ExitInterviewVault: Employee Departure Intelligence
AI-powered platform that automatically synthesizes exit interview data to surface hidden retention risks and department-level churn patterns for mid-market companies.
The Problem
HR teams conduct exit interviews but rarely analyze them systematically—insights stay scattered in notes or spreadsheets. Companies miss critical patterns about toxic managers, compensation gaps, or team dysfunction until turnover spikes. There's no single source of truth connecting departures to actionable retention levers.
Target Audience
HR managers and People Ops leaders at 50-500 person companies who conduct regular exit interviews but lack analytics infrastructure to act on the signals.
Why Now?
Exit interviews are increasingly common post-pandemic as retention crises force HR to get serious. Companies have years of untapped exit interview data they want to understand, and AI can finally make that analysis automatic and pattern-spotting reliable.
What's Missing
Existing exit interview tools focus on *collecting* data (forms, scheduling) but don't analyze it. HR doesn't have time to manually read 50 exit interviews—AI synthesis is the missing piece that makes the data actionable.
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