Key metrics dashboard
Your dashboard shows real-time and historical data across four core dimensions:| Metric | What it measures |
|---|---|
| PRs merged / engineer | Individual and team throughput over time |
| Median review time | End-to-end time from PR open to merge |
| Lines modified / PR | Change size distribution across your team |
| Active reviewers | Reviewer participation and workload spread |
Why these metrics matter
Beyond vanity
Visualize and track data-driven metrics that are proven to enhance developer productivity — not commit counts or lines of code.
Transparency
Autter empowers every member of your team with data, regardless of their role. Engineers, leads, and managers see the same picture.
A historical record
Measure developer trends over time, so you can identify and fix bottlenecks in your engineering workflow before they become chronic.
Real-world impact
Teams that adopt Autter consistently report the same patterns across metrics, regardless of team size or codebase complexity:| Metric | Before Autter | After Autter | Change |
|---|---|---|---|
| Production incidents from AI code | ~4.2 / month | ~1.1 / month | -73% |
| Average review cycle time | 2.4 days | 1.1 days | -54% |
| PRs merged per developer / week | 3.8 | 8.7 | +2.3x |
| Time spent on convention enforcement | ~6 hrs / week | ~0.5 hrs / week | -92% |
These numbers vary by team size and codebase complexity. Connect your repository and Autter will show you your own baseline from day one.
Metrics that move the needle
Cycle time tracking
Measure end-to-end from first commit to merge. Identify where time is being spent and optimize your workflow.
Review quality scores
Track the depth and quality of code reviews across your team with actionable metrics.
Team velocity
Monitor PRs merged, lines changed, and review turnaround — broken down by team and individual.
Reviewer insights
See who’s reviewing what, response times, and workload distribution across your team.
Real-time dashboards
Live dashboards that update in real time so you always know the current state of your engineering org.
Trend analysis
Spot patterns over weeks and months. Compare sprints, identify regressions, and celebrate improvements.