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Relevance 7/10Prompting and EvaluationIntermediate6 min read
Conversation Coherence Scoring
Coherence scoring evaluates whether responses remain logically consistent with prior turns.
Why it matters for annotators
Coherence failures reduce trust in assistant products.
Visual mental model
Conversation context -> coherence checks -> score.
Examples (bad vs good)
Scenario: Real annotation scenario involving Conversation Coherence Scoring
Bad: Labeling quickly without applying project rubric.
Good: Applying rubric criteria, documenting rationale, and escalating uncertainty.
Common mistakes
- Skipping guideline details for edge cases.
- Applying inconsistent criteria across similar samples.
- Avoiding escalation even when uncertain.
Submission checklist
- Read the latest guideline update before each batch.
- Apply rubric dimensions explicitly in each decision.
- Escalate ambiguous items with concise rationale.