Team Performance
How much engineering output each person produces, how code review is holding up, and what the AI coding tools cost.
- Output per Engineer How do we measure whether AI coding tools are actually increasing the engineering output our team produces, rather than just increasing the number of commits or PRs?
- Output by Category What proportion of our engineering team's AI-assisted output is going toward new features versus maintenance work, and is AI investment changing that mix over time?
- AI Output Share / AI PR Share Is AI coding producing a proportionate share of our engineering team's most complex and valuable work, or is it handling the simpler tasks while humans carry the heavier PRs?
- Prompt Quality How good are our engineers at prompting AI coding tools, and how much productivity are we leaving on the table because of gaps in prompting skill rather than gaps in tool capability?
- Cost per Output Is our AI coding tool investment making our engineering team more cost-efficient over time, or are costs rising as fast as, or faster than, the productivity gains?
- Code Review How do Review Turnaround and Substantive Comment Rate behave together in the Team Performance tab as AI coding adoption grows?
- Performance Overview Chart How do Output and AI Code Share trend together in the Performance Overview chart, and what does their relationship show?
- Total Cost What does the Team Performance Total Cost card show for tool-level spend breakdown alongside output and quality metrics?