Predicting retention and turnover with David Allen and Brooks Holtom

December 17, 2019 Diana Thomas

Our understanding of retention and turnover has gotten incredibly complex in the age of big data. As internal and external data sources build a more complete picture, the question turns to how organizations should be deploying these predictions to their benefit. Professors David Allen and Brooks Holtom have built a model that predicts when employees will quit and conducted an in-depth study with live data. In this episode, they share some surprising findings about turnover and the reasons people stay in their jobs.  

You can connect with David on Twitter. Both are also on LinkedIn: David and Brooks.

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About the Author

Diana Thomas

As a proven successful executive, Diana brings decades of experience, expertise and education to her coaching with business executives, teams and learning/talent leaders to increase their impact, inspire committed followership and engagement, and build strong diverse teams that pull together to achieve Winning Results. In addition to coaching, Diana is a partner and trainer with Clean Language for Coaches Resource Center. She is the co-author of the 2018 strategic leadership book, Be More Strategic in Business: How to win through Stronger Leadership and Smarter Decisions. Diana began her career as a McDonald’s restaurant crew member in 1979, and rose to become Vice President of Training, Learning & Development for McDonald’s USA. In this role, she led all aspects of training and development including the restaurant training curriculum at Hamburger University, McDonald’s global training center of excellence.

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