Measuring Engineering Success
Start with your existing data, normalize it, and gradually build a more insightful dataset. Focus on the PR lifecycle to gauge team efficiency and alignment, as well as the deployment process to ensure value delivery to customers. Understanding lead times and the impact of flaky tests can provide critical insights into team performance and stakeholder management.In this clip
From this podcast

Beyond Coding Podcast
Software Engineering Productivity | Walter de Bruijn | Beyond Coding Podcast #174
Related Questions
What metrics should be considered in evaluating a project or performance?
What are some useful metrics for measuring performance in the episode Software Engineering Productivity | Walter de Bruijn | Beyond Coding Podcast #174 and the clip Measuring Engineering Success?
What metrics should I use to track my team's progress in measuring software engineering productivity, and how do I track them for the episode SE-Radio Episode 317: Travis Kimmel on Measuring Software Engineering Productivity and the clip Engineering Productivity Insights?