Industrial AI Governance & MLOps worked example

Model Performance Gap with performance gap impact score of 4 score: a worked example

Here is what the math looks like when conditions slip. We hold every other input steady and drop performance gap impact score to 4 score, then walk the calculation through step by step. Rank model performance gap risk using production impact, likelihood of degraded performance, and detection difficulty.

The inputs for this scenario

  • Performance gap impact (severity) score: 4 score (the input this scenario stresses; the baseline uses 8)
  • Performance gap likelihood (occurrence) score: 5 score (held at the documented default)
  • Performance gap detection difficulty score: 4 score (held at the documented default)

Working through the calculation

  • The calculation starts from the formula this tool documents: Model performance gap risk score = performance gap impact score × performance gap likelihood score × performance gap detection difficulty score.
  • Model performance gap risk score works out to 4.35 score at these inputs, and this is the headline figure for the scenario.
  • Performance gap impact score works out to 4 score at these inputs.
  • Performance gap likelihood score works out to 5 score at these inputs.
  • Performance gap detection difficulty score works out to 4 score at these inputs.

How this compares with the baseline

  • Against the tool's baseline example, where performance gap impact score sits at 8 score and the headline result is 5.95 score, this scenario comes in 26.89% below the baseline at 4.35 score.
  • The practical read: the gap between this scenario and the baseline is entirely attributable to performance gap impact score, so recovering it is worth quantifying in dollars before considering equipment or staffing changes. It's a relative ranking tool — the absolute number is meaningless unless every model is scored on the identical scale by aligned reviewers.

Results at a glance

  • Model performance gap risk score: 4.35 score (headline result)
  • Performance gap impact score: 4 score
  • Performance gap likelihood score: 5 score
  • Performance gap detection difficulty score: 4 score

Run it with your numbers

  • To rerun this with your own numbers, open the live Model Performance Gap calculator, set performance gap impact score to your actual value, and adjust the remaining inputs to match your operation.

Last reviewed 2026-05-12.