check before: 2025-11-10
Product:
Copilot, Power Platform
Platform:
Online, World tenant
Status:
Change type:
New feature
Links:
Details:
We are announcing the ability to analyze action usage for agents in Microsoft Copilot Studio. This feature allows you to understand usage patterns, identify areas for improvement, and optimize performance for agents. This feature will reach general availability on November 10, 2025.
Change Category:
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Scope:
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Release Phase:
Created:
2025-10-13
updated:
2025-10-13
Task Type
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Docu to Check
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MS How does it affect me
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MS Preperations
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MS Urgency
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MS workload name
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summary for non-techies**
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Direct effects for Operations**
Lack of Preparedness for New Analytics Feature
If the new analytics feature is implemented without proper preparation, users may face confusion regarding the new metrics and how to interpret them, leading to misinformed decisions.
- roles: Data Analysts, Customer Support Agents
- references: https://www.forbes.com/sites/bernardmarr/2021/01/25/the-importance-of-data-analytics-in-business/?sh=5c1c1c1e7b5b
Increased Error Rates Due to Lack of Training
Without adequate training on the new feature, agents may not utilize the analytics effectively, resulting in increased error rates and decreased performance.
- roles: Customer Support Agents, IT Support Staff
- references: https://www.gartner.com/en/information-technology/insights/it-training-and-skills-development
Configutation Options**
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Data Protection**
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explanation for non-techies**
Microsoft Copilot Studio is introducing a new feature that allows you to analyze how actions are being used by agents. Think of it like a fitness tracker for your software agents. Just as a fitness tracker monitors your steps, heart rate, and sleep patterns to help you understand your health and make improvements, this feature monitors how actions are being used by agents to help you understand their performance and find areas for improvement.
With this feature, you can see how often certain actions are used and how often they encounter errors. This is similar to checking your fitness tracker to see how many steps you've taken or how well you slept. By having this information, you can identify patterns and areas where things might not be working as well as they could. For example, if you notice a high error rate in a particular action, it's like noticing that your fitness tracker shows poor sleep quality, prompting you to investigate and make changes.
The feature provides detailed insights into errors, much like how a fitness tracker might alert you to a specific issue with your heart rate during exercise. This allows you to address specific problems effectively, ensuring that your agents are performing optimally. This analysis will be available for various extensions, including connectors, prompts, and REST API plug-ins.
This update is purely informational, and no immediate action is required on your part. If you're interested in learning more about how this feature works and how it can benefit your operations, you can find additional information through the provided link.
** AI generated content. This information must be reviewed before use.
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Last updated 4 weeks ago ago
