ExitInterview: AI Departure Intelligence
Automatically analyzes exit interview transcripts and employee feedback to surface retention risks and hidden churn patterns before employees leave.
The Problem
HR teams conduct exit interviews but rarely extract actionable signals from them — insights get buried in spreadsheets or Notion docs. Departments lose top performers without warning because exit interview data isn't connected to current employee sentiment, engagement scores, or manager metrics. By the time leadership sees a pattern, the employee is already gone.
Target Audience
Mid-market companies (100-500 employees) with dedicated HR teams who use HRIS systems like Workday or BambooHR and want to reduce unexpected turnover and identify systemic retention issues.
Why Now?
Remote work has made exit interviews asynchronous (Zoom recordings, written responses); AI can now process these at scale cheaply. HR budgets are tightening, so tools that prevent turnover are higher ROI than recruiting.
What's Missing
Existing exit interview tools focus on compliance/documentation, not predictive intelligence. They don't surface patterns across multiple departures or flag risky departments before mass exodus happens.
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