The Problem
Release decisions depended on knowing exactly what was broken and how severe it was, but that information was spread across multiple tools and teams, each tracking defects in its own system. Answering "are we ready to ship?" meant chasing team leads down in the days before a release, reconciling severity ratings that didn't always mean the same thing from one team to the next. A report already stale by the time it reached the room meant release calls sometimes ran on information that had already moved, a guess dressed up as a decision.
What Was Built
A live dashboard tracking every open defect by severity, status, area, and trend, pulling directly from each team's existing tracking tool rather than double-entering data. Because it showed trend over time, not just a snapshot, leadership could see whether the overall defect position was improving or worsening heading into a release date. It became the single view the whole programme used to decide whether to release.
The Result
Go/no-go decisions ran directly off the live dashboard, on data current at the exact moment someone needed to act on it. Engineering leads spent less time producing status updates and more time closing the defects those updates described. Because trend was visible, leadership could see a release heading for trouble days in advance, rather than discovering it live in the meeting.
Why It Matters Here
The moment more than one team tracks its own version of "how are we doing," whoever acts on that information ends up deciding on data that's already gone stale. Whether it's defect severity on a vehicle programme or AI tool sign-off across a club's departments, the discipline doesn't change: centralise the data and you centralise the decision itself, the same principle behind Solus Command's Governance Register, one current record, one named owner.