--- sourceDocument: Australia Enable AI sourceDocumentLink: https://www.servicenow.com/docs/r/australia/intelligent-experiences Release : - australia ft:locale : - en-US ft:publication_title : - Australia Enable AI ft:clusterId : - platai bundleId : - platai workflow : - Platform --- # Creator skills dashboard # ServiceNow AI Creator skills dashboard {#ariaid-title1} Release version: Australia Updated August 3, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 3 minutes to read Summarize ![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) Summarized using AI This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete. ## Summary of ServiceNow AI Creator Skills Dashboard The ServiceNow AI Creator skills dashboard offers comprehensive insights into how AI-powered creator skills---such as automated code generation, documentation, and testing---are utilized within your organization. These AI capabilities help boost developer productivity by automating repetitive and knowledge-intensive development tasks, enabling faster development velocity, reducing manual effort, and ensuring consistency across projects. Show full answer Show less Creator skills leverage large language models with ServiceNow-specific training and operate under ServiceNow's AI governance framework. User interactions with AI-generated suggestions (accept, reject, cancel, ignore) provide feedback that improves skill effectiveness and generates adoption metrics. You can access the dashboard through the AI Control Tower under the path: *All \> AI Control Tower \> Home \> Insights \> ServiceNow AI \> Creator skills*. ## Key Features * **Skill Satisfaction:** Measures the approval rate of AI-generated suggestions by tracking the ratio of accepted to total suggestions. This helps monitor the quality and relevance of creator skills over time. * **Creator Skills Performance:** Displays detailed statistics including total calls, accepted, cancelled, rejected, empty suggestions, and satisfaction scores for each skill. Time periods can be customized to analyze trends. * **Top 5 Most Used Creator Skills:** Ranks skills by total assists, highlighting those with strong adoption and high satisfaction, which are ideal for broader promotion and targeted training. * **Instance with Highest Skill Usage:** Identifies the ServiceNow instance generating the most creator skill assists, enabling sharing of best practices from high-performing environments. * **Designation with Highest Creator Calls:** Tracks usage by user roles, helping tailor training and enablement efforts to designations with lower adoption and highlighting where AI assistance adds the most value. * **Creator Call Outcomes:** Breaks down suggestions into accepted, rejected, cancelled, or empty categories. Monitoring these outcomes assists in identifying quality issues and user satisfaction trends. * **Creator Calls Breakdown:** Visualizes outcome distribution by skill, designation, code development, or instance, facilitating comparisons of skill reliability and prioritization of improvements or training. ## Key Outcomes * Improved developer productivity through automation of routine coding and documentation tasks. * Enhanced visibility into adoption patterns and skill performance to guide optimization efforts. * Data-driven insights enable targeted training and enablement for roles and teams benefiting most from AI assistance. * Identification of high-performing skills and instances supports the sharing of best practices across the organization. * Continuous feedback from user interactions helps refine and improve AI skill accuracy and relevance. The ServiceNow AI Creator skills dashboard provides insight into how your organization uses AI-powered creator skills---automated code generation, documentation, and testing capabilities---to boost developer productivity. Monitor skill satisfaction, usage patterns, and outcomes to optimize adoption and identify high-performing skills across your instance. ## Creator skills dashboard overview {#md-servicenow-ai-creator-skills__creator_skills-overview} Creator skills are AI-powered agents within ServiceNow that assist users by automating repetitive development tasks. These skills use large language models and ServiceNow specific training to generate code, compose unit tests, write API documentation, and perform other knowledge-intensive tasks. By integrating creator skills into your workflow, your team can accelerate development velocity, reduce manual effort, and maintain consistency across projects. Creator skills operate within generative AI and are governed by ServiceNow's AI governance and control framework. Each suggestion is tracked, and users can accept, reject, cancel, or ignore recommendations. This feedback loop helps improve skill performance and informs adoption metrics. To view the ServiceNow AI Creator skills dashboard on AI Control Tower, navigate to AllAI Control TowerHomeInsightsServiceNow AICreator skills. ## Skill Satisfaction {#md-servicenow-ai-creator-skills__skill_satisfaction} Skill satisfaction measures the overall approval rate of creator skill suggestions based on user usage and approvals. This metric reflects the ratio of accepted suggestions to total suggestions across all creator skills in your instance. A satisfaction score indicates that users accepted or approved all AI-generated suggestions. Compare this metric over time to track improvements in suggestion quality and relevance. You can view the creator skills performance for the available skills and set the time period selecting the external link icon. On the Creator skills performance page, you can see the total number of calls, calls accepted, cancelled, rejected, calls that were empty, and the satisfaction score. To change the time period, select the calendar drop-down, choose the time period, and select Apply. ## Top 5 most used creator Skills {#md-servicenow-ai-creator-skills__top_creator_skills} This section ranks creator skills by total assists delivered over the selected time period. High usage indicates strong adoption and integration into developer workflows. Each skill displays both absolute assist count and satisfaction percentage. Skills with high usage and high satisfaction are strong candidates for broader promotion and training programs. ## Instance with highest skill Usage {#md-servicenow-ai-creator-skills__instance_highest_skill_usage} This metric identifies which instance in your ServiceNow environment has generated the most creator skill assists. High usage may indicate: Use this insight to understand which instances are leading adoption and to share best practices from high-usage instances with others in your organization. ## Designation with highest creator calls {#md-servicenow-ai-creator-skills__designation_highest_calls} This metric shows which user roles or designations use creator skills most frequently. Tracking creator skill usage by designation helps identify which personas and job roles benefit most from AI-powered assistance. Use this information to tailor training and enablement programs to designations with lower adoption, and to understand where creator skills deliver most value. ## Creator call outcomes {#md-servicenow-ai-creator-skills__creator_call_outcomes} This section breaks down all creator skill suggestions into four outcome categories: * Accepted: User accepted the suggestion and used it in their work. * Rejected: User explicitly rejected the suggestion or indicated it was not useful. * Cancelled: User cancelled or abandoned the creator skill session before completing the suggestion. * Empty: No usable suggestion was generated (null or incomplete response). {#md-servicenow-ai-creator-skills__ul_p2f_4kw_ckc} The total count of creator calls represents the cumulative demand for AI assistance across your instance. Monitor outcome ratios to identify quality issues, user satisfaction trends, and skill performance over time. ## Creator calls breakdown {#md-servicenow-ai-creator-skills__creator_calls_breakdown} This visualization shows the distribution of outcomes (accepted, rejected, cancelled, empty) for each creator skill. Use this breakdown to: * Identify which skills have the highest acceptance rates * Detect skills with high cancellation rates, which may indicate usability or performance issues * Compare skill quality and reliability * Prioritize skills for enhancement or training {#md-servicenow-ai-creator-skills__ul_q2f_4kw_ckc} Skills with consistently high acceptance and low rejection rates are performing well and are good candidates for expanded adoption. Skills with high rejection or empty response rates may require tuning, additional training data, or user education. Note: You can view the creator calls breakdown by the following metrics: * By skill * By title/designation * By code development * By instance name {#md-servicenow-ai-creator-skills__ul_yzr_nsw_ckc} *[\>]: and then