ExitInterviewInsights: Departure Pattern Analyzer
Automatically analyzes exit interview transcripts and survey responses to surface resignation trends, flight risks, and retention patterns for HR teams.
The Problem
HR teams conduct exit interviews but rarely aggregate the data to identify systemic issues. Managers leave, entire teams resign within months, or specific departments have 3x turnover—but nobody connects these patterns because exit data lives in scattered documents, Zoom recordings, or Google Forms. By the time insights emerge, it's too late.
Target Audience
HR leaders and People Ops managers at mid-market companies (50-500 employees) who want to reduce preventable turnover and identify department-level retention crises before they escalate.
Why Now?
AI transcription (Whisper) and summarization (Claude/GPT) have made bulk processing of unstructured interview data trivial; HR leaders are increasingly paranoid about quiet quitting and manager-induced churn post-2023 layoffs.
What's Missing
Existing HR tools treat exit interviews as compliance checkboxes, not strategic data sources. There's no 'exit intelligence layer' that watches for red flags like repeated complaints about specific managers, compensation misalignment, or team dysfunction.
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