How to Measure Lead Time For Changes

Learn about Lead Time For Changes, including how to measure it, and leverage it in dashboards and visualizations with Metabase.

What is Lead Time For Changes?

Lead time for changes, or mean lead time for changes (MLTC) is a DevOps metrics used to determine the average time it takes from the first commit to the eventual deployment of code. This metric does an excellent job of determining how effective your CI/CD pipeline is and how well your DevOps team works with it. This includes any time spent from the start of a commitment fixing bugs, getting approvals, and any testing involved before deployment. You can learn a lot about how your team is working through your lead time for changes as it’ll be one of the most repeated processes you’ll see in development. It can highlight areas that could be made easier and change things like your approval process.

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How to calculate Lead Time For Changes

Your lead time for changes can be determined by dividing the total sum of time spent from commit to deployment by the number of commitments made. For example, if the total amount of time spent on a project was 40 hours and 16 commits were made during that time, the lead time for changes would be 2.5 hours. That means it takes an average of 2.5 hours for a team to make changes and progress until deployment.

Other KPIs to measure related to Lead Time For Changes

  • Uptime
  • Error Rate
  • Cost of New Development
  • Mean Time Between Failure
  • Online Application Performance
  • Time to Value
  • Build Time
  • Recovery Point Objective
  • Downtime

Why build a dashboard for Lead Time For Changes?

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How to use Metabase to measure Lead Time For Changes

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