Team Performance
Cycle Time in Software Development: How to Measure and Optimize
In today’s fast-paced software development environment, understanding and optimizing cycle time is crucial for engineering managers, team leads, and product leaders who want to deliver high-quality software efficiently. Cycle time—the elapsed time from when work begins on a task until it is delivered—serves as a fundamental metric for measuring developer productivity, identifying bottlenecks, and driving continuous improvement. This comprehensive guide examines the essentials of cycle time in software development, provides actionable steps for measuring it, and details proven strategies to optimize it, leveraging insights from git analytics platforms such as Gitrolysis.
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.