How to use this calculator
- Choose one item-level error definition.
- Enter all reviewed items and the items that failed.
- Add an optional correction cost.
- Calculate and interpret the rate using the same unit throughout.
Quantify how often reviewed analytics work needs correction. Enter the number of analysis items reviewed, the items that failed the chosen acceptance rule, and an optional rework cost. The result gives the observed correction rate, first-pass acceptance rate, errors per 1,000 items, and estimated rework cost. Keep the unit of analysis consistent—for example, do not mix entire dashboards with individual chart defects.
Error rate = errors ÷ reviewed items × 100%
Errors per 1,000 = error rate × 1,000. Estimated rework = errors × cost per error.
The main result is the observed item-level error rate. The supporting results restate that rate and estimate direct correction cost using your own assumption.
Define an error consistently. This descriptive rate does not include a confidence interval or adjust for nonrepresentative sampling.
For 14 corrected items among 200 reviewed, the correction rate is 7.00%, first-pass acceptance is 93.00%, and the rate is 70.00 corrections per 1,000 items. At $90 each, estimated rework is $1,260.
Not with this item-level rate. Count the item once, or switch to a defect-opportunity metric and clearly redefine the denominator.
Yes, when no sampled items fail. A zero observed rate does not prove the population error rate is exactly zero.
Use every item that had a genuine opportunity to be checked under the same rule, including both passes and failures.
It expresses the same rate on a convenient scale: error count divided by total items, multiplied by 1,000.
It is a simple estimate based on the entered cost per observed error. It excludes fixed costs, downstream effects, and variation between errors.
| Output | Formula |
|---|---|
| Error rate | Errors ÷ total |
| Clean rate | 1 − error rate |
| Per 1,000 | Error rate × 1,000 |
| Rework | Errors × unit cost |