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Build a Scalable Job Fit Engine: From Gut Feel to Predictive Hiring
In this episode of The Science of Leading, Claire Monroe and Edwin Carrington break down how to turn job fit from a fuzzy, gut-driven concept into a scalable, data-backed hiring engine. They explore why job fit—defined as the match between a person and the real demands of the role, the work environment, and the team context—is the hidden driver behind quality of hire, time-to-productivity, and long-term retention. Drawing on research and front-line experience, they unpack how structured methods like performance-based job descriptions, cognitive ability tests, skills assessments, and validated…
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