Trend View

Sprint Trends — Team Team 1

One-screen view of predictability, throughput, misses, and quality signals

Team 1 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.

Overview

Team 1 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.

Committed completion
63.2%
Improved by 14.9 pts vs prior checkpoint
Planning quality
52.6%
Improved by 14.0 pts vs prior checkpoint
Added load
48.4%
Improved by 16.5 pts vs prior checkpoint
Workflow mismatch
4
Improved by 2 vs prior checkpoint
Bug share
37.5%
Improved by 14.5 pts vs prior checkpoint
Product stories
2
0 down vs prior checkpoint
Preview mode: 3 earlier checkpoints are simulated so we can inspect a one-month trend layout before backfill is complete.

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.

Trend explorer

Choose a consecutive week window to inspect how the delivery system changed over time for this scope.

Select a consecutive window to reslice the same persisted trend facts.
Delivery predictability
Committed completion, finish predictability, and planning quality should move together if the sprint system is healthy.
Committed completionFinish predictabilityPlanning quality
0%25%50%75%100%W15W16W17W18
Percentage scale, higher is better.
Scope pressure
Carryover, added load, and bug share show how much execution was displaced by noise or late scope motion.
Committed carryoverAdded loadBug share
0%25%50%75%100%W15W16W17W18
Percentage scale, lower is better.
Delivered mix
Stories, tasks, and bugs should stay legible enough that leaders can see where capacity actually landed.
StoriesTasksBugs
0134618202021W15W16W17W18
Stacked counts by checkpoint.
Miss pattern
Partial completion, dependency delay, and not-started misses help distinguish breakdown, coordination, and focus failure.
PartialDependencyNot started
012345765W15W16W17W18
Stacked miss counts by checkpoint.
Execution truth
Workflow mismatches, not-started committed items, and delivered product stories show whether the sprint closed cleanly and usefully.
Workflow mismatchNot-started committedProduct stories
01234W15W16W17W18
Grouped counts by checkpoint.

Predictability

MetricW15W16W17W18
Committed completion56.3%56.9%48.3%63.2%
Finish predictability63.0%56.2%48.5%66.7%
Planning quality49.3%47.7%38.6%52.6%
Committed carryover38.6%41.7%46.4%36.8%
Added load55.1%59.8%64.9%48.4%
Bug share39.6%43.1%52.0%37.5%

Delivery and misses

MetricW15W16W17W18
Stories0.81.91.32
Tasks8.77.75.910
Bugs8.910.513.19
Partial00.400
Dependency0000
Not started56.26.45
Workflow mismatch3.64.36.24
Not-started committed5.95.685
Product stories12.22.12