If you want to compare team delivery speed in GitHub, start with PR metadata that every team already generates: opened time, review time, merge time, and the path a pull request took through review. With scoped team KPIs, you can see where one team is moving faster, where another is getting stuck, and whether the difference is consistent or just a noisy week.
DeliveryCompass provides engineering intelligence for GitHub PR delivery through a read-only GitHub App with daily sync, team and repo mapping for scoped KPIs, overview dashboards, trend charts, drill-downs, and weekly summaries that help you bring the right facts into staff meetings. For setup details and scope notes, see /docs/teams-and-repos and the pilot limitations.
What to compare when you want team delivery speed
Comparing teams works best when you use the same metric definition for each team and avoid mixing in unrelated signals. In GitHub PR data, the most useful starting points are:
- PR lead time: from opened to merged
- Review responsiveness: time to first review and time between review rounds
- Time in open state: how long PRs wait before merge
- Merge throughput: how many PRs each team closes over time
- Age distribution: whether a team has a long tail of stale PRs
Those metrics give you a practical view of delivery speed without relying on deployment-only numbers. If you want a deeper breakdown of which delivery metric to use for a specific decision, see /docs/choosing-delivery-metrics and /docs/metrics.
Use scoped team data, not whole-org averages
Whole-org averages can hide the real story. A fast-moving platform team and a slower application team may have very different workflows, repo mixes, and review patterns. Team-scoped KPIs help you compare like with like.
DeliveryCompass lets you map teams and repos so each team’s charts reflect the GitHub activity that belongs to that group. That makes it easier to answer questions such as:
- Which team is getting PRs to merge fastest this month?
- Which team has the longest review waits?
- Is one team improving while another is flat?
- Are repo assignments changing the picture?
For the mechanics of scoped reporting, see /docs/how-it-works and /docs/teams-and-repos.
How to read the dashboard for team-to-team comparison
The overview dashboard is the fastest place to compare delivery speed across teams. Use it to scan team KPIs, trend charts, and the team performance table before you move into a specific drill-down.
A simple comparison flow looks like this:
- Check the team performance table for the current ranking.
- Look at trend charts to see whether the gap is stable or changing.
- Open a team chart grid to compare related metrics side by side.
- Use drill-down to inspect the PRs behind a spike or drop.
That sequence keeps you from overreacting to one noisy data point. If a team looks slower, the drill-down can show whether the issue is review wait time, larger PRs, or a backlog of old work. For the dashboard layout, see /docs/dashboard and /docs/team-analytics.
Separate speed from flow problems
Two teams can have the same lead time for different reasons. One might move slowly because reviews start late; another might merge quickly but still accumulate long-lived PRs because work arrives in batches. That is why delivery speed should be read alongside PR flow patterns.
When you compare teams, look for these common patterns:
- Slow start, normal finish: first review is the bottleneck
- Normal start, slow finish: final review or merge coordination is the bottleneck
- Long tail of aged PRs: work is getting stuck, not just moving slowly
- High variance: the team’s process is inconsistent, so averages mislead
This is where chart milestones and drill-downs help. They let you point to the point in time where the team’s flow changed, instead of guessing from a single summary number. See /docs/chart-milestones for how milestone markers support that review.
Use weekly summaries to prepare the conversation
If you compare teams every week, you do not need to rebuild the story from scratch. Weekly summaries highlight what changed, which team moved, and where attention is needed for staff meetings.
For managers, this is useful because the comparison becomes a conversation starter rather than a reporting chore. You can enter the meeting with a short list:
- Which team improved week over week?
- Which team needs help with review responsiveness?
- Which repo set is contributing most to the slowdown?
- Did any team’s delivery speed change after a process shift?
See /docs/weekly-summary and /docs/guides/staff-meeting-metrics for a cleaner meeting workflow.
Keep the comparison fair and repeatable
Fair comparisons depend on consistent rules. Before you rank teams, make sure the scope is stable and the definitions are the same from one period to the next.
- Use the same PR date range for every team
- Keep team-to-repo mapping consistent
- Compare similar work types where possible
- Review the same metric definitions each week
- Check whether outliers are creating false gaps
Because DeliveryCompass uses a read-only GitHub App install and daily sync, the data stays aligned with your GitHub activity without changing your workflow. If you are setting things up for the first time, start with /docs/setup. If you hit a configuration question, /docs/troubleshooting and /docs/faq cover the common paths.
FAQ
What is the best metric for comparing team delivery speed in GitHub?
PR lead time is usually the best first metric because it shows the full time from opened to merged. Pair it with review responsiveness so you can tell whether a team is slow overall or only slowing down at review.
Can I compare teams that work in different repos?
Yes, as long as you map teams and repos consistently. Scoped KPIs make the comparison more meaningful because each team is measured against the GitHub activity that belongs to it. See /docs/teams-and-repos.
Why do two teams with similar averages still feel different?
Averages can hide variation. One team may have many quick PRs and a few very old ones, while another team may have a steady flow. Use trend charts and drill-downs to see the shape behind the number.
How often should managers compare team delivery metrics?
Weekly is a good cadence for most engineering managers. It is frequent enough to spot trend changes and slow enough to avoid chasing daily noise. Weekly summaries can help you keep that rhythm.
Can I use this for staff meetings?
Yes. Team comparisons work well in staff meetings when they are framed as flow questions: what changed, where is the bottleneck, and what support does the team need next? For a practical meeting format, see /docs/guides/staff-meeting-metrics.
Ready to compare team delivery metrics GitHub data the practical way? Start onboarding and connect your GitHub org to scoped team KPIs, trend charts, and weekly summaries.