How to Measure the Average Approval Time for Requests
Measuring average approval time means tracking, systematically, how long requests take from submission to decision — not estimating it from memory or the occasional complaint. In Jestor, this data is captured automatically through SLA tracking on every approval card.
Without this data, "approvals are slow" stays an impression. With it, it becomes a specific number tied to a specific stage — which is what actually leads to a fix.
What makes approval time hard to measure manually
- No consistent timestamp logging across different request types
- Different teams tracking (or not tracking) approval time inconsistently
- Data that exists in email threads, not in a structured, queryable form
- No baseline to compare "before" and "after" a process change
How to measure it automatically
- SLA tracking records time spent at every stage of every approval, by default
- Average time per stage can be calculated across any date range or request type
- Comparing averages before and after a process change shows real impact
- Outliers — requests that took far longer than average — are easy to isolate
Why Jestor fits this use case
- SLA data is captured automatically, with no manual logging required
- Averages and outliers can feed dashboards without a separate report
- Comparisons across teams, request types, or time periods are straightforward
- Gives management concrete numbers instead of anecdotal impressions
| Metric | What it shows |
|---|---|
| Average time per stage | Where the process is fastest and slowest |
| Outlier requests | Cases that took far longer than typical |
Frequently Asked Questions
Is this data available without a separate reporting tool? Yes, SLA data can feed dashboards directly. More at jestor.com.
Can I compare approval time before and after a change? Yes, by comparing SLA averages across different time periods.
Does this work for any type of approval, not just financial? Yes, SLA tracking applies to any process built on Jestor's cards.
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