AI-BENCHMARKING5 MIN READ
Turn Benchmark Goals Into Metrics With GQM
Translate an AI benchmark goal into questions and metrics that preserve decision relevance.
GQM in one pass Start with the decision goal, not the available metrics. Goal: reduce manual review time without increasing regulatory misses. Questions: Does the model catch regulated-language cases? Does it route ambiguous cases to humans? Does it stay within queue timing? Metrics: Recall on regulated-language cases Deferral precision p95 latency Common trap A metric that answers no benchmark question is not neutral. It can still pull attention and distort the decision.
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