Description:Measure usage and impact of Copilot and agents | Digital Deep Dive: Copilot Control System

Measure Usage and Impact of Copilot and Agents | Digital Deep Dive: Copilot Control System

This topic provides a strategic and technical deep dive into how organizations can track, measure, and optimize the usage and impact of Microsoft 365 Copilot and its agents. As AI becomes embedded in everyday workflows, visibility into how it’s used—and how much value it delivers—is essential for IT administrators, digital transformation leads, and compliance officers.

Learners will explore tools, metrics, and methods to assess adoption, productivity gains, user behavior, and compliance when deploying Copilot at scale.

Key topics covered include:

• Why Measurement Matters

  • Understand the importance of monitoring Copilot adoption and impact to justify ROI, improve user training, and ensure responsible use of AI tools.

  • Identify key performance indicators (KPIs) such as time saved, task automation frequency, and agent usage rates.

• Tools for Monitoring and Reporting

  • Use Microsoft 365 Usage Analytics and Power BI dashboards to track user engagement with Copilot across apps like Word, Excel, Outlook, and Teams.

  • Access and interpret Copilot-specific telemetry—including prompt volume, feature adoption rates, and agent execution patterns.

• Agent-Level Insights

  • Monitor custom Copilot agents built in Copilot Studio or deployed via Microsoft Graph.

  • Track usage by agent, department, and task category to determine which copilots are most valuable and where improvements are needed.

• Compliance, Security, and Risk Visibility

  • Use Microsoft Purview and Microsoft Defender for Cloud Apps to generate audit logs of Copilot activity, including sensitive data access, prompt history, and user interaction records.

  • Detect anomalies or high-risk usage patterns with alerts and risk scoring.

• User Feedback and Sentiment Analysis

  • Collect qualitative feedback from users on Copilot effectiveness through integrated surveys, Microsoft Forms, or Viva Insights.

  • Analyze response quality, trust ratings, and help desk queries to refine AI deployment strategy.

• Optimization Recommendations

  • Identify underutilized features and target user groups with training interventions, awareness campaigns, or onboarding refreshers.

  • Use data-driven insights to guide future Copilot agent development and improve enterprise AI maturity.

By the end of this module, learners will be able to build a comprehensive measurement framework to ensure Copilot and its agents are delivering measurable, secure, and scalable value to the organization. This empowers decision-makers to refine deployment, increase impact, and maintain control.