503571 – Microsoft Copilot (Microsoft 365): Support for refining query filters for Confluence Copilot connectors

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check before: 2026-05-01

Product:

Copilot

Platform:

Web, World tenant

Status:

In development

Change type:

Links:

Details:

This feature enhances and standardizes query filtering across both Confluence Cloud and Confluence On-premises connectors. For Confluence Cloud connector, it introduces simplified options to filter pages by page id, creation date/time and last update date/time, helping improve productivity and reduce human errors. For Confluence On-premises connector, it adds support for advanced CQL-based filtering, enabling more complex and flexible filtering scenarios.

Change Category:
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Scope:
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Release Phase:
General Availability

Created:
2025-12-18

updated:
2026-01-22

Public Preview Start Date

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Docu to Check

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MS workload name

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summary for non-techies**

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Direct effects for Operations**

Query Filtering Changes
The introduction of new query filtering options may lead to confusion among users who are accustomed to the previous filtering methods, potentially resulting in errors or inefficiencies in retrieving information.
   - roles: End Users, Content Managers
   - references: https://www.atlassian.com/software/confluence, https://www.microsoft.com/en-us/microsoft-365/blog/2023/10/01/introducing-microsoft-copilot-for-confluence/

Increased Complexity in Filtering
The addition of advanced CQL-based filtering for Confluence On-premises may overwhelm users who are not familiar with CQL, leading to a steep learning curve and possible misconfigurations.
   - roles: IT Administrators, End Users
   - references: https://confluence.atlassian.com/doc/confluence-query-language-cql-720416202.html, https://www.microsoft.com/en-us/microsoft-365/blog/2023/10/01/introducing-microsoft-copilot-for-confluence/

Configutation Options**

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explanation for non-techies**

Imagine you're organizing a massive library with books scattered everywhere. Some books are on shelves, others are on tables, and a few are even on the floor. Now, if you want to find a specific book quickly, you need a system to filter through all these books efficiently. This is similar to what Microsoft Copilot is doing with its new feature for Confluence connectors.

For those using Confluence Cloud, think of it as having a simple card catalog system. You can quickly find books by looking up their ID, the date they were added to the library, or the last time they were checked out. This helps you locate the book you need without sifting through piles of irrelevant ones, making your search faster and reducing the chance of mistakes.

For Confluence On-premises users, it's like having a more advanced digital search system. This system not only lets you search by basic details but also allows you to use complex queries to find books based on a combination of criteria. It's like being able to search for all mystery novels published after 2000 that have won awards. This flexibility allows you to tailor your search to your specific needs, making it a powerful tool for finding exactly what you're looking for.

These enhancements to Microsoft Copilot's Confluence connectors are designed to streamline the process of finding information, much like how a well-organized library makes it easier to find the right book. By standardizing and improving query filtering, users can save time and reduce errors, leading to increased productivity.

** AI generated content. This information must be reviewed before use.

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change history

DatePropertyoldnew
2026-01-22RM PreviewFebruary CY2026March CY2026
2026-01-16RM DescriptionSupport for refining query filters for Confluence Copilot connectors.This feature enhances and standardizes query filtering across both Confluence Cloud and Confluence On-premises connectors. For Confluence Cloud connector, it introduces simplified options to filter pages by page id, creation date/time and last update date/time, helping improve productivity and reduce human errors. For Confluence On-premises connector, it adds support for advanced CQL-based filtering, enabling more complex and flexible filtering scenarios.

Last updated 4 weeks ago ago

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