We'll show you exactly how AI is impacting your speed and code quality.




Each team runs its own dashboards, metrics, and interpretation of what's going well. Cross-team release health gets built manually, and only after a release misses.
The sprint where review time spiked and slowed the whole release was visible in the data for three weeks. Nobody looked. The next sprint repeated the pattern.
Some teams adopted Copilot immediately. Others barely use it. Whether the adopters outperform the laggards, and by how much, is a question most VPs can't answer.




Yes. The org health score, pipeline view, and PR quality views all support cross-team visibility in a single screen. Filter to specific sub-teams or view all at once. No separate dashboards per team required.
The score is a weighted composite of Speed, Quality, and Throughput across your org. You configure the relative weight of each category to match your current priorities, so a team optimizing for quality isn't penalized by a speed-heavy default. Team rankings reflect your weighting.
Engineering activity data (commits, PRs, pipeline timings) updates in near real time as events are processed from your source control integrations. Most views reflect activity within hours of it occurring.


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See exactly how AI-assisted code is impacting your delivery speed and code quality, before you commit to anything.
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