Hi Community,
I’m curious how different teams analyze where time is actually spent in their Jira workflows.
Many teams track metrics like Cycle Time, Lead Time, Resolution Time, or time in specific statuses such as Code Review, QA, Waiting for Customer, or Blocked. But one challenge I often see is that a single number does not explain the reason behind the delay.
For example, if Cycle Time increased this month, the next questions are usually:
Which status contributed most to the total time?
Is the delay caused by a few outlier issues or a wider pattern?
Is WIP building up in a specific part of the workflow?
Did the trend get worse gradually or after a specific point?
I’m interested in how teams currently investigate this in Jira.
Do you usually use Jira dashboards, JQL, exports, marketplace apps, custom reports, or spreadsheets?
For context, we recently added a Flow Insights view in Time Metrics Tracker | Time Between Statuses, where teams can select a custom time metric and review related signals in one place: trend, status contribution, WIP, and outliers.
I’d love to hear how you approach this today:
What metric do you check first when workflow performance gets worse?
Do you care more about trend, status breakdown, WIP, or outlier issues?
What would make this type of analysis easier inside Jira?