Skill Recommendation components in Workforce Optimization for ITSM

  • Release version: Australia
  • Updated March 12, 2026
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    Summary of Skill Recommendation components in Workforce Optimization for ITSM

    Workforce Optimization for ITSM leverages roles, tables, properties, and scheduled jobs to facilitate skill recommendations for IT service management. This functionality enhances agents' ability to resolve incidents by predicting necessary skills based on historical data.

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    Key Features

    • Roles:
      • Skill Recommendation User: Allows viewing of skill recommendation tables.
      • Skill Recommendation Admin: Provides rights to edit skill recommendation properties.
    • Properties: Configurable settings found under Skill Recommendation > Configuration that govern the behavior of skill recommendations, including enabling/disabling recommendations and setting thresholds for predictions.
    • Scheduled Job: Automates the skill prediction process, running daily to analyze closed incidents and recommend relevant skills for open incidents.
    • Data Tables:
      • User Predicted Skill: Tracks how often skills are predicted for users, with a retention policy for outdated predictions.
      • Task Predicted Skill: Records predicted skills for various incident types, with old entries automatically purged.

    Key Outcomes

    By utilizing the skill recommendation features, ServiceNow customers can enhance incident resolution efficiency. Agents receive tailored skill recommendations based on supervised and unsupervised learning, which improves their performance and reduces resolution times. The automation of skill prediction ensures that agents are always equipped with relevant skills, ultimately leading to improved service delivery and customer satisfaction.

    Workforce Optimization for ITSM uses roles to administer skill recommendation, tables to store skill data, and properties to modify default behavior, and scheduled job to recommend skills in configurable Workforce Optimization for ITSM.

    Roles

    Role title [name] Description Contains roles
    Skill Recommendation User [sn_sre.user] Grants rights to view skill recommendation tables. wfo.user
    Skill Recommendation Admin [sn_sre.admin] Grants administrative rights to edit the properties for skill recommendation.
    • wfo.admin
    • sn_sre.user

    Properties

    Navigate to Skill Recommendation > Configuration to configure these properties.

    Property Description

    Enable skill recommendation.

    sn_sre.enable_skill_recommendation
    Enable this property to start recommending skills for agents.
    • Type:true | false
    • Default value:true

    Maximum number of skills to predict based on supervised learning.

    sn_sre.max_supervised_skills
    Using supervised learning, the maximum number of skills to predict for each incident ordered by confidence of prediction.
    • Type:Integer
    • Default value:3

    Maximum number of skills to predict based on supervised learning.

    sn_sre.max_unsupervised_skills
    Using unsupervised learning, the maximum number of skills to predict for each incident ordered by confidence of prediction.
    • Type:Integer
    • Default value:3

    Number of resolved similar tasks to use for predicting skills.

    sn_sre.number_of_similar_incidents
    The number of resolved similar incidents to use to predict skills using supervised learning, ordered by confidence of prediction, to resolve similar types of incidents.
    • Type:Integer
    • Default value:15

    Number of times Predictive Intelligence must predict the same skill for an agent before recommending it for the agent.

    sn_sre.user_predicted_skill_threshold
    The number of times Predictive Intelligence must predict the same skill for an agent before recommending the skill for the agent.
    • Type:Integer
    • Default value:20

    Similarity solution definition to recommend skills from similar incidents.

    sn_sre.unsupervised_solution_definition_for_incidents
    Name of the Predictive Intelligence solution definition used for predicting skills to resolve incidents using unsupervised learning. If you have created your own solution definition, you can replace the default one with the one you have created.
    • Type:String
    • Default value:ml_sn_sn_sre_global_recommend_similar_skills_for_incidents

    Similarity solution definition to recommend skills for incidents.

    sn_sre.supervised_solution_definition_for_incidents
    Name of the Predictive Intelligence solution definition used for predicting skills to resolve incidents using supervised learning. If you have created your own solution definition, you can replace the default one with the one you have created.
    • Type:String
    • Default value:ml_sn_sn_sre_global_recommend_skills_from_similar_incidents

    Scheduled job

    Scheduled job Description
    Start skill prediction Runs the job every day at 1 AM on all incidents that were closed the previous day. Recommends the skills used to close the incidents to resolve similar open incidents.

    Tables

    Table Description
    User Predicted Skill [sn_sre_user_predicted_skill]
    • Stores how many times a skill has been predicted for the user.
    • Skills not recommended in the last 60 days are automatically deleted from this table.
    Task Predicted Skill [sn_sre_task_predicted_skill]
    • Stores the skills predicted to resolve each type of incident.
    • Tables created over 60 days ago are automatically deleted from this table.