Setting Goals and Success Criteria › Making Criteria Measurable

Michael BrenndoerferJuly 31, 20251 min read
AI Agent HandbookAll chapters
Part 11 of 15Evaluation - Measuring Your Agent's Performance
Chapter 30Setting Goals and Success Criteria › Making Criteria Measurable
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Good success criteria are specific and measurable. "The agent should be good" isn't useful. "The agent should correctly answer 90% of factual questions from our test set" is.

Turn each vague goal into a measurable criterion:

Vague: "The agent should usually work."

Measurable: "The agent should successfully complete tasks in at least 85% of test cases."

Vague: "Responses should be fast."

Measurable: "90% of single-turn queries should receive responses within 3 seconds."

Vague: "The agent should handle errors well."

Measurable: "When a tool call fails, the agent should provide a helpful error message to the user and suggest alternatives 100% of the time."

Notice the pattern: measurable criteria include numbers and clear conditions. You should be able to look at an interaction and definitively say whether it meets the criterion.