SlackMetricsLeakDetector
Analyzes Slack message patterns to detect when employees are quietly job-hunting or disengaging based on linguistic shifts and response time anomalies.
The Problem
Managers lose top talent without warning because they have no visibility into early warning signs of employee disengagement or job-searching. Exit interviews come too late. Traditional surveys are obvious and gamed.
Target Audience
Engineering managers and team leads at tech companies (50-500 person teams) who want to proactively retain high performers before they leave.
Why Now?
Remote work makes it harder to notice disengagement naturally; AI text analysis is now cheap and accessible; talent retention is critical with high hiring costs.
What's Missing
Existing people analytics tools rely on surveys and self-reporting, which miss subtle signals. Slack is where daily behavior happens, but it's an untapped data source for retention signals.
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