Ticket Resolution Rate
Definition
Ticket Resolution Rate
Ticket resolution rate is the share of tickets a support desk genuinely resolved rather than merely closed. It is resolved divided by total tickets handled, and the word resolved is doing far more work in that sentence than the arithmetic.
Closure and resolution are not the same event — a ticket closed for inactivity has been tidied away, not fixed.
The gap between the two numbers is the interesting part. A desk reporting 96% closure and 74% resolution has a very specific problem.
Reopens belong in the calculation. A ticket that comes back within a week was never resolved in the first place.
Set the closure taxonomy before you set the target — otherwise the target will simply reshape the taxonomy.
Key takeaways
- Ticket resolution rate divides genuinely resolved tickets by total tickets handled.
- Closure for inactivity is not resolution and should be reported separately.
- Reopened tickets must be subtracted from the resolved count.
- The gap between closure rate and resolution rate names the problem precisely.
How it works
Classify every closed ticket by closure reason, count only those where the customer’s issue was actually fixed, then divide by total tickets handled in the period. Subtract any ticket reopened inside the review window from the resolved count.
The taxonomy carries the whole measure. Four or five clear closure reasons work better than twenty overlapping ones nobody applies consistently.
| Closure reason | Counts as resolved | Why |
|---|---|---|
| Fixed and confirmed | Yes | Customer need met and verified |
| Workaround provided | Yes, flagged | Need met, root cause still open |
| Duplicate of another ticket | No | Removed from both counts |
| Closed for inactivity | No | Outcome unknown |
| Reopened within window | No | Original resolution failed |
Service measurement standards push toward evidence. NIST guidance on service metrics argues that a metric must carry its definition, unit, and measurement rules rather than a bare value.
Public accountability frameworks apply the same logic. The US customer experience programme holds High Impact Service Providers to specific published actions instead of one blended score.
Resolution rate also needs a time frame. A desk resolving 90% eventually and 40% inside target is running two different services at once.
Resolution rate also needs a customer voice beside it. A desk can resolve almost everything while leaving people irritated by how long it took, and closure data will never show that.
Review the reason code mix each quarter. When one code starts absorbing a third of all closures, it has usually become a dumping ground rather than a description.
Examples
Resolution figures move sharply once closure reasons are cleaned up, and the direction is almost always downward at first. Four cases across technical, logistics, and internal desks show what tends to surface.
A Philippine IT service desk. Closure rate read 97% and resolution rate 78%. Nearly all of the gap was tickets closed for inactivity after a single unanswered email.
A software support team. Workarounds were counted as full resolutions for a year — until a reopen review showed 22% of them returning within a month.
A logistics help desk. Duplicate tickets inflated both counts. Removing them dropped total volume 11% and raised resolution rate three points.
An internal HR desk. Resolution rate was healthy at 88%, but only 51% landed inside the agreed target time. The desk was thorough and slow.
Related terms
Resolution rate depends on the ticket lifecycle, the people working it, and the agreement that sets the bar. The terms below cover the surrounding machinery.
- Support Ticket: the unit being resolved.
- Ticketing System: the source of the closure data.
- Open Ticket: the state the calculation moves items out of.
- First Contact Resolution: the stricter measure requiring a single interaction.
- Escalation: the route for tickets the first line cannot resolve.
- Helpdesk Analyst: the role doing the resolving.
- Service Level Agreement (SLA): the contract that sets the target time.
FAQ
What is a good ticket resolution rate?
Between 85% and 92% verified for most service desks. Anything above 95% usually means closure is being counted as resolution.
How is it different from closure rate?
Closure rate counts every ticket that left the queue. Resolution rate counts only those where the issue was genuinely fixed.
Should workarounds count as resolved?
Yes, but flag them. The customer is unblocked while the underlying fault remains open somewhere else.
How long should the reopen window be?
Seven days for most desks and thirty for complex technical work. State the window alongside the figure.
Why does the rate fall after a taxonomy clean up?
Because closures that were never resolutions stop counting. The drop is a measurement correction, not a decline.
Does resolution rate replace first contact resolution?
No. One asks whether the issue was fixed, the other asks whether it took a single interaction.
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