Agent Quality Metrics Dashboard Audit: What to Measure and What to Ignore
Choose metrics that show whether the assistant helps.
Added October 15, 2026. Written with AI assistance and checked for clarity and placeholders; not reviewed by a lawyer, accountant, clinician or other professional. How these prompts are made
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Audit the metrics for our assistant. Current metrics and how they are calculated: [CURRENT_METRICS]. The assistant's goals: [GOALS]. Data available: [DATA_AVAILABLE]. Decisions the metrics support: [DECISIONS]. For each metric state what it measures, what it hides, how it can be gamed, and whether it supports a decision. Make a table with Metric, Definition, Risk of misleading, Better alternative, and Frequency. Suggest a balanced set (task success judged on samples, escalation rate, correction rate, user satisfaction on a small survey, safety incidents, cost per task) with the formulas and the arithmetic for an invented example. Provide a sampling plan for human review and a monthly report layout. Avoid claiming benchmark values. Mark any claims about industry norms as unknown. Add a worked example: 'conversations handled' rose 40 percent, but escalation rate rose from 12 to 21 percent and the correction rate from 4 to 9 percent, so volume alone is misleading; show a balanced scorecard with five metrics and invented values.
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