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Domain 2 – Output Evaluation and Validation (21%) – Largest domain
6 lessons, each ending with a practice scenario (Pro)
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- ✓2.1 — Evaluating Outputs for Accuracy and CompletenessTreat every Claude output as a strong first draft from a brilliant colleague who can be confidently wrong. Fluency and confidence are properties of the writing, not evidence about the facts.Scenario: Pro
- ✓2.2 — Identifying Hallucinations, Inconsistencies and BiasThree failure types, each with a different response: Hallucination, Inconsistency, Bias; Hallucination Risk Concentrates Where Grounding Is Thinnest: Private internal systems/documents Claude was never given; Very recent events; Precise figures not in the source material; Highest-risk shape: confident numbered instructions for an internal tool Claude has never seen.Scenario: Pro
- ✓2.3 — Fact-Checking and Validation TechniquesValidation effort is ordered cheapest to heaviest, with a judgement layer for proportionality.Scenario: Pro
- ✓2.4 — When Human Review or Additional Verification Is RequiredEscalation passes a Claude output to a qualified person to review before use. Triage decides who reviews, never whether anyone does.Scenario: Pro
- ✓2.5 — Editing, Adapting and Comparing Outputs for the AudienceClaude drafts; you edit. Earlier objectives asked whether an output is right; this one asks whether it is right for its reader.Scenario: Pro
- ✓2.6 — Curating Information and Selecting Output FormatsA long, productive conversation is not a deliverable. Curation extracts what the deliverable needs. Format selection gives it the container its reader will use.Scenario: Pro
Domain recapQuick overview of all lessons
- Check accuracy and completeness
- Detect hallucinations, inconsistencies, and bias
- Fact-checking techniques
- Decide when human review or additional verification is required
- Edit, refine, and choose appropriate output formats (artifacts, structured data, etc.)
Domain 3: Product & model selection →