--- 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 --- # Performance Explorer dashboard (Lux UI) # Performance Explorer dashboard in AI Admin Center (Lux UI) {#ariaid-title1} Release version: Australia Updated October 5, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 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 Performance Explorer dashboard in AI Admin Center (Lux UI) The Performance Explorer dashboard in the AI Admin Center (Lux UI) offers ServiceNow customers a detailed view into the execution data of AI assistants, agents, and skills across their organization. This feature enables users to monitor and analyze AI asset performance, identify usage patterns, and track key metrics related to AI interactions. The dashboard is part of the Lux user experience, which coexists with the Next Experience UI in version 6.1 but is positioned as the future-supported interface for AI Admin Center. Show full answer Show less ## Key Features * **Performance Explorer Dashboard Structure:** The dashboard is divided into three sub-tabs---Skills, Assistants, and Agents---each presenting execution-level details for the respective AI asset type. * **Skills Tab:** Displays a list of generative AI skill executions with filters for Date, Type, and Product, plus a search function. Key metrics include skill name, invocation count, assist credit consumption, positive and negative feedback counts, and unique user count. * **Assistants Tab:** Lists assistant executions filtered by Date. Metrics tracked include assistant name (with drill-down to full execution records), total conversations, AI-assisted actions, average distinct users, deflection rate, overall conversation customer satisfaction (CSAT), and total assist credit usage. * **Agents Tab:** Shows AI agent executions with filters for Date, Type, Source, Agent Type, and Agent Name. It highlights agent name, agent type (agent or agentic workflow), total executions, assist credit consumption, tasks closed, and average CSAT based on interaction signals. * **Filtering and Search:** Each tab provides comprehensive filtering options to narrow down execution records and the ability to reset filters for convenience. ## Key Outcomes * ServiceNow customers can effectively monitor AI asset usage and performance, helping to optimize AI deployments and improve user experiences. * The dashboard supports detailed analysis of AI skill, assistant, and agent executions, enabling identification of successful interactions and areas needing improvement. * With metrics like assist credit consumption and customer satisfaction scores, organizations can measure the impact and efficiency of their AI solutions in real time. * Access to granular execution records facilitates troubleshooting, performance tuning, and informed decision-making regarding AI asset management. Use the Performance Explorer dashboard on the Analytics page to review and analyze the execution details of assistants and AI agents across your organization. Important: Lux is the new user experience for AI Admin Center. For more information on the Lux experience, see [AI Admin Center user experience (Lux UI)](https://www.servicenow.com/docs/lHQ~QQAqCp2om57kHgokVA#ai-admin-center-lux-user-experience "Use the AI Admin Center experience to set up, monitor, and manage your AI solutions."). The Next Experience AI Admin Center workspace is being prepared for future deprecation and will no longer be supported. For more information on the Next Experience UI, see [AI Admin Center workspace (Next Experience UI)](https://www.servicenow.com/docs/d7aSXEU_I2o5wKQYcOqhqA#now-assist-center-workspace "Use the AI Admin Center workspace to set up, monitor, and manage your AI solutions."). In AI Admin Center version 6.1, the Next Experience and Lux user interfaces are both available. Note: This topic describes the AI Admin Center feature based on the Lux user interface (UI). If you're using the Next Experience UI for AI Admin Center, see the Next Experience UI version of this topic. ## AI Admin Center Performance Explorer dashboard {#ai-admin-center-lux-performance-explorer-dashboard__section_lux_pe_overview} The Performance Explorer dashboard displays execution-level details for AI agents, skills, and assistants. Use the dashboard to investigate individual executions, analyze performance metrics, and identify patterns across your AI asset deployments. The Performance Explorer dashboard includes the following sub-tabs: Skills, Assistants, and Agents. Each sub-tab displays a table of individual executions for the selected asset type. ## Skills {#ai-admin-center-lux-performance-explorer-dashboard__section_ivf_clq_5kc} The Skills tab displays a list of individual generative AI skill executions. Use the Date, Type, and Product filters, or the Search name field, to narrow results. Select Reset Filters to clear all applied filters. Figure 1. Skills tab of the Performance Explorer dashboard Skill Name : The name of the AI skill that was executed. Invocation Count : The number of invocations made to the skill. Assist Count : The number of assist credits consumed by the skill during the execution. Positive Feedback : The total number of positive feedback records received for the skill execution. Negative Feedback : The total number of negative feedback records received for the skill execution. Unique User Count : The number of unique users during the execution. ## Assistants {#ai-admin-center-lux-performance-explorer-dashboard__section_lux_pe_assistants} The Assistants tab displays a list of individual assistant executions. Use the Date filter to narrow results. Figure 2. Assistants tab of the Performance Explorer dashboard Assistant Name : The name of the assistant that was executed. Select the assistant name to view the full execution record. Total conversations : The total number of conversations where the assistant was executed. Cumulative AI-Assisted Actions : The number of all AI-assisted actions performed by the assistant during the execution. Average Distinct Users : The average number of distinct users during the execution. Deflection Rate : The rate of deflection success for the execution. Overall Average Conversation CSAT : The average customer satisfaction score for the conversation, calculated based on conversation signals. Total Assist Usage : The number of assist credits consumed by the assistant during the execution. ## Agents {#ai-admin-center-lux-performance-explorer-dashboard__section_lux_pe_agents} The Agents tab displays a list of individual AI agent executions. Use the Date, Type, Source, and Agent Type filters, or the Agent Name field, to narrow results. Select Reset filter to clear all applied filters. Figure 3. Agents tab of the Performance Explorer dashboard Agent Name : The name of the AI agent that was executed. Type : The type of agentic AI asset, agent or agentic workflow. Executions : The total number of executions made by the agentic AI asset. Assist consumption : The number of assist credits consumed by the agentic AI asset during the execution. Tasks closed : The number of tasks closed resulting from the execution. Avg CSAT : The average customer satisfaction score for the execution, calculated based on interaction signals.