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Q:

How do we roll back Meet changes if editors or macros stop working?

  • rishika 6C
  • Oct 03, 2025

1 Answers

A:

To roll back Meet changes, use the Admin Console to disable recent feature updates, restore previous versions of any related Apps Scripts via the Script Editor’s project history, and revert linked Docs or Slides using Version History. Also, check and reset editor permissions as needed.

  • gyan swaroop
  • Oct 07, 2025

0 0

Related Question and Answers

A:

To restrict Google Meet features to a pilot group, you need to use Google Workspace's built-in controls for user and group management. Unlike custom software development that uses feature flag services like Azure App Configuration or Firebase Remote Config, Google's platform-as-a-service model requires you to leverage its native administrative controls for a managed and secure rollout.

  • Adarsh Soni
  • Oct 08, 2025

A:

To restrict Google Meet features to a pilot group, you need to use Google Workspace's built-in controls for user and group management. Unlike custom software development that uses feature flag services like Azure App Configuration or Firebase Remote Config, Google's platform-as-a-service model requires you to leverage its native administrative controls for a managed and secure rollout.

  • Netrapal Singh
  • Oct 04, 2025

A:

The KPIs that show whether Meet enhancements are improving document quality and time-to-finish are:

  • Document completion time.
  • Number of revisions.
  • Task completion latency.
  • User adoption of Meet features (like AI notes).
  • Content quality ratings.
  • Heram
  • Oct 06, 2025

A:

Legal and compliance teams can use Google Vault to eDiscover Meet content stored in shared drives, such as recordings and chat logs, by applying holds and retention rules to Drive data and searching within Vault.

  • Salman
  • Oct 05, 2025

A:

Governance controls comprise Admin Console settings to restrict Meet AI features by administrative unit, adaptive access control, and trust rules to limit external sharing. Use DLP policies and data regions to ensure AI data stays within verified domains and complies with regulatory requirements.

  • Akhilesh Pandey
  • Oct 06, 2025

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