Agreed. 1 dimension can represent the impact to an individual user, and the other dimension represents the pervasiveness (frequency) in the user base/market. W

Agreed. 1 dimension can represent the impact to an individual user, and the other dimension represents the pervasiveness (frequency) in the user base/market. We have applied the same metric to feature request prioritization. Severity can be thought of as necessity for an individual customer (must have, should have, nice to have, could have, won’t have) and frequency represents an estimation of demand in the market. We even created our own Jira plugin to calculate the product of these and use that number as a self prioritizing index.