ExitInterviewInsights: Departure Pattern Analyzer
AI-powered tool that analyzes exit interview transcripts to identify department-level retention risks and departure trends before they become turnover crises.
The Problem
HR teams conduct exit interviews but rarely systematically analyze them for patterns. Most companies have exit interview data scattered across documents, emails, and forms with no way to spot whether a specific manager, team, or compensation band is bleeding talent. This leads to reactive hiring instead of proactive retention.
Target Audience
Mid-market companies (100-2000 employees) with HR teams managing 50+ annual departures, especially in tech, finance, and healthcare where turnover is expensive and competitive.
Why Now?
Exit interview transcripts are now being auto-recorded/transcribed by tools like Otter. The data exists—it's just sitting unanalyzed. AI can now extract structured insights from messy qualitative data in seconds.
What's Missing
Existing HRIS platforms treat exit interviews as compliance checkboxes, not data sources. No tool connects departure reasons to manager, team, or compensation band patterns in a way that's actionable for retention strategy.
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