Sprint Trends — Team University

Overview

University now has 12 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

22.7%

12.3 pts down vs prior checkpoint

Planning quality

18.2%

Improved by 8.2 pts vs prior checkpoint

Added load

75.0%

Worse by 11.0 pts vs prior checkpoint

Workflow mismatch

Improved by 3 vs prior checkpoint

Bug share

50.0%

Worse by 5.6 pts vs prior checkpoint

Product stories

1 down 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.

Start week End week

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

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

Percentage scale, lower is better.

Delivered mix

Stories, tasks, and bugs should stay legible enough that leaders can see where capacity actually landed.

StoriesTasksBugs

Stacked counts by checkpoint.

Miss pattern

Partial completion, dependency delay, and not-started misses help distinguish breakdown, coordination, and focus failure.

PartialDependencyNot started

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

Grouped counts by checkpoint.

Predictability

Metric	W11-12	W14	W18	W19	W20	W21	W22	W23	W24	W25	W26	W27
Committed completion	55.6%	63.6%	53.8%	50.0%	57.1%	61.5%	50.0%	50.0%	28.6%	43.8%	35.0%	22.7%
Finish predictability	71.4%	63.6%	54.5%	50.0%	66.7%	80.0%	62.5%	60.0%	33.3%	46.2%	42.9%	25.0%
Planning quality	100.0%	0.0%	38.5%	27.8%	42.9%	53.8%	50.0%	21.4%	21.4%	12.5%	10.0%	18.2%
Committed carryover	44.4%	36.4%	46.2%	50.0%	42.9%	38.5%	50.0%	50.0%	71.4%	56.2%	65.0%	77.3%
Added load	31.6%	8.3%	18.8%	43.5%	60.0%	18.8%	25.0%	22.2%	26.3%	61.9%	64.0%	75.0%
Bug share	40.0%	57.1%	70.0%	45.5%	55.6%	54.5%	28.6%	70.0%	66.7%	72.7%	44.4%	50.0%

Delivery and misses

Metric	W11-12	W14	W18	W19	W20	W21	W22	W23	W24	W25	W26	W27
Stories	5	0	1	4	2	0	2	2	2	1	1	0
Tasks	4	3	2	2	2	5	3	1	1	2	4	3
Bugs	6	4	7	5	5	6	2	7	6	8	4	3
Partial	2	2	1	1	1	3	3	3	5	4	4	4
Dependency	1	1	1	0	1	1	0	0	0	1	3	4
Not started	1	0	0	2	1	0	2	0	3	1	1	5
Workflow mismatch	2	0	2	2	1	0	2	1	0	3	3	0
Not-started committed	1	0	0	2	1	0	2	0	3	1	1	5
Product stories	5	0	1	4	2	0	2	2	2	1	1	0