Product metrics are for describing characteristics of product such as it�s size, complexity, features, and performance. Several common product metrics are mean time to failure, defect density, customer problem, and customer satisfaction metrics.
1. Mean time to failure metric is, to put it plainly, the average time the product runs before experiencing a crash, which is important for systems like air traffic control that are required to have no more than a few seconds of down time in a full year.
2. Defect density metric refers to number of imperfections per:
o Lines of code
o Function definitions
o Lines on input screens
3. Customer problem metric is a measure of problems customers have encountered with the product over the total usage of the product. This metric takes into account that multiple instances of the product can be used at the same time, which effectively multiplies the length of time the product has been in operation by the number of product licenses.
4. Customer satisfaction metric is generally a survey asking customers to rate their satisfaction with the product and/or it�s features on a five-point scale.