Burnout & workload
See who is struggling before they say so.
Early warning for overload, clustered deadlines and inactivity.
The problem
Burnout arrives quietly.
The most loaded person is often the one who complains least. By the time it's noticed, the resignation, sick leave or quality drop has already happened.
AI in this module
Looks at the combination, not a single signal.
- 8 or more active tasks
- 3 or more deadlines in the next 3 days
- A weekly performance drop of more than 15 points — when two coincide, the team lead and department manager are alerted
What you can do
Weekly burnout analysis
Every Monday morning for members and PMs.
Inactivity detection
Members with no active task, PMs with no project, team leads whose teams have no active work.
Stale work
In-progress tasks with no update for 48 working hours; priority rises at 72h.
Fair calculation
Working days and hours are respected; people on leave and those who joined in the last 7 days are excluded.
Workload report
Active tasks and estimated hours per person; 8+ tasks or 60+ hours counts as high.
No repeated noise
The same alert isn't re-sent within a short window.
Who uses it and how
Team Lead
Receives risk alerts for the team and rebalances work.
Department Manager
Watches burnout and inactivity signals across the department.
CTO
Sees burnout-risk people on the Radar.
Frequently asked
Is this an employee surveillance tool?
No. The analysis is based on task, deadline and performance data; the goal is for managers to rebalance workload in time.
Who receives the alerts?
Burnout warnings go to the team lead and department manager; inactivity alerts go to the team lead, department manager and CTO.
See it with your own data.
Open a free workspace, or let's schedule a demo with your team.