Workload View: Spotting Burnout Before It Ships Bugs
By the time burnout shows up in 1:1s, it's already shipped two bad releases. Workload view surfaces the imbalance early — before your best engineer becomes your former engineer.
Every engineering manager knows the pattern: your strongest engineer keeps saying yes. Their workload climbs. Their PRs get sloppier. Their Slack messages get terser. By the time HR is involved, you've shipped two regressions and the engineer is interviewing elsewhere.
Workload view exists to make this visible before it becomes a crisis.
What the view shows
One screen, every active team member, ranked by current open task load:
- Total open task count
- High-priority count (red bar above 3)
- Status distribution: To Do / In Progress / Review
- Total credits assigned (proxy for committed effort)
- Color: green (healthy), yellow (at capacity), red (over)
Filterable by project. Updates in real-time as tasks get assigned or closed.
The yellow zone is where you intervene
Most managers wait until red before acting. By then it's late. Yellow means: "this person has more than 5 active tasks, including 2 high-priority." Cost of intervention now: a 15-minute reshuffle. Cost in two weeks: a missed deadline and a sad 1:1.
What workload view doesn't track
Calendar load. Meeting density isn't yet pulled in (roadmap). For now, eyeball it: if someone has 7 in-progress tasks and 6 hours of meetings tomorrow, the math doesn't work.
Use it for capacity planning
Before sprint planning, open workload view filtered to the previous sprint's residual tasks. Anyone with 3+ rollovers is probably starting the new sprint already over-committed. Pair with retro insights for context on why their previous sprint slipped.
The leadership use
If everyone on the team is yellow or red, the problem isn't individual workload — it's hiring (or scope). Workload view rolls up across projects so you can show your CEO the real number, not the gut feel.
Combined with…
Workload view + the credits leaderboard + AI standup blocker detection form a three-part early-warning system. Most teams discover an imbalance within their first week of using all three.