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Scoring

Scoring turns several measures into one rated value with a clear headline, so a stakeholder can read a single verdict instead of a table of numbers. Where Measures hold the facts, a score is the judgment built on top of them.

Core concepts

  • Score definition. A weighted combination of inputs (usually measures) that resolves to one value. The weights are declared, so the result can be explained, not just asserted.

  • Headline. A score carries a red, amber, or green headline alongside its number, for at-a-glance reading.

  • For one or many. Score a single element on demand, or a whole portfolio at once for a list or a quadrant view.

  • Explainable. Because the inputs and weights are recorded, you can trace a headline back to the numbers behind it.

Reading a score

A score reduces several inputs to one number and one colour. The breakdown stays attached, so you can always see how the headline was reached.

Input
Value
Weight
Contribution

Business criticality

High

3

Raises the score

Data completeness

60%

1

Holds it back

Open risks

4

2

Holds it back

Headline

Amber

A single rated verdict

The example is illustrative. The point is that every headline can be opened up into the inputs and weights that produced it, so a red or amber result is never a black box.

Where you see it

  • Scores drive the red, amber, and green headlines in advisory reports and portfolio views.

  • A score reads the same wherever it appears, because it is computed once and shown everywhere.

  • Portfolio scores such as TIME are expressed this way, so a whole population can be ranked or plotted on a quadrant from the same definitions.

How it fits together

Scoring builds on Measures for its inputs, and Data Governance tells you whether those inputs are complete enough to trust the headline.

Guides for defining scores and reading their breakdown will follow in this section.

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