Evaluating AI Output Quality

Summary

AI-generated requirements or analysis can look polished while missing critical business nuance, containing factual errors, or introducing subtle ambiguity — critically reviewing AI output is now as important as prompting it well.

How to Learn This

1Take an AI-generated requirements draft and audit it for ambiguity or missing edge cases.
2Practice fact-checking any numeric claim an AI tool includes in an analysis.
3Define what 'good' looks like for a task before evaluating AI's attempt at it.

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