Interactive AI QA Demo
AI QA Operations Dashboard
A 90-day interactive operating view for AI-supported QA, quality trends, defect drivers, and closed-loop action tracking.
Signal → Root Cause → Owner → Action
Operating Lens
QA Governance
Quality governance keeps the rubric calibrated, visible, and defensible for leadership reviews.
Data Notice: Synthetic/anonymized sample data only.
90-Day Trend
Use this view to show whether quality controls are improving outcomes over time, not just producing more scores.
Executive Interpretation
What changed, why it matters, what action leadership should take, and who owns the next step.
Top Defect Drivers
Selected window aggregate.
Validation & Coverage
Human review coverage and exception handling.
Owner / Action Tracker
Signals, owners, and next steps.
Case Drilldowns
Examples of signal, cause, and action.
First 30 Days
- Map workflows, channels, QA criteria, and current reporting.
- Review sample interactions and identify high-risk defect patterns.
- Document quick wins and unclear ownership loops.
Days 31–60
- Validate rubric logic, calibration health, and AI QA agreement.
- Create reason-code structure and executive insight template.
- Identify dashboard gaps and owner/action cadence.
Days 61–90
- Implement repeatable governance and leadership readouts.
- Track action-plan closure and defect recurrence.
- Establish AI QA validation cadence and feedback loop.