beachhead · evidence-based answer
How do companies predict employee turnover?
The short answer
Most turnover models train on administrative HR data full of confounds and stale proxies. Validated instruments that measure quit intention and the push/pull factors behind it typically predict actual turnover better — and, unlike a black box, they tell you what to change.
The problem underneath
Attrition prediction models built on administrative HR data frequently capture confounds; validated instruments measuring quit intention and push/pull factors outperform black-box models trained on stale behavioral proxies.
The evidence
- Eight research arcs spanning behavioral science → analytics craft
- The AI × people-analytics capability encyclopedia
- 40+ citation-grade insight cards
- The translated corpus
Every claim on this site traces to a graded source — see the proof graph.
Go deeper
Related questions
- What does the research say about predicting who will quit?
- Best methods for measuring and predicting employee attrition
turnover predictionattrition analyticsquit intentionretention measurementpeople analytics