Developer Analytics
How Engineering Managers Can Unlock Team Performance Insights Without Breaking the Budget
As an engineering manager, you’re constantly balancing competing priorities: shipping features on time, maintaining code quality, supporting your team’s growth, and proving ROI to leadership. But here’s the challenge—how do you actually measure developer productivity and team performance in a way that’s meaningful, actionable, and fair?
The answer lies in your Git data. Every commit, pull request, and code review tells a story about your team’s work patterns, collaboration dynamics, and delivery velocity. The problem? Making sense of this data manually is virtually impossible. That’s where Gitrolysis comes in.