Time to resolution measures how long it takes to fully resolve a reported issue, support ticket, or incident. In SaaS, teams use it to understand support effectiveness, service reliability, and the effort customers need to get problems fixed. The metric should measure a clear start point, such as ticket creation, and a clear end point, such as confirmed resolution.
How to Calculate Time to Resolution
Average Time to Resolution
Total elapsed time to resolve tickets in the selected group ÷ Number of resolved tickets in that group
Example: If four resolved tickets took 2, 4, 6, and 8 hours, average time to resolution is (2 + 4 + 6 + 8) ÷ 4 = 5 hours.
Decide whether the clock measures calendar time or business hours, and how reopened tickets are handled. For a more complete view, track median and percentile times as well as the average, and report unresolved tickets separately so they do not disappear from the analysis.
Time to Resolution vs. First Response Time
| Metric | Measures |
|---|---|
| Time to resolution | Elapsed time until the issue is resolved under the chosen definition |
| First response time | Elapsed time until the first meaningful support response |
| Time to acknowledge | Time until the team confirms it has received an issue |
| SLA compliance | Whether a response or resolution target was met under the service-level agreement |
Why Time to Resolution Matters
- Reflects support outcomes: It helps show how quickly customers’ issues are resolved, not just acknowledged.
- Identifies recurring bottlenecks: Long resolution times can point to missing documentation, complex escalation paths, or product defects.
- Supports service planning: Teams can estimate workload and identify cases that need specialist attention.
- Improves customer experience: Resolving issues efficiently can reduce disruption, although quality and communication matter too.
How to Improve Resolution Time
- Classify tickets consistently. Use severity, issue type, and product area to make comparisons useful.
- Route tickets to the right team. Reduce transfers caused by unclear ownership.
- Improve troubleshooting resources. Maintain accurate help articles, runbooks, and internal knowledge.
- Set escalation rules. Make it clear when an issue needs engineering, security, or another specialist.
- Automate repetitive work carefully. Templates and diagnostic tools can speed up common cases without replacing judgment.
- Analyze reopened tickets. Fast closure is not a good result if the issue was not actually fixed.
Common Mistakes
- Measuring only business hours in one report and calendar hours in another.
- Closing tickets before the customer’s issue is resolved.
- Ignoring severity and comparing minor questions with major incidents.
- Reporting averages without considering long-running outliers.
- Optimizing speed while allowing resolution quality or customer satisfaction to fall.
Frequently Asked Questions
What is a good time to resolution?
It depends on severity, complexity, customer expectations, and contractual commitments. Set different targets for different issue classes and review customer outcomes alongside speed.
Should time to resolution include weekends?
That depends on the service definition. Calendar time captures the full elapsed delay; business-hour time may be more suitable for a support team that operates only during stated hours. Label the method clearly.
How should reopened tickets be counted?
Define whether resolution time ends at the first closure or the final confirmed resolution. Track reopen rates as a quality signal so teams do not improve the metric by closing tickets prematurely.