ExitInterview: Automated Offboarding Insight Engine
AI-powered exit interview analyzer that turns raw departing employee feedback into anonymized trends and retention insights for HR teams.
The Problem
HR teams conduct exit interviews but rarely systematize the data—insights get lost in scattered notes, emails, and spreadsheets. They can't quickly spot patterns (e.g., 'manager conflict in engineering' or 'compensation gap in sales') that directly predict future turnover without manually re-reading dozens of interviews.
Target Audience
Mid-market companies (50-500 employees) with high turnover concerns, HR managers at tech/SaaS firms, and people ops leaders who need data-driven retention strategies.
Why Now?
Exit interview data is suddenly *capturable* at scale via video/voice APIs, and LLMs make semantic clustering trivial; HR teams are also desperate for turnover ROI after mass layoffs exposed blind spots.
What's Missing
Existing HR platforms treat exit interviews as compliance checkboxes, not intelligence assets. No tool connects 'why people leave' to 'which teams/roles are bleeding talent' in real-time.
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