Process Analysis
Cycle time & handoff efficiency
Stage Averages
Issue Cycle Time Breakdown
| Issue | Title | To Do | In Progress | In Review | QA | Total |
|---|---|---|---|---|---|---|
| PLAT-142 | Fix OAuth token refresh | 8h | 24h | 12h | 4h | 48h |
| PLAT-158 | Add rate limit headers | 16h | 8h | 32h | 6h | 62h |
| MOB-091 | Push notification rework | 4h | 40h | 8h | 16h | 68h |
| DATA-203 | Migrate user table indexes | 24h | 16h | 4h | 2h | 46h |
| FE-077 | Dashboard chart refactor | 48h | 12h | 6h | 3h | 69h |
The Life Cycle Explorer analyzes operational processes and trends at the issue level. Unlike sprint-level metrics, it shows how individual issues move through stages — revealing where work gets stuck, where handoffs create idle time, and which stages consistently slow delivery. Use this view to identify recurring bottleneck patterns and drive process improvements.
Pull the stage averages at sprint close. If In Review consistently takes longer than In Progress, your team has a review bottleneck — discuss whether it's capacity, complexity, or process.
Use the issue-level data to identify outliers from the previous sprint. Issues that spent disproportionate time in To Do may indicate backlog grooming gaps.
Surface any issue currently in a stage for longer than the team average. Early detection prevents carry-over.