Trend View

Sprint Trends — Org Adservio

Aggregated trend view derived from the persisted sprint fact base

Adservio 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 2 simulated weekly checkpoints so you can preview a one-month chart layout before the historical sprint archive is fully backfilled.

Overview

Adservio now has 2 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
63.6%
Improved by 8.0 pts vs prior checkpoint
Planning quality
0.0%
100.0 pts down vs prior checkpoint
Added load
8.3%
Improved by 23.3 pts vs prior checkpoint
Workflow mismatch
0
Improved by 2 vs prior checkpoint
Bug share
57.1%
Worse by 17.1 pts vs prior checkpoint
Product stories
0
5 down vs prior checkpoint
Preview mode: 2 earlier checkpoints are simulated so we can inspect a one-month trend layout before backfill is complete.

Demo mode is on for this view: 2 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%W09W10W11-12W14
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%W09W10W11-12W14
Percentage scale, lower is better.
Delivered mix
Stories, tasks, and bugs should stay legible enough that leaders can see where capacity actually landed.
StoriesTasksBugs
012341615157W09W10W11-12W14
Stacked counts by checkpoint.
Miss pattern
Partial completion, dependency delay, and not-started misses help distinguish breakdown, coordination, and focus failure.
PartialDependencyNot started
012346543W09W10W11-12W14
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
01234W09W10W11-12W14
Grouped counts by checkpoint.

Predictability

MetricW09W10W11-12W14
Committed completion45.3%41.0%55.6%63.6%
Finish predictability61.8%50.2%71.4%63.6%
Planning quality87.8%72.1%100.0%0.0%
Committed carryover53.6%61.4%44.4%36.4%
Added load37.8%40.1%31.6%8.3%
Bug share48.0%55.0%40.0%57.1%

Delivery and misses

MetricW09W10W11-12W14
Stories4.74.150
Tasks4.12.243
Bugs7.18.964
Partial2.63.722
Dependency1.30.811
Not started2.10.810
Workflow mismatch23.220
Not-started committed0.71.910
Product stories3.22.550