Setting Goals and Success Criteria › Making Criteria Measurable
AI Agent HandbookAll chapters Setting Goals and Success Criteria › Making Criteria MeasurableOne section · Sections in this chapter5 / 13 ↓
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.