Draft reference — content review pending
Translation Quality Issue Rate
The rate of validated translation quality issues against an explicitly defined reviewed unit.
Business question
How many validated quality issues occur per defined reviewed unit?
Formula
Translation quality issue rate = validated quality issues ÷ explicitly defined eligible reviewed words, segments, pages, or deliverables.
Calculation notes
Select one denominator and keep it stable. Define validation, severity, reviewer scope, duplicate findings, sampling, and machine-translation post-editing treatment.
Edge-case guidance
Unreviewed work cannot be treated as issue-free. Separate client preference changes from validated errors and do not infer quality beyond the reviewed sample.
Required data
| Input | Type | Status | Available source hints |
|---|---|---|---|
| Validated quality issuesIssues confirmed under the documented review and severity rules. | Number | Required | Project management system · Excel · Google Sheets · Manual records |
| Eligible reviewed unitReviewed words, segments, pages, or deliverables using one documented unit. | Number | Required | Project management system · Excel · Google Sheets · Manual records |
Interpretation
Use it to monitor validated findings by severity and reviewed unit; it is not a universal measure or linguistic certification.
Caution
This rate is not a linguistic certification, universal quality measure, or proof that unreviewed work has no issues. High throughput or utilization must not be treated as proof of quality.
Implementation recommendation
Publish the denominator, review sample, validation process, severity scheme, and exclusions alongside every trend.
Target guidance
Set the first target from comparable historical performance for translation quality issue rate, then adjust it for the service mix, language pair, capacity, seasonality, data quality, and client commitments. Review the direction with the accountable owner; reducing recorded issues must not be achieved by reducing review coverage or validation rigor.