MC1036565 – (Updated) Microsoft Viva: Viva Learning – Semantic search support for in-app Searches (archived)

Product:

Copilot, Microsoft Graph, Microsoft Search, Microsoft Viva, Microsoft Viva Learning, SharePoint, Teams

Platform:

Developer, Online, Web, Windows Desktop, World tenant

Status:

Launched

Change type:

New feature, User impact, Admin impact

Links:

479749

Details:

Summary:
Microsoft Viva Learning is transitioning to an intent-based search, enhancing search results by understanding user intent. The rollout will occur from mid to late March 2025. This update impacts various Viva Learning features and requires content curators to enrich content attributes for better search accuracy. More details are available in Microsoft 365 Roadmap ID 479749.

Details:
Updated March 28, 2025: We have updated the rollout timeline below. Thank you for your patience.
Viva Learning Search is transitioning to an "intent-based" search from the current "keyword-based" search. As a part of "intent-based" search, Viva Learning will understand the core intent of the user query and show learning results based on user's intent. Users can interact with Viva Learning Search in their natural language and get relevant content much easier. Intent-based search personalizes the Search experience for the user.
This message is associated with Microsoft 365 Roadmap ID 479749
[When this will happen:]
General Availability (Worldwide): We will begin rolling out on mid-March 2025 and expect to complete by late March 2025.

Change Category:
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Scope:
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Release Phase:
General Availability, Preview

Created:
2025-03-20

updated:
2025-03-29

Public Preview Start Date

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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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linked item details

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summary for non-techies**

Microsoft Viva Learning is transitioning to an intent-based search system using AI to interpret user queries in natural language, enhancing search accuracy and efficiency, with a global rollout planned for March 2025.

Direct effects for Operations**

Transition to Intent-Based Search
The shift from keyword-based to intent-based search may lead to confusion among users who are accustomed to the previous search method, resulting in potential delays in finding relevant content.
   - roles: Content Curators, End Users
   - references: https://learn.microsoft.com/viva/learning/content-sources-365-admin-center, https://www.microsoft.com/microsoft-365/roadmap?rtc=1%26filters%3D&searchterms=479749

Increased Need for Content Enrichment
Content curators will need to enrich content attributes to ensure the semantic search engine functions effectively, which may lead to a temporary decrease in content availability if not prepared in advance.
   - roles: Content Curators, Learning Administrators
   - references: https://learn.microsoft.com/viva/learning/content-sources-365-admin-center, https://learn.microsoft.com/graph/api/resources/viva-learning-api-overview?view=graph-rest-1.0

Potential Search Result Inconsistencies
As the semantic search relies on existing permissions and content attributes, users may experience inconsistencies in search results if permissions are not properly configured beforehand.
   - roles: IT Administrators, End Users
   - references: https://learn.microsoft.com/legal/search/transparency-note?context=%2Fazure%2Fsearch%2Fcontext%2Fcontext&tabs=enrichment, https://learn.microsoft.com/viva/learning/viva-learning-supported-languages

Configutation Options**

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Opportunities**

Enhanced User Experience through Intent-Based Search
The transition to intent-based search will significantly improve the user experience by providing more relevant and personalized search results. Users will be able to find learning materials more easily, enhancing engagement and productivity.
   - next-steps: Conduct training sessions for users to familiarize them with the new search capabilities and encourage content curators to enrich content attributes to maximize the benefits of the new search functionality.
   - roles: Learning and Development Managers, HR Managers, End Users
   - references: https://learn.microsoft.com/azure/search/, https://learn.microsoft.com/viva/learning/content-sources-365-admin-center " target="_blank" rel="nofollow noopener noreferrer">https://learn.microsoft.com/viva/learning/content-sources-365-admin-center

Improved Content Curation Process
The requirement for content curators to enrich content attributes will lead to a more structured and organized content library. This will not only enhance search accuracy but also improve the overall quality of learning resources available to users.
   - next-steps: Implement a standardized process for content curation that includes guidelines on enriching content attributes, and provide training for curators on best practices for content management.
   - roles: Content Curators, IT Administrators, Learning and Development Managers
   - references: https://learn.microsoft.com/viva/learning/content-sources-365-admin-center, https://learn.microsoft.com/graph/api/resources/viva-learning-api-overview?view=graph-rest-1.0

Streamlined IT Administrative Tasks
With the semantic search capabilities, IT administrators can automate certain tasks related to content management and user support, reducing manual intervention and increasing efficiency in managing learning resources.
   - next-steps: Evaluate existing administrative processes to identify areas that can be automated or streamlined with the new search capabilities, and invest in tools or training that facilitate these improvements.
   - roles: IT Administrators, Learning and Development Managers, Operations Managers
   - references: https://learn.microsoft.com/legal/search/transparency-note?context=%2Fazure%2Fsearch%2Fcontext%2Fcontext&tabs=enrichment, https://www.microsoft.com/microsoft-365/roadmap?rtc=1%26filters%3D&searchterms=479749

Potentional Risks**

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IT Security**

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explanation for non-techies**

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