Directionally Correct, A People Analytics Podcast with Cole & Scott Podcast By Directionally Correct A People Analytics Podcast with Cole & Scott cover art

Directionally Correct, A People Analytics Podcast with Cole & Scott

Directionally Correct, A People Analytics Podcast with Cole & Scott

By: Directionally Correct A People Analytics Podcast with Cole & Scott
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Directionally Correct, A People Analytics Podcast with Cole & Scott is the #1 People Analytics Podcast in the World! If you like the podcast, check out the Directionally Correct Newsletter on Substack, the #1 People Analytics Substack: https://directionallycorrectnews.substack.com/Copyright 2023 All rights reserved. Economics Management Management & Leadership Science
Episodes
  • #131 - Angela Le Mathon - AI-Native HR Operating Model & AI Agents for Skills/Tasks
    Jun 29 2025
    Help support the podcast: We are a listener supported podcast. By becoming a patron you will help us cover the costs of producing and distributing our podcast, while getting special premium access to the hosts. Please become a patron of Directionally Correct by going here: https://patron.podbean.com/directionallycorrect

    In this episode of Directionally Correct, host Cole engages with Angela Le Mathon, the fractional Chief AI Officer and former VP of People Data and Analytics at GSK. They discuss the evolving role of AI in people analytics, the complexities of managing diverse teams, and the importance of storytelling in data interpretation. Angela shares her experiences with deploying AI solutions in HR, discusses cultural influences on her approach to leadership, and explores the challenges of translating complex data into actionable strategies for CHROs. The conversation also touches on personal anecdotes, including Angela's Francophone upbringing and her journey across different countries, shaping her unique perspective in the analytics space.

    • Attraction Selection Attrition doesn't work right? Wrong.

    • Meta-analysis of faking on personality tests

    • No one has cracked AI for analytics

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    1 hr and 2 mins
  • #130 - Kris Saling - The US Army & Data Driven Talent Management
    Jun 22 2025
    Help support the podcast: We are a listener supported podcast. By becoming a patron you will help us cover the costs of producing and distributing our podcast, while getting special premium access to the hosts. Please become a patron of Directionally Correct by going here: https://patron.podbean.com/directionallycorrect

    In this episode of Directionally Correct, join Cole as he engages in a lively conversation with Kris Saling, the Director of Talent Innovation at the U.S. Army. Kris shares her fascinating journey from starting a food blog at the Pentagon to leading talent innovation efforts in the military. Discover how she integrates her love for data and analytics into effective talent management strategies.

    Learn about Kris's accidental yet impactful career path in the Armed Forces, her insights on fostering creativity and innovation within a structured environment, and the challenges of implementing people analytics in the U.S. Army. Kris also dives into her book "Data Driven Talent Management," offering listeners a practical guide to establishing people analytics programs.

    Whether you're interested in military careers, data analytics, or talent management, this episode provides valuable insights into how innovative thinking can transform traditional systems. Tune in and gain a whole new perspective on the intersection of data, talent, and military service.

    • Scott Reida - Evaluating talent hubs using AI

    • Social contract with layoffs and offshoring

    • Are our list of biases holding us back?

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    1 hr and 1 min
  • #129 - Drs. Mark Huselid & Alec Levenson - Workforce Analytics: A Global Perspective
    Jun 15 2025
    Help support the podcast: We are a listener supported podcast. By becoming a patron you will help us cover the costs of producing and distributing our podcast, while getting special premium access to the hosts. Please become a patron of Directionally Correct by going here: https://patron.podbean.com/directionallycorrect

    Welcome to another episode of Directionally Correct, a People Analytics podcast hosted by Cole. Today, we are joined by distinguished guests Mark Huselid, a renowned Professor of Workforce Analytics at Northeastern University, and Alec Levenson, a Director at the Center for Effective Organizations at the University of Southern California. This episode delves into the intricate world of workforce analytics with a focus on global perspectives, as our guests discuss their new book, "Workforce Analytics, A Global Perspective," co-authored with Martin Edwards and Dana Minbaeva.

    Dive into the conversation about how analytics has evolved beyond a North American-centric approach, addressing global challenges in measurement, legal standards, and cultural intricacies in talent management. Our experts discuss the interdisciplinary nature of workforce analytics, drawing parallels with fields like economics, psychology, and even insights from Charlie Munger of Berkshire Hathaway.

    This episode also highlights the importance of variance in analytics and how global collaboration from diverse professional backgrounds contributes to the richness of the book. Hear firsthand experiences from Mark and Alec about the challenges of integrating analytics into organizational strategy, and the journey of writing a book amidst a global pandemic.

    Perfect for listeners keen on understanding the future of people analytics and those looking to advance their knowledge on managing talent in a globally integrated manner. Be sure to subscribe to our Substack newsletter, watch our YouTube videos, and consider supporting us as a patron. All opinions are our own.

    • Why do scientists disagree even when they have the same data and methods

    • Alec’s previous book: Strategic Analytics (check out the big font version)

    • Mark’s previous books: The HR Scorecard, The Workforce Scorecard, and The Differentiated Workforce

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    56 mins
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