Quick answer
To compare Multilingual support results, keep input, format and settings fixed and change one variable. Multilingual support is not sentence-by-sentence translation; it is the same policy expressed for another culture.
Why it matters
Changing several variables at once makes results unattributable.
Unify glossary and refund policy first.
Step by step
- Define QA goals and observable behaviors before building a giant scorecard.
- Stratify samples by shift, channel and risk so they represent real problems.
- Calibrate scoring boundaries before ranking or performance decisions.
- Attribute issues to knowledge, process, system or people before choosing fixes.
Common mistakes
- Scoring without calibration makes managers incomparable.
- Sampling only easy tickets biases the result.
- Using QA as punishment makes agents hide context.
- Looking only at CSAT while ignoring resolution and rework.
Checklist
- Scorecard has behavioral anchors.
- Sampling has stratification rules.
- Calibration records disputed samples.
- Issues have owners and review dates.
Key facts
- Unify glossary and refund policy first.
- Human-review high-risk content instead of raw machine translation.
- Read CSAT and resolution by language; do not hide gaps in a global average.
FAQ
How do I compare two Multilingual support results?
To compare Multilingual support results, keep input, format and settings fixed and change one variable. Multilingual support is not sentence-by-sentence translation; it is the same policy expressed for another culture.
How long does it take?
Usually 1-3 minutes; for intermittent issues, run 30 seconds and retest elsewhere.
Is data uploaded?
Runs locally and does not upload video/audio; extensions may still read the page.
Source: Localize