How do I monitor AI agent performance and analytics?

Last updated: November 5, 2026

AI agent analytics help you understand how an agent performs across calls and conversations. Use performance monitoring to review volume, outcomes, quality, and areas where the agent needs improvement.

Before you start

  • Make sure the agent has handled enough interactions to review meaningful patterns.

  • Decide which performance signals matter for your workflow, such as completion rate, call outcomes, sentiment, or extracted data.

Steps

  1. Open the AI agent you want to review.

  2. Open the performance, analytics, or reporting area for the agent.

  3. Review overall activity volume and recent interactions.

  4. Check call or conversation details for transcripts, summaries, sentiment, and outcomes.

  5. Review extracted data fields if data parsing is configured.

  6. Look for repeated failure patterns, missing information, or handoff issues.

  7. Update instructions, tools, knowledge bases, or voice settings based on the patterns you find.

  8. Continue monitoring after changes to confirm performance improves.

Tips

  • Review both aggregate trends and individual call examples.

  • Use transcripts to confirm whether instructions are followed.

  • Check extracted data accuracy if downstream reporting depends on it.

  • Review agent performance after major instruction or voice setting changes.

Troubleshooting

  • Analytics look incomplete: Confirm the agent has handled recent interactions.

  • Outcomes are unclear: Review transcripts and extracted data fields.

  • Performance dropped after an edit: Check version history and compare recent changes.

  • Data fields are inaccurate: Refine data parsing descriptions and examples.