Committed completion
55.6%
Improved by 16.2 pts vs prior checkpoint
One-screen view of predictability, throughput, misses, and quality signals
University trend points are generated from persisted sprint issue facts and centralized formulas. The dashboard is designed to show miss patterns and execution quality, not just output volume. This view also includes 3 simulated weekly checkpoints so you can preview a one-month chart layout before the historical sprint archive is fully backfilled.
University now has 1 source-backed checkpoint(s) in the persisted trend store.
These cards bias toward leadership questions: can we trust the promise set, what diluted it, and what actually came out of the sprint system.
Demo mode is on for this view: 3 prior weekly checkpoints are simulated for presentation only and are not written to the canonical trend dataset.
The first row focuses on predictability and scope pressure. The second row shows throughput shape, miss composition, and workflow truth.
This compact matrix keeps the underlying numbers visible so the chart shapes stay auditable.
| Metric | W08 | W09 | W10 | W11-12 |
|---|---|---|---|---|
| Committed completion | 52.0% | 49.2% | 39.4% | 55.6% |
| Finish predictability | 65.1% | 60.0% | 51.2% | 71.4% |
| Planning quality | 92.9% | 85.3% | 76.9% | 100.0% |
| Committed carryover | 49.4% | 51.1% | 57.1% | 44.4% |
| Added load | 36.7% | 37.6% | 41.8% | 31.6% |
| Bug share | 43.6% | 47.8% | 52.7% | 40.0% |
| Metric | W08 | W09 | W10 | W11-12 |
|---|---|---|---|---|
| Stories | 5.2 | 3.7 | 2.8 | 5 |
| Tasks | 4.5 | 3.4 | 2.8 | 4 |
| Bugs | 5.7 | 7.3 | 9.2 | 6 |
| Partial | 1.9 | 2.8 | 3.3 | 2 |
| Dependency | 1.8 | 1.4 | 2.2 | 1 |
| Not started | 0.5 | 0.2 | 2.1 | 1 |
| Workflow mismatch | 1.7 | 2.6 | 2.7 | 2 |
| Not-started committed | 1 | 0.8 | 0.7 | 1 |
| Product stories | 5.6 | 4.6 | 4 | 5 |