---
sourceDocument: Australia Strategic Portfolio Management
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/it-business-management

 Release :

    - australia

ft:locale :

    - en-US

ft:publication_title :

    - Australia Strategic Portfolio Management

ft:clusterId :

    - itbm

bundleId :

    - itbm

workflow :

    - Technology


---

# Configure resource profiling score

# Configure resource profiling score {#ariaid-title1}

Release version: Australia  
Updated June 8, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read  
Configure the resource profiling score to adjust how the AI Resource Finder ranks candidates by modifying attribute weights in the CandidateProfileScoringConfigSNC script include.

## Before you begin

Role required: admin

## Procedure

1. Navigate to AllSystem DefinitionScript Includes.
2. Locate and open the CandidateProfileScoringConfigSNC script include record.
3. **Optional:** To edit the record change the scope of the application to SPM Planning Attributes.
4. Use the Script field to view and understand the current allocation logic using the `getWeights` function.  
   Following is the default code.

       var CandidateProfileScoringConfigCustom = Class.create();
           CandidateProfileScoringConfigCustom.prototype = Object.extendsObject(
               CandidateProfileScoringConfigSNC, {

               getWeights: function() {
                   return {
                       availabilityCoverage: 0.40,
                       attrExpScore:         0.20,
                       prjExpScore:          0.20,
                       adjacentAttrExp:      0.15,
                       generalExp:           0.05
                   };
               },

               type: 'CandidateProfileScoringConfigCustom'
           });

   {#config-resource-profiling-score-rmw__table_azn_3p2_njc__entry__2}

   | Attributes | Definition |
   |-|-|
   | availabilityCoverage | Scoring attribute indicating resource's as capacity during the assignment period. This is the dominant factor. A resource with perfect skills but no availability scores lower than a less experienced resource who is free when needed. |
   | attrExpScore | Whether the resource has worked with the same planning attributes (such as role or skills group) that the assignment requires. |
   | prjExpScore | Scoring indicating if resource has worked on similar projects before. |
   | adjacentAttrExp | Whether the resource has experience with related planning attributes, but not identical ones. For example, a Developer considered for a Senior Developer assignment. |
   | generalExp | The resource's overall organizational tenure and breadth of work history. |
   [Table 1. Weights function attributes]

   {#config-resource-profiling-score-rmw__table_azn_3p2_njc}
5. Edit the allocation of the existing attributes to match with your organization requirements.
6. Verify that the five values add up to 1.0, indicating 100%.
7. Select Submit.

## Result

The AI Resource Finder uses the custom weights for subsequent fit score calculations. Resources are re-ranked according to the new weight distribution the next time a user opens the Resource Finder modal.

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