Your team matters
StrainSignal monitors work rhythm in Slack — without storing or interpreting message text — and flags sustained changes in recovery, workload, and engagement by comparing each person only to their own baseline.
Takes ~2 minutes to connect.

Strain
Detected
Longest break
6h → 3h
After-hours
↑ 47%
Reply rate
↓ 30%
Built for trust from day one
We analyze behavioral metadata — timing, volume, recovery windows. We never store or interpret message text.
Everyone is compared only to their own baseline — no rankings, no leaderboards, no cross-person benchmarks.
Per-user and per-channel monitoring controls, plus on-call and holiday suppression to prevent noisy alerts.
Any team member can opt out of monitoring at any time — no questions asked, no manager approval needed.
StrainSignal learns each person’s normal rhythm, then flags meaningful drift in recovery, workload, and engagement — without comparing people to each other.
Get notified only when patterns persist, not on one-off spikes. Alerts include what changed, why it matters, and the context needed to act.
Every alert comes with an explainable snapshot: the signals that moved, baseline context, and a simple breakdown of recovery vs workload vs withdrawal vs volatility — so managers know what to do next.
This week, 3 members show elevated recovery risk and late-day creep compared to their personal baselines.
behavioral signals
adaptive baseline
to get started

It’s the first alert that feels fair — because it compares me to me.
Hear what managers have to say
Design Partner (Engineering Manager)
Slack-native product team
Perfect for pilots and small teams.
For teams who want daily visibility.
Custom solutions for large orgs.
Join the early access program for teams that want privacy-first strain detection inside Slack — built around behavioral metadata, not message text or sentiment analysis.
Design Partner
VP Engineering