Note
Access to this page requires authorization. You can try signing in or changing directories.
Access to this page requires authorization. You can try changing directories.
Improving your Copilot Studio projects is essential for delivering high-quality, high-impact agent experiences. Once your agent is live, continuous measurement and refinement help you understand how users interact with it, where it succeeds, and where it needs improvement.
This improvement guide covers key practices for evaluating and enhancing your Copilot Studio agents. You learn how to assess real-world usage, define meaningful outcomes, build a tailored analytics strategy, and apply data-driven optimizations that strengthen every interaction.
Use the following articles to improve your Copilot Studio projects:
- Measure and improve agent performance with key performance indicators (KPIs) and analytics: Use Copilot Studio analytics to track engagement, outcomes, and user feedback. Optimize agent performance and guide continuous improvement.
- Use evaluation-driven triage and remediation: Implement a structured approach to triage and remediate agent issues, ensuring your AI meets business, quality, and safety expectations.
- Develop a custom analytics strategy: Create a measurement approach tailored to your organization's goals, combining built-in analytics with custom telemetry and insight pipelines.
- Review the improve checklist: Use these questions during regular reviews, such as sprint ceremonies, monthly optimizations, or pre-release readiness.