Member-only story
3 Crucial Metrics for Measuring Engineering Team Performance
And how to leverage them to improve productivity
What’s the overall performance of your engineering team? It’s a question many development teams can’t answer. However, having this information is vital to plan new features and detect problems within your team early.
Capturing different metrics will help you to measure and visualize your engineering team’s performance. This article discusses three different metrics you can measure to detect problems like lack of ownership during code reviews, technical debt, or choking points with key team members. Therefore, let’s look at how we can improve your team’s performance.
3 Important Metrics To Measure Engineering Team Performance
Here are three important metrics you can measure to understand your engineering team’s current performance. On top of that, these metrics form an excellent basis for further improving your engineering team’s performance by continuously measuring their performance.
1. Lead time
Lead time refers to the time needed from feature description to feature implementation in the production environment. It’s a great metric to evaluate the smoothness of your engineering processes.
For instance, processes that cause a lot of friction, lack ownership, or don’t have a clear description will negatively affect the lead time. The level of automation is another crucial element that determines your engineering team’s lead time. For that reason, it’s a must-have metric to track your overall performance.
On top of that, your lead time can help your product team plan new features and their capacity. It helps them to make realistic feature roadmaps and allows for clear communication with your clients. Also, a realistic roadmap puts less pressure on your developers, which is good for the overall mood and retention. High developer stress is one of the primary reasons why developers decide to look for an alternative job.
