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

Overview

Adservio 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
55.6%
Improved by 14.6 pts vs prior checkpoint
Planning quality
100.0%
Improved by 27.9 pts vs prior checkpoint
Added load
31.6%
Improved by 8.5 pts vs prior checkpoint
Workflow mismatch
2
Improved by 1 vs prior checkpoint
Bug share
40.0%
Improved by 15.0 pts vs prior checkpoint
Product stories
5
Improved by 2 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.

Charts

The first row focuses on predictability and scope pressure. The second row shows throughput shape, miss composition, and workflow truth.

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%W08W09W10W11-12
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%W08W09W10W11-12
Percentage scale, lower is better.
Delivered mix
Stories, tasks, and bugs should stay legible enough that leaders can see where capacity actually landed.
StoriesTasksBugs
0123414161515W08W09W10W11-12
Stacked counts by checkpoint.
Miss pattern
Partial completion, dependency delay, and not-started misses help distinguish breakdown, coordination, and focus failure.
PartialDependencyNot started
012345654W08W09W10W11-12
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
01234W08W09W10W11-12
Grouped counts by checkpoint.

Metric matrix

This compact matrix keeps the underlying numbers visible so the chart shapes stay auditable.

Predictability

MetricW08W09W10W11-12
Committed completion52.9%45.3%41.0%55.6%
Finish predictability67.8%61.8%50.2%71.4%
Planning quality93.8%87.8%72.1%100.0%
Committed carryover47.3%53.6%61.4%44.4%
Added load32.6%37.8%40.1%31.6%
Bug share44.1%48.0%55.0%40.0%

Delivery and misses

MetricW08W09W10W11-12
Stories4.14.74.15
Tasks3.94.12.24
Bugs67.18.96
Partial2.22.63.72
Dependency1.71.30.81
Not started1.42.10.81
Workflow mismatch2.923.22
Not-started committed1.80.71.91
Product stories4.83.22.55