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AI USE CASE
Employee sentiment & attrition prediction
Spot disengagement and flight risk early enough to act.
What it is
An ML model combines anonymised pulse-survey results, calendar patterns and tenure to predict attrition risk by team. HRBPs get a heatmap of where to invest manager time. Properly designed, it surfaces risk 3–6 months earlier than exit interviews.
Data you need
Anonymised survey results, HRIS data, 24+ months of attrition history.
Required systems
- data warehouse
Why it works
- Aggregate at team level, not individual
- Co-design with works council / employee reps
How this goes wrong
- Surveillance perception kills trust
- Predictions used to label rather than help
When NOT to do this
Don't predict at the individual level, legal risk and trust collapse.
Example vendors
This page describes an idea. It gives no budget or timeline: those depend on your company. The free diagnostic tells you which ideas fit your situation.