When using a numeric scorecard schema, the score for a measure group involving two measures with 50% weighting each, is calculated as the average of the scores for each measure. E.g…
Scorecard colour schema:
Measure Group 1:
Measure 1 -
- Weighing: 50%
- Score: 99.5
- Contribution To Measure Group: 49.75
Measure 2 -
- Weighing: 50%
- Score: 62.5
- Contribution To Measure Group: 31.25
Sum of (49.57 + 31.25) = 81
As 81 is between colour scheme values 75 and 99 , the average 87 is displayed in UI for the measure group. This is also the value reported in the score column of the Unified Scorecard Fact object.
However, the final value used to calculate the heath score for the relationship is not the average. Instead, 81 is taken, which leads to user confusion on how the scores are calculated.
A second example:
Measure Group 2:
Measure 1 -
- Weighing: 20%
- Score: 62.5
- Contribution To Measure Group: 12.5
Measure 2 -
- Weighing: 20%
- Score: 12.5
- Contribution To Measure Group: 2.5
Measure 3 -
- Weighing: 60%
- Score: 99.5
- Contribution To Measure Group: 59.7
Sum of (12.5 + 2.5 + 59.7) = 74.7
As 74.7 is between colour scheme values 50 and 75 , the average 62.5 is displayed in UI and reported in the score column of the Unified Scorecard Fact object. However, the 74.7 value is taken for calculating the overall module score, despite there being no way to display or report on the value of 74.7 from the measure group.