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Count How Many Times You’ve Fixed the Same IT Problem

A ticket closure can hide repeated recovery work. Track each recurrence, keep symptoms distinct from verified causes, and assign durable work where the cost warrants it.
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If a team restores the same service with the same workaround every few weeks, its closure count can make the work look finished while the underlying fault keeps returning. Track each recurrence and its impact, then investigate whether the reports share a cause before treating them as one problem.

Why count repeat fixes?

A ticket marked closed records a recovery, not necessarily a durable correction. If reports are grouped only by broad category, repeated repair work can disappear inside a large pile of unrelated tickets. Grouping by underlying cause—when that cause has been verified—can reveal how often the organization is recovering from the same fault.

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Keep symptoms and causes distinct. Similar reports may be duplicates or separate defects; conversely, one defect can produce different symptoms. A recurrence is a reason to investigate, not proof that every matching ticket has one root cause.

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Build a simple recurrence register

Start with a shared record that can be updated when a related incident appears. Link it to the original tickets so the history remains traceable rather than replacing their details with a single summary.

  • Incident identifier and date: link each occurrence and record when it happened.
  • Symptom: describe what the user or system experienced in stable, specific terms.
  • Context and reproduction steps: capture the relevant environment, actions, and conditions. When a software failure is hard to reproduce, captured steps or a video can help preserve what happened.
  • Suspected cause: label it as suspected until investigation verifies it; preserve separate records when evidence points to distinct defects.
  • Workaround or repair: note what restored service and whether it addressed the cause or only the symptom.
  • Recurrence count and impact: count linked occurrences and record their consequences, such as disruption or repeated staff effort.
  • Owner and next action: name who will investigate or deliver a durable correction, and record the next step and target date.

Update the record with each occurrence, even if the immediate remedy is familiar. That history lets the team distinguish a one-off event from repeated recovery and assess the cost of continuing the workaround.

Restoring service is not the same as fixing the cause

A workaround can be the right response when users need service back quickly. Record it as recovery, however, rather than counting it as proof that the fault is resolved. Durable correction means addressing the underlying defect and checking that the failure no longer occurs under the conditions that produced it.

After a proposed fix, rerun the original reproduction case and reasonable variations. If the failure remains, return the issue to active investigation instead of treating the repair as complete. Preserve what the test showed in the recurrence record.

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Decide which recurring issues need durable work

Recurrence alone does not set a universal priority threshold. Review both how often a cause returns and the business impact of each occurrence, then weigh investigation effort against the continuing cost of workarounds and repeated recovery.

  • High frequency or high impact: prioritize investigation, especially when repeated disruption or recovery effort is material.
  • Low frequency and low impact: keep the history visible and reassess if the pattern or consequences change.
  • Unclear cause: improve the evidence and reproduction record before merging reports or declaring a common root cause.

For causes that merit durable work, assign an owner, a target date, and planned capacity. This is a practical workflow, not a universal benchmark: the right review threshold depends on the organization’s impact and effort trade-offs.

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What one case study can—and cannot—tell you

In a DEV Community article, Serguey Shinder reported that a little over a third of incidents in one sampled month traced to nine underlying faults. The article also reported that eight of the nine faults were eliminated and ticket volume fell by roughly 18%. These are author-reported case figures; the returned account provides no separate methodology or external validation. They illustrate why cause-based tracking may expose concentrated repair work, but they are not an industry average or a forecast for another team.

Shinder closes with the observation, “Being excellent at recovery is how an organisation learns to tolerate a fault indefinitely.” The practical implication is to count recovery as well as closure: a recurring workaround should remain visible until evidence shows the underlying failure has been corrected.

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