Quality Metrics

Quality metrics are the concrete measurements you use to track model performance — things like refusal rate, accuracy on factual questions, response length, tone scores, or user satisfaction ratings. The right set of metrics depends on your product context; a helpful metric for a creative tool might be irrelevant for a compliance-sensitive application. The danger with quality metrics is Goodhart’s Law: once a metric becomes a target, teams can unintentionally optimize for the measure rather than the underlying goal. For behavior architects, the discipline is in choosing metrics that genuinely reflect what users need, monitoring multiple metrics simultaneously, and being willing to retire metrics that have started to mislead.