ExitIntent: Resignation Risk Early Warning
Flags employees likely to quit in the next 60-90 days based on behavioral signals (Slack activity, meeting patterns, skill-building) so managers can intervene before losing key talent.
The Problem
Managers lose top employees without warning, scrambling to find replacements and losing institutional knowledge. Exit interviews reveal warning signs that existed months before—declining Slack engagement, skipping 1-on-1s, taking training courses in adjacent fields—but nobody's watching systematically. By the time HR notices the resignation letter, it's too late.
Target Audience
People ops managers and department heads at growth-stage startups (50-500 employees) who feel blindsided by resignations and want predictive intelligence.
Why Now?
Quiet quitting and resignation rates are at historical highs post-2022; managers are desperate for early warning systems. AI tools make building prediction models feasible for solo developers in weeks.
What's Missing
Existing HR tools are bloated and slow to implement. Managers need a lightweight, fast-deployed tool that watches real-time signals (Slack, calendar) rather than annual surveys.
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