Workload Trends
Visualize how work is distributed across your team and over time. Spot overload, idle capacity, and bottlenecks before they become resignations or missed sprints.
Maya
Backend
Jordan
Backend
Priya
Frontend
Sam
Frontend
Alex
Platform
Priya at sustained overload (4 weeks)
95% workload, 8 active tickets, 6 PRs awaiting her review. Sam at 28% has capacity to absorb 2 frontend tickets.
Per-member workload heatmap
Burnout signals before they hit
Sprint-over-sprint trend tracking
Slack alerts when someone is at risk
What we measure
Workload is more than open tickets
iftrue blends active assignments, in-flight PRs, review load, on-call rotations, and meeting density into a single workload score per engineer. Then tracks it sprint over sprint so you see drift, not just snapshots.
- Active work
- Open tickets weighted by complexity, in-flight PRs, and ongoing investigations.
- Review load
- PRs assigned for review, including the senior engineers everyone defaults to.
- Hidden load
- On-call rotations, meeting density, and after-hours activity that never shows in a sprint board.
Workload composition · Priya
Total load
95%
Sustained for
4 weeks
Burnout signals
Leading indicators, not exit interviews
Burnout has leading indicators if you know where to look. iftrue watches them automatically and pings you in Slack the moment any threshold is crossed.
Sustained overload
Workload above 85% for 3+ consecutive weeks. The strongest single predictor of burnout.
After-hours creep
Commits and reviews happening regularly outside working hours. Occasional is fine. Chronic is a signal.
Review monopoly
One engineer reviewing more than 40% of team PRs. Bus factor risk and reviewer fatigue at once.
Meeting saturation
Meeting time exceeds 30% of working hours. Engineering output drops sharply past that line.
Workload imbalance suggestion
Priya is at 95% load (4th straight week). Sam is at 28% with frontend capacity.
Suggested moves: PROJ-512 and PROJ-518 from Priya to Sam. Both are frontend tickets, both unassigned PRs.
Rebalance with data
Specific moves, not vague nudges
Generic "your team looks busy" alerts don't help. iftrue suggests concrete reassignments: which tickets to move, who to move them to, and why both engineers benefit. Approve the move and reassign in Jira without leaving Slack.
Who it's for
Built for engineering leaders
Engineering Managers
See workload balance across your team at a glance. Spot the engineer carrying twice the load before they burn out.
Tech Leads
Rebalance ticket assignments based on real workload data, not gut feel. Stop overloading your most senior people.
VPs of Engineering
Compare workload distribution across teams. Identify systemic capacity issues before they show up in attrition numbers.
Ready to transform your engineering organization?
Start your journey to data-driven engineering management. Book a demo to see how iftrue can help your team.