Quality metrics must be valid, reliable, and feasible to be useful and meaningful in healthcare performance improvement. Validity ensures the metric measures what it intends to measure, reflecting true aspects of quality care. Reliability means the metric produces consistent results across different observers and over time, essential for credible comparisons and trend analysis. Feasibility means data can be collected with reasonable effort and cost, enabling regular monitoring and timely decision-making (The Joint Commission, Measurement Standards, 2024; National Quality Forum, Measure Evaluation Criteria, 2024). Without these qualities, data can mislead or fail to drive improvement. For example, a metric lacking validity may not reflect actual patient outcomes, while unreliable data can produce conflicting results, undermining trust. Feasibility is critical to ensure sustainable quality measurement systems. Other options like “random” and “reactive” are less relevant: metrics should be systematic and proactive rather than reactive. This triad of characteristics is emphasized in accreditation standards and quality improvement frameworks.