Identify User Experience Issues with AI Assist
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Identify User Experience Issues with AI Assist

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Identify User Experience Issues with AI Assist

Follow these steps to use the AI Assist feature within Strata Cloud Manager for diagnosing and troubleshooting user application experience issues.
Where Can I Use This?What Do I Need?
  • Prisma® Access (Managed by Strata Cloud Manager)
  • NGFW (Managed by Strata Cloud Manager)
  • Strata Cloud Manager Pro Licence
  1. In Strata Cloud Manager, select Activity InsightsUsers, select an impacted user from the User List table, and click AI Assist to open the Strata Copilot sidebar.
  2. Formulate and submit your troubleshooting query. Do one of the following:
    • Enter your question in natural language, for example, "Why is Jonsmith having a degraded experience on figma.com?".
    • Select a pre-suggested prompt, such as "Diagnose why Susan Jobs is having a bad experience on Microsoft Teams.". Select the query and click Modify to update the query before you execute it.
  3. Review and execute the diagnostic plan.
    1. The AI Assist presents a detailed diagnostic plan outlining investigation steps, such as assessing device health, reviewing real-user experience, and performing synthetic tests.
    2. Click the expand button to view the Strata Copilot sidebar in full screen.
    3. To refine your initial prompt before execution, click Modify
    4. To proceed with the analysis, click Execute.
  4. Review intermediate updates in the Strata Copilot sidebar, then review the Executive Report upon completion.
    1. Observe the Strata Copilot sidebar as it displays intermediate updates and findings during the execution phase.
    2. Upon completion, review the Executive Report:
      • Root cause determination - AI Assist correlates findings across all telemetry layers to identify the underlying root cause rather than the most visible symptom.
      • Supporting evidence - Specific data points and metrics that confirm the identified root cause.
      • Blast radius analysis - Whether the issue is isolated to a single user or affects multiple users, helping you prioritize remediation.
      • Timeline and baseline comparison - Trend data showing how the user's experience changed relative to historical baselines.
      • Diagnostic journey summary - AI Assist analyzes the issue and creates a diagnostic plan tailored to the specific user and application context.
      • Recommendations - Immediate and long-term actions to address the root cause.
  5. Based on the Recommendations section of the report, take the suggested steps to address the root cause.