Eval Metrics Pocket Deck
Choose AI app metrics based on the decision each metric should support.
User value What metric tells you users are completing the AI-supported job? Task completion rate or successful handoff rate. A model can score well while users still abandon or escalate the workflow. Accuracy versus task success Which metric answers launch value better? Model metrics support launch decisions, but task success anchors product value. Objection Can we just use thumbs-up ratings after launch? A stakeholder wants to skip pre-launch evals. Your line Thumbs-up is useful feedback, but it is delayed and biased. Launch needs pre-release evidence on known normal, edge, refusal, and escalation cases. Letting post-launch sentiment replace risk-based evaluation. It…
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