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Directionally Correct, A People Intelligence Podcast

Directionally Correct, A People Intelligence Podcast

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Directionally Correct is the #1 people intelligence podcast in the world. Hosted by Cole Napper, the podcast dives into people intelligence, workforce planning, behavioral science, and talent analytics, helping leaders navigate the future of AI in the workplace with insight and a dash of fun. To find out more, check out colenapper.comAll rights reserved by WRKdefined Economics Management Management & Leadership Science
Episodes
  • What Analytics Do Startups & PE-Backed Firms Need? - Andrew Bartlow - #180
    Jul 6 2026
    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, Andrew Bartlow, Operating Partner & Senior Advisor at Altamont Capital Partners; Co-Founder, People Leader Accelerator! In this episode, Cole Napper sits down with Andrew Bartlow for a wide-ranging conversation on what HR and people analytics leaders can learn from the world of venture-backed startups, private equity, and high-growth technology companies. Drawing on decades of experience spanning engineering, HR leadership, venture-backed software companies, private equity portfolio operations, and executive coaching, Andrew explains why context—not best practices—should drive every people decision. Together, they unpack how venture capital, private equity, and public companies operate under fundamentally different business models, why HR leaders must understand investor expectations, and how those realities should shape workforce strategy, talent priorities, and the metrics that matter. Andrew demystifies concepts like bootstrapping, exits, venture funding, private equity ownership, and startup ecosystems while explaining how those forces influence executive decision-making and the role HR plays in creating business value. The discussion explores why business acumen is the defining capability for modern HR leaders and why people analytics should always begin with understanding how the company creates value. Rather than chasing universal scorecards or generic best practices, Andrew argues that every metric should align with the organization's current business context. They debate which workforce measures truly matter—including headcount versus plan, critical hiring progress, labor cost as a percentage of revenue, productivity, profitability, and growth—and why commonly reported metrics like eNPS often receive far more attention than they deserve. Cole and Andrew also explore how startup environments create entirely different talent dynamics than mature enterprises, why employee turnover is often driven more by external alternatives than internal dissatisfaction, and how labor markets, organizational stage, investor pressure, and company culture influence retention. They discuss talent density, organizational design, multi-incumbent roles, workforce planning, performance management, and why many HR teams mistakenly optimize for activities that executives value least. The conversation also covers Andrew's entrepreneurial journey building an HR technology startup, lessons learned from failure, the realities of software entrepreneurship, and why founder experience fundamentally changes how leaders think about business. They discuss AI's growing impact on HR, how automation will reshape business partner roles, why judgment remains uniquely human, and what tomorrow's HR leaders must do to remain indispensable as AI increasingly handles transactional work. Andrew also shares the philosophy behind People Leader Accelerator, how the program develops high-impact HR executives, why contextual thinking separates exceptional leaders from average ones, and what future HR professionals should prioritize if they want lasting influence inside their organizations. Whether you work in people analytics, HR business partnering, organizational effectiveness, workforce planning, talent strategy, executive leadership, or simply want to better understand how high-growth companies think about people and performance, this episode offers a practical masterclass in aligning HR with business outcomes in the AI era. If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.
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    1 hr and 26 mins
  • Is People Intelligence the Future? Unpacking a Manifesto - Cole Napper & Alexis Fink - #179
    Jun 29 2026
    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 our latest HR Tech Voices episode of 2026! In a special twist, host, Cole Napper, steps into the guest seat as he’s interviewed by special guest host, Alexis Fink, Founder of Propeller Insights and Co-Founder of the Data Driven HR Academy! We explore what "people intelligence" really means, Cole's People Intelligence Manifesto, and why people analytics isn't dead but instead is evolving into its next chapter. At the center of the conversation is Cole's People Intelligence Manifesto and the ideas that inspired it. Rather than arguing that people analytics is dead, Cole explains why the discipline is entering a new era where AI fundamentally changes how organizations collect, analyze, and act on workforce data. He introduces his vision for people intelligence as the convergence of people analytics, talent intelligence, workforce planning, and behavioral science into a unified function capable of driving faster, smarter business decisions. Alexis challenges many of the manifesto's boldest claims, leading to a thoughtful discussion about why organizations should stop treating dashboards as the ultimate deliverable and instead focus on creating business impact through decision support, organizational change, and intelligence. They explore why AI will increasingly automate descriptive reporting while elevating the importance of asking better questions, influencing leaders, and translating data into action. The discussion also examines why industrial-organizational psychology is becoming more important—not less—in the AI era. As work itself is redesigned around skills, tasks, jobs, and intelligent systems, they explain why expertise in job analysis, organizational design, behavioral science, and workforce strategy will become even more valuable than traditional reporting capabilities. Throughout the episode, Cole and Alexis debate whether people analytics professionals should remain scorekeepers or become active players helping organizations shape strategy and transformation. They discuss the responsibility of analytics leaders to create shared meaning from data, challenge executive assumptions when necessary, and guide organizations through one of the largest technological shifts in the history of work. The conversation also explores the growing gap between research and practice, why collaboration between academics and practitioners remains difficult, and how organizations can better bridge evidence-based science with real-world business decisions. They discuss the future of people analytics teams, the changing skills professionals should develop, the role of AI-native technology platforms, and why today's disruption creates enormous opportunity for those willing to evolve. Whether you're a people analytics leader, HR executive, workforce planner, organizational effectiveness professional, IO psychologist, HR technologist, or simply curious about how AI is reshaping the future of work, this episode offers an honest and thought-provoking look at where the profession is headed and why its next chapter may be even more exciting than its first. If you like this episode, you’d also love exploring prior episodes—visit colenapper.com for the full archive and show links.
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    58 mins
  • Is a Digital Twin Coming for You & Your Job? - Allen Kamin - #178
    Jun 22 2026
    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.
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    1 hr and 13 mins
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