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Relevance 8/10Data and MetricsIntermediate6 min read
Error Analysis
Error analysis clusters failure patterns and identifies root causes.
Why it matters for annotators
It drives targeted guideline and workflow improvements.
Visual mental model
Failures -> error buckets -> fixes -> remeasure.
Examples (bad vs good)
Scenario: Real annotation scenario involving Error Analysis
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.