Measure averages, medians, and percentile reply times precisely. Reveal bottlenecks, breach rates, and consistency gaps. Make smarter scheduling decisions using evidence from every response.
| Ticket | Response Time (min) | SLA Target (min) | Status |
|---|---|---|---|
| TCK-101 | 12 | 20 | Within SLA |
| TCK-102 | 18 | 20 | Within SLA |
| TCK-103 | 24 | 20 | Breach |
| TCK-104 | 9 | 20 | Within SLA |
| TCK-105 | 32 | 20 | Severe Delay |
Average response time = Sum of all response times ÷ Total responses.
Median response time = Middle value after sorting all response times.
P90 and P95 = Interpolated percentile positions within the sorted response time list.
SLA compliance rate = (Responses within SLA ÷ Total responses) × 100.
Breach rate = (Responses above SLA ÷ Total responses) × 100.
Coefficient of variation = (Standard deviation ÷ Average) × 100.
Responses per hour = 60 ÷ Average response time.
Delay cost = Sum of minutes above SLA × Delay cost per minute.
Efficiency score combines SLA compliance, percentile control, and consistency into a normalized 0–100 performance index.
1. Enter a label to identify the team, queue, or workflow.
2. Set the SLA target in minutes for acceptable first response time.
3. Add a warning threshold for severe delays that need attention.
4. Input workday hours to estimate hourly and daily capacity.
5. Add optional delay cost per minute to value missed service time.
6. Paste response times in minutes, separated by commas or line breaks.
7. Click Analyze Response Time to generate results above the form.
8. Use the CSV option for spreadsheet analysis or the PDF option for printable reports.
It measures response speed, consistency, percentile performance, SLA compliance, breach counts, workload capacity, and estimated delay cost from entered response times.
Median shows the typical center of performance and reduces the influence of extreme delays. Average alone can look worse or better when outliers distort the dataset.
They show how long the slowest 10% and 5% of responses take. These percentiles help reveal tail delays that averages may hide.
The calculator counts every response at or below the SLA target, divides that number by total responses, and converts the result into a percentage.
It is based on the coefficient of variation. Lower variation means more predictable response behavior, while higher variation signals unstable service delivery.
Yes, but all values must use the same unit. If you enter seconds, keep SLA, warning threshold, and all response values in seconds too.
It multiplies every minute beyond the SLA target by your chosen cost rate. This helps translate timing issues into operational impact.
Export after analysis when you need to share findings, keep records, compare periods, or move results into a spreadsheet or printable review.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.