Weighting in the Dashboard score

Weighting lets you assign different levels of importance to metrics and so calculate a dashboard score that is a more accurate representation of the overall health of the initiative that the dashboard covers.

On a Dashboard page, you can edit weighting under ... > Edit weighting.

Three-level metric weighting

Dashboard score weighting uses a three-level system in which one of three tiers of importance can be assigned to a metric:

 1: This is the default and is of medium importance

 0.5:  The lowest level of importance with half the influence of a level 1 metric.

2: The highest level of importance with double the influence of a level 1 metric.

Weighting is also available in calculating the Controls Scorecard overall score. For more information, refer to Weighting in the Scorecard score

How does metric weighting affect the Dashboard score?

The use of preset multipliers to set the weighting provides a fast and intuitive way of setting relative importance of each metric.

The default calculation without weighting is:

• (number passing / number of tested) * 100

Not using weighting is equivalent to having all weights set to 1.

When weights are used, the calculation is as follows:

• (sum of weights of each passing / sum of all weights) * 100

Metric weighting example

Lets say we have four metrics as follows:

The score for this is calculated as follows:

• ( sum of weights of passing metrics = 2 + 0.5 + 1 / total weights = 2 + 2 + 0.5 + 1 ) * 100
  = (3.5/5.5) * 100
  = 64% (rounded up)

Without weighting the score would be 3/4 * 100 = 75%. You can see with weighting that the score is adjusted accordingly.