Cycle Time Impact: Reopened vs Direct

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Where to find it:Operations AnalyticsReopen rates
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It is easy to talk about rework as a problem in the abstract. This visual makes the cost concrete — in calendar days. By comparing the average time from creation to final resolution for tickets that sailed through cleanly against those that were reopened at least once, you can put a number on what rework actually costs your team.

In most teams, reopened tickets take significantly longer to reach final resolution than direct-to-done tickets — not just because of the rework itself, but because of the context-switching, reprioritization, and re-explanation that comes with every reopen.

What you can conclude

  • A large multiplier between the two cohorts (e.g. 5× or more) is a strong business case for investing in better acceptance criteria, clearer requirements, or earlier testing.
  • If the gap is small, reopens may be handled quickly and efficiently — the process for handling rework is mature even if the rate is not ideal.
  • Use this number in planning conversations to estimate the true delivery cost of a sprint with a high reopen rate.

How this chart works

Grouped bar chart comparing average cycle time (days from creation to final Done) for two cohorts: issues resolved without reopening vs. issues reopened at least once.

Use the project and date filters to focus the comparison on a specific team or time period.