The Information Economics method adds new errors in another way. It takes a useful and financially meaningful quantity, such as an ROI, and converts it to a score. The conversion goes like this: An ROI of 0 or less is a score of 0, 1% to 299% is a score of 1, 300% to 499% is a 2, and so on. In other words, a modest ROI of 5% gets the same score as an ROI of 200%. In more quantitative portfolio prioritization methods, such a difference would put a huge distance between the priorities of two projects.
