Properties of performance metrics

Real-world example: In the context of software development, one example of a metric that should be linear is the number of bugs found per unit of code. If the number of bugs found is not directly proportional to the amount of code, then it will be difficult to determine whether the software is becoming more or less buggy over time. Property 2: Repeatability Repeatability means that the metric should be able to be measured consistently over time. This means that the same measurement should be obtained if the same process is repeated. If the metric is not repeatable, it will be difficult to track progress and make comparisons over time. Real-world example: In the context of manufacturing, one example of a metric that should be repeatable is the weight of a product. If the weight of the product is not repeatable, it will be difficult to ensure that the product is meeting quality standards. These are just two examples of the six useful properties of performance metrics. It is important to consider all of these properties when selecting and using performance metrics. By doing so, you can ensure that the metrics are accurate, reliable, and useful for tracking progress and making decisions.