Summarize average time to full resolution
A time-per-case average can make it easier to compare periods than raw total resolution hours alone.
Work Tools
Estimate the average time it takes to fully resolve a case, ticket, or support request.
Why this page exists
Support performance gets easier to understand when total resolution time is turned into one time-per-case number instead of being reviewed only as a large time total. This calculator helps teams estimate average resolution time from total resolution time and total resolved cases.
Interactive tool
Enter your numbers and read the result first, then use the sections below to understand what affects the outcome.
Calculator
Estimate the average time it takes to fully resolve a case, ticket, or support request.
Result
Estimated average resolution time based on total resolution time divided by total resolved cases.
This is a simple average, not a full operations diagnostic. Case complexity, backlog mix, reopen behavior, and waiting on customers or vendors can change how useful the number is.
Planning note
Last updated April 16, 2026. Use this tool to compare scenarios and plan ahead, then confirm important details with the lender, employer, insurer, contractor, or other qualified provider involved in the final decision.
How it works
Enter total resolution time and the total number of resolved cases.
The calculator divides total resolution time by resolved case count.
It shows the average resolution time along with the values used in the estimate.
Understanding your result
This is a simple average only. It does not show whether a few complex cases, reopen behavior, or waiting on outside parties are heavily affecting the result.
Browse more work toolsExamples
Example scenarios help turn a quick estimate into a more useful comparison or planning step.
A time-per-case average can make it easier to compare periods than raw total resolution hours alone.
Comparing the average across periods can help show whether full-case handling time is drifting higher.
Average resolution time often makes more sense beside response-time, closure-rate, and resolved-ticket-cost tools.
When to use it
Use this when you want a quick average for how long cases take to fully close.
It is especially useful when comparing one week, month, or queue against another.
Assumptions and limitations
The estimate assumes total resolution time and resolved case count were measured on the same basis.
It does not show the spread between easy and difficult cases.
Common mistakes
Comparing averages from different teams without checking case complexity can lead to weak conclusions.
Mixing elapsed resolution time and active working time in the same metric can distort the result.
Practical tips
Review the average alongside closure rate so you can see both speed and throughput together.
Revisit outlier cases separately if the average shifts suddenly without a clear workload reason.
Worked example
A worked example shows how the estimate behaves when the inputs resemble a real planning decision.
A team logs 18,600 minutes of resolution time across 124 resolved cases.
1. Enter 18,600 as total resolution time in minutes.
2. Enter 124 as resolved cases.
3. Divide time by resolved case count to estimate the average resolution time.
Takeaway: The result gives a clean time-per-case benchmark for comparing service periods.
FAQ
The calculator divides total resolution time by the number of resolved cases and shows the result as an average time per resolved case.
Because a small number of unusually long cases can skew the result even if most tickets are resolved faster.
That depends on how your team defines resolution time, but the result is most useful when the timing basis stays consistent from one period to the next.
Related tools
Response-time, closure-rate, and resolved-ticket-cost tools help show whether faster or slower resolution is helping the broader service picture.
Handle-time and utilization tools can help explain whether staffing or workload balance is affecting resolution performance.
Estimate average first response time from total response time across all cases and the number of cases handled.
Estimate case closure rate from total opened or assigned cases and the number closed.
Estimate average support cost per resolved ticket from total support cost and resolved ticket count.
Estimate average support cases per agent from total support cases and total agent count.
Estimate average handle time per interaction from talk time, hold time, after-call work, and total interactions.