Trend View

Sprint Trends — Team Mobile

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

Mobile trend points come from persisted source-pair metrics and the published pulse archive. The dashboard is designed to show miss patterns and execution quality, not just output volume.

Overview

Mobile now has 11 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
72.7%
Improved by 57.3 pts vs prior checkpoint
Planning quality
54.5%
Improved by 23.7 pts vs prior checkpoint
Added load
84.6%
Worse by 11.3 pts vs prior checkpoint
Workflow mismatch
0
Improved by 3 vs prior checkpoint
Bug share
12.5%
Worse by 12.5 pts vs prior checkpoint
Product stories
5
Improved by 3 vs prior checkpoint

Historical checkpoints were reconstructed from their published pulse metric tables; frozen source-pair rows remain authoritative whenever both are available.

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%W17W18W19W20W21W22W23W24W25W26W27
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%W17W18W19W20W21W22W23W24W25W26W27
Percentage scale, lower is better.
Delivered mix
Stories, tasks, and bugs should stay legible enough that leaders can see where capacity actually landed.
StoriesTasksBugs
0123432100341527W17W18W19W20W21W22W23W24W25W26W27
Stacked counts by checkpoint.
Miss pattern
Partial completion, dependency delay, and not-started misses help distinguish breakdown, coordination, and focus failure.
PartialDependencyNot started
0123401133101323W17W18W19W20W21W22W23W24W25W26W27
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
01234W17W18W19W20W21W22W23W24W25W26W27
Grouped counts by checkpoint.

Predictability

MetricW17W18W19W20W21W22W23W24W25W26W27
Committed completion50.0%66.7%50.0%0.0%0.0%20.0%37.5%6.7%35.7%15.4%72.7%
Finish predictability60.0%100.0%100.0%0.0%0.0%0.0%37.5%8.3%36.4%18.2%77.8%
Planning quality50.0%66.7%100.0%20.0%66.7%60.0%62.5%40.0%28.6%30.8%54.5%
Committed carryover50.0%33.3%50.0%100.0%100.0%80.0%62.5%93.3%64.3%84.6%27.3%
Added load0.0%50.0%80.0%42.9%42.9%37.5%46.7%82.4%62.5%73.3%84.6%
Bug share0.0%0.0%50.0%0.0%0.0%33.3%20.0%0.0%20.0%0.0%12.5%

Delivery and misses

MetricW17W18W19W20W21W22W23W24W25W26W27
Stories21000221225
Tasks11000010201
Bugs00100110101
Partial01123001110
Dependency00000000000
Not started00010100213
Workflow mismatch00000031030
Not-started committed00010100213
Product stories21000221225