Quick answer
After QA dashboard, spot-check the output, then decide whether to delete/archive the original; keep a backup. A QA dashboard should answer what worsened, why, and who owns the fix.
Why it matters
A backup lets you roll back if the output is wrong.
Three layers: outcomes, process, root cause.
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
- Three layers: outcomes, process, root cause.
- Every metric needs definition, window and owner.
- Keep fewer than eight core metrics.
FAQ
What should I do after QA dashboard?
After QA dashboard, spot-check the output, then decide whether to delete/archive the original; keep a backup. A QA dashboard should answer what worsened, why, and who owns the fix.
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: Databox