Time to Resolution
Time to Resolution measures how long it takes from the beginning of a customer issue until that issue is fully resolved.
It is an important support metric because customers care not only about how quickly someone responds, but also how quickly the problem is actually completed.
What Is Time to Resolution?
Time to Resolution tracks the full lifecycle of a support issue.
It may begin when:
- A ticket is created
- A customer starts a support conversation
- A case enters a support queue
- An issue is first reported
It ends when the issue is considered resolved.
Time to Resolution Formula
A common approach is:
Average Time to Resolution = Total Resolution Time / Number of Resolved Issues
For example, if three cases take:
- 2 hours
- 4 hours
- 6 hours
the average Time to Resolution is:
4 hours
Time to Resolution vs. First Response Time
First Response Time measures how long the customer waits for the first meaningful reply.
Time to Resolution measures how long the entire issue takes.
A team can respond immediately but still take days to resolve the request.
Time to Resolution vs. Average Handle Time
Average Handle Time measures the amount of active handling work.
Time to Resolution measures total elapsed time.
For example, a support case may require only 20 minutes of agent work but remain open for two days while waiting for an external approval.
Time to Resolution vs. First Contact Resolution
First Contact Resolution measures whether the issue was resolved during the first interaction.
Time to Resolution measures duration.
An issue resolved on first contact usually has a short resolution time, but the two metrics are not identical.
What Affects Time to Resolution?
Routing
Incorrect routing creates delays.
Knowledge Access
Agents need to find the right information quickly.
Tool Availability
Some issues require account actions, calculations, or other tools.
Dependencies
Resolution may depend on another team or external system.
Customer Response
The workflow may wait for additional information from the customer.
Approval
Some actions require human or managerial approval.
Complexity
Complex cases naturally take longer.
How AI Can Reduce Time to Resolution
AI can help by:
- Classifying requests
- Retrieving information
- Answering routine questions
- Collecting missing details
- Routing correctly
- Summarizing history
- Using approved tools
This can remove delays between workflow steps.
Automated Resolution and Resolution Time
Automated Resolution can reduce Time to Resolution dramatically for routine requests.
If an issue can be fully completed in the first automated interaction, there is no need to wait for a human queue.
Human Handoff and Resolution Time
Handoff should happen at the right moment.
Escalating too early creates unnecessary human workload.
Escalating too late can waste time while automation repeatedly fails.
A good Human Handoff design balances both.
Measuring Time to Resolution
Organizations should define:
- When timing begins
- What counts as resolved
- Whether paused time is included
- How reopened cases are treated
- Whether business hours matter
- Which issue types are eligible
Consistency is essential for meaningful comparisons.
Time to Resolution by Issue Type
Different request types naturally have different resolution times.
Examples:
- Policy question: minutes
- Account investigation: hours
- Technical bug: days
- Contract exception: longer
Segmenting by issue type provides more useful insight than one global average.
Improving Time to Resolution
Useful approaches include:
- Better routing
- Better search
- Fewer handoffs
- Stronger automation
- More complete customer context
- Faster tool access
- Clearer ownership
- Automated status updates
Time to Resolution in AskHandle
AskHandle can shorten resolution time by combining AI answers, Document Search, Data Search, questions, routing, tool-enabled capabilities, and Human Handoff within one workflow.
The objective is to reduce unnecessary waiting and manual transitions between support steps.