1. First we weight the data so that it reflects age/gender proportions of the total population
2. Then we compute a score for each metric using coefficients which are the results of thousands of tests
3. Then we normalize the scores comparing their average to our norms, i.e. results of hundreds of other ideas.
That's why we can call it 'Very good' or 'Poor' or "Outstanding', all being relative terms.