Restemb
Predict employee burnout weeks before it shows up
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Pranav Pradeesh

Restemb - Predict employee burnout weeks before it shows up

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Restemb sends your team a short daily check-in (30 seconds) and surfaces patterns that point to burnout — weeks before anyone notices. Individual answers stay always private. Unlike weekly surveys or calendar metadata tools, daily data density lets Restemb model each person's risk trajectory and predict a burnout event 4–6 weeks in advance. Managers see team-level signals only. Individual data is never exposed — enforced at the data layer, not just the UI.

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Pranav Pradeesh
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Hey Product Hunt! We built Restemb because burnout is sneaky — by the time a manager notices, it's often too late. We spent months researching why existing tools fail: weekly surveys don't have enough data density to spot a trend, and calendar metadata misses the human side entirely. Daily check-ins (30 seconds, 3 questions) give us the signal depth to build a real predictive model — 4–6 weeks of early warning. The privacy piece was non-negotiable. Individual answers are never visible to managers — not just a UI toggle, but enforced at the data layer. We believe people only answer honestly when they truly trust the system. We're in early access now. Would love your feedback — especially from managers and HR folks who've tried other tools!