4.1 — Defining Evaluation Metrics
CCAR-P Domain 4 · Task 4.1
What You Need to Know
Every metric has three parts: definition, measurement method, and target with baseline. Define metrics before the build.
Five Metric Families
| Family | Professional distinction | Single-number mistake |
|---|---|---|
| Accuracy | Match metric to task shape (exact match, per-field P/R, rubric) | One aggregate “% correct” over heterogeneous tasks |
| Latency | Percentiles; distinguish TTFT vs total completion | Mean that conceals the tail |
| Cost | Per task at projected volume | Per-token figures with no volume |
| Safety | Refusal correctness in both directions | Counting refusals as if more were always safer |
| Security | Resistance measured under adversarial testing | Resistance claimed on paper |
Success Metrics vs Guard Metrics
Success metric = what a change should improve. Guard metrics = what it must not damage (cost/task, tail latency, safety rates). A variant that lifts the headline while breaching a guard has failed.
Leading Signals, Lagging Proof, Proxy Trap
- Leading signals (token spend, refusal rate) → early warning
- Lagging proof (formal eval) → decisions
- Proxy trap: a proxy optimised hard enough stops tracking the outcome it proxied. Audit periodically.
Key Concept: Success criteria should be specific, measurable, achievable, and relevant. Most use cases need multidimensional evaluation.
Exam Traps
- Accepting mean latency as the latency metric/SLA target
- Deferring metric definition until after launch
- Scoring safety as harmful-output rate alone
Check your understanding
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Sources
- Define success criteria and build evaluations, Claude Platform Docs
- Demystifying evals for AI agents, Anthropic