The collaboration process is as critical as the code your engineers write. Now you can measure and manage collaboration. And see your teams inner workings.
The highest performing engineering teams communicate and collaborate effectively. GitPrime objectively measures knowledge sharing and collaboration. So that you can build your best team and culture.
The larger your team, the harder it is to manage knowledge distribution, and teamwork dynamics that may be impacting cycle times and code quality. Collaboration in GitPrime provides a powerful visualization into your teamwork dynamics.
With Collaboration, you can objectively measure and identify team dynamics. Helping you build a better culture.
What would you do if your most prolific engineers were suddenly unavailable? It's the hit-by-a-bus factor. And it could bring production to a stop.
Knowledge Sharing reports in GitPrime reduce the bus factor, and help you measure and improve how codebase knowledge is distributed across your team. Get actionable insights into knowledge silos, and use data to distribute value evenly across your engineering team.
Reviewing each other’s code and talking through solutions, is a substantial part of what it means to be a software engineer. But for managers and engineering leaders, the code review process at scale is difficult to manage.
Bottlenecks, struggling PRs, patterns, and anti-patterns in team collaboration, and knowledge distribution are all visible in GitPrime.
How quickly does your team respond to new PRs?
How long does your team take to close PRs?
How many revisions occur post code review?
Where do PRs sit on a 5-point scale of activity?
Where do tickets sit on a 5-point scale of activity?
All software companies reach a certain scale where it becomes increasingly difficult to write code and release new product. I can't imagine a company like ours operating without GitPrime.”Mathew Spolin, VPE AppDirect
Decrease in Time to Resolve PRs
Increase in Impact to the Codebase
Decrease in Unreviewed PRs
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Get StartedAccelerate software delivery cycles and time to market.
Better understand how engineering resources are deployed.
Calculate real costs for new and ongoing initiatives.
Spot healthy and unhealthy work patterns.
Focus on facts over feelings, and objectivity over subjectivity.
Turn code into a language that everyone can understand.