standards can help balance those competing demands. The conversation spans everything from AI’s impact on executive coaching and workforce planning to why learning may ultimately matter more than narrowly defined skills, how trust is eroding inside organizations, and why high performance is best understood as a system-level outcome driven by teams and context rather than individual traits alone. In Cole’s Corner, Amy reflects on her unconventional career path from environmental journalism to finance to HR consulting and community leadership, shares where she sees AI headed next, and offers candid insights from the many behind-the-scenes executive discussions she facilitates. This episode is packed with practical insights, big-picture thinking, and grounded realism for anyone navigating people analytics, workforce strategy, HR leadership, or AI-driven transformation in today’s uncertain environment. If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.

Check out this episode of the #1 people analytics podcast with special guest, JR Keller, Associate Professor & Faculty Director of the Executive Master of Human Resource Management Program at Cornell! In this wide-ranging and deeply practical conversation, JR joins the show to unpack what actually works when organizations try to build internal talent marketplaces, rethink career mobility, and align people strategy with real business outcomes. Drawing on his academic research, teaching experience, and extensive work with practitioners, JR challenges common assumptions about skills-based organizations, career paths, and the role of managers in enabling growth at scale. Throughout the episode, JR and the hosts explore why so many internal mobility efforts fail despite good intentions, and what separates meaningful progress from surface-level adoption. JR explains how organizations can move beyond buzzwords to create systems that truly connect employees to opportunities, while also meeting leaders where they are. The discussion digs into the tension between central talent strategies and frontline realities, and why ignoring that gap often derails even the most sophisticated people analytics initiatives. Listeners will hear thoughtful insights on how data, transparency, and trust intersect in talent systems, as well as the cultural and structural barriers that slow momentum. JR shares examples from both research and practice that illustrate how internal marketplaces can reshape careers when designed with clarity and empathy, and why incentives, governance, and leadership capability matter just as much as technology. The episode also touches on the evolving expectations of workers, how organizations should think about skills versus jobs, and the implications for HR leaders trying to future-proof their workforce. This conversation goes beyond theory, offering grounded guidance for HR, people analytics, and talent leaders who are wrestling with real-world constraints. JR’s perspective brings nuance to debates around AI, skills taxonomies, and internal opportunity platforms, emphasizing that sustainable change comes from aligning systems, behaviors, and values over time. Whether you are just beginning to explore internal mobility or trying to course-correct an existing program, this episode delivers practical takeaways and strategic framing you can apply immediately. Listenin challenge your assumptions. If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.

Check out this episode of the #1 people analytics podcast with special guest, George LaRocque, Founder of WorkTech! In this wide-ranging and deeply analytical conversation, Cole sits down with George to unpack the evolution from “HR tech” to “work tech,” why that distinction matters, and how shifting investments are redefining who technology is really being built for. George explains how early HR systems were designed primarily for back-office users, but how modern work tech increasingly serves employees, candidates, and the broader enterprise, driven by advances in data, AI, and platform thinking. The discussion takes a forward-looking turn as Cole and George follow the money to understand what innovation will actually mature over the next several years. George shares detailed insights into venture funding trends, why innovation is never uniform, and how the post-2021 investment bubble reshaped the startup landscape. They explore why so many early-stage vendors now feel stuck, how lower barriers to entry created a flood of new solutions, and why owning durable, non-transient data has become the single most important strategic advantage in the age of AI. George also breaks down which domains are seeing real adoption versus hype, including high-volume recruiting, HR service delivery, payroll and compensation, benefits, learning, performance management, and the emerging influence of the office of the CFO on workforce strategy. A central theme of the episode is adoption and ROI. George explains why AI succeeds where transaction volume is high, pain is obvious, and value can be clearly measured, and why many organizations are still far earlier in AI maturity than headlines suggest. The conversation also dives into people analytics, strategic workforce planning, and talent intelligence, with a candid assessment of why these areas require massive, long-term data investments and why platforms and true data owners are positioned to win. Along the way, George shares perspectives from his work running the HR Tech Pitchfest, investing in early-stage companies, hosting the WorkTech Podcast, and advising founders, buyers, and investors across the ecosystem. The episode wraps with a rapid-fire Cole’s Corner segment touching on AI use cases no one is talking about, the future of workforce management, dashboards versus data storytelling, and the human implications of agentic workflows and automation. This is a must-listen episode for anyone who wants a clear-eyed, data-driven view of where work tech is actually headed, what will matter in 2026 and beyond, and how leaders can cut through the noise to focus on what truly drives impact. If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.