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sourceDocument: Australia Governance, Risk, and Compliance
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/governance-risk-compliance

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ft:publication_title :

    - Australia Governance, Risk, and Compliance

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# Score normalization

# Score normalization {#ariaid-title1}

* Release version: Australia
* 
* Updated March 12, 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read

In Smart Assessment Engine normalization maps the actual scores to a standardized scale, typically from 0 through 100, enabling for a unified evaluation framework.

## Normalization approach overview {#score-normalization__section_r1k_3g3_1gc}

In Smart Assessment Engine normalization adjusts individual assessment scores to a common scale, enabling comparison across different assessments. Normalization of assessment scores can be achieved through two approaches: Maximizing values, where higher scores are desirable, and minimizing values, where lower scores are preferred.

|-|-|
| To maximize the value | Maximize the value when higher values are better. The following formula is used to get the normalized score: `Normalized Score (High) = ((raw score - minimum Score) / (maximum score - minimum score)) * (scale factor maximum - scale factor minimum) + scale factor minimum ` |
| To minimize the value | Minimize the value when lower values are better. The following formula is used to get the normalized score: `Normalized Score (High) = (1 - (raw score - minimum Score) / (maximum score - minimum score)) * (scale factor maximum - scale factor minimum) + scale factor minimum ` |
[ ]

{#score-normalization__table_b3d_yg3_1gc}Where,

* Raw score = Actual score calculated
* Minimum score = The minimum value of the current scale.
* Maximum score = The maximum value of the current scale.
* Scale factor maximum = The minimum value of the target scale.
* Scale factor minimum = The maximum value of the target scale.
* Scale definition = Specifies the scoring direction: 'high' for higher scores being better or 'low' for lower scores being better.
* Relative Scaling = When enabled the normalized score is calculated relative to the maximum value.
{#score-normalization__ul_ntg_g34_zdc}  
Note:  
This approach is applicable only when the linear normalization strategy is used. The formulas may vary if a different strategy is selected.

