Playbookvalidationevidenceclinician-review
Evaluation & real-world validation blueprint
A simple, repeatable structure for evidence-building in high-stakes AI.
Goal
Build evidence that reflects real use.
The blueprint
Step 1 — Define the decision
- What decision changes?
- Who is accountable?
Step 2 — Define failure modes
- What could go wrong?
- What is the mitigation?
Step 3 — Build a realistic test set
- Edge cases
- Missing context
- Ambiguity
Step 4 — Clinician review loop
- Structured rubric
- Disagreement handling
- Documentation
Step 5 — Workflow-level validation
- End-to-end user journey
- Time pressure simulation
- Adoption friction
Step 6 — Post-launch monitoring
- Drift signals
- Incident response
- Iteration cadence