How to Measure Application Change Time

Learn about Application Change Time, including how to measure it, and leverage it in dashboards and visualizations with Metabase.

What is Application Change Time?

Application change time is a metric that describes the amount of time it takes for an end user to upgrade to the latest version of a product. Most of the time, a new version of an application has important security updates to prevent vulnerabilities on the user’s end, so it’s important to note how quickly your end users are updating. If they aren’t updating fast enough, it could be an indication that you should make an effort to educate your users on the importance of updating or implementing something that helps make the update process easier.

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How to calculate Application Change Time

Application change time can be calculated in days as an average. It’s up to you to decide an acceptable amount of time for a user to update, so knowing your average has no set expectation for what’s acceptable. You can do the following calculation to figure it out: Total number of days for end users to update / Total number of end users = Application change time It’s important to try and include active users, as inactive users might muddle your results.

Other KPIs to measure related to Application Change Time

  • Application Monitoring
  • Change Volume
  • Code Simplicity
  • Commit to Deploy Time
  • Cost Performance Indicator
  • F1 Score
  • Flow Efficiency
  • Issue Resolution Time

Why build a dashboard for Application Change Time?

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How to use Metabase to measure Application Change Time

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