An update on Copilot in Viva Glint

Microsoft 365 Copilot in Viva Glint became publicly available for Viva Glint customers in November 2024. This AI feature was developed as Human Resources (HR) users and leaders of large organizations historically spend a lot of valuable time interpreting Glint survey results and comments. Copilot in Viva Glint enables leaders to understand and act on employee feedback by quickly summarizing large quantities of comments.

Five months into this feature being used by our customers - how are we doing? What are our customers' experiences? What can we learn from our customer experiences as we continue to move forward and enhance Copilot in Viva Glint?

To collect feedback from our first set of users, we used the following assessment criteria:

• Is Copilot in Viva Glint simple to understand?
• Is Copilot a seamless, frictionless experience that doesn’t require additional effort?
• Does Copilot provide insights that you trust?
• Does Copilot help drive action?

Overall, we’re thrilled to receive ongoing customer feedback and appreciation for this new feature. This quote from one of our largest enterprise customers says so much, “We could not perform thorough comment analysis before, but [Copilot] has allowed us to study groups we couldn’t before.” In the past, this customer had to manually read thousands upon thousands of comments. Now, they are able to summarize 8,000 comments on a theme of their choice - in just a matter of seconds!

We’re encouraged by what we’ve learned:

• Who’s using it: As expected, HR and senior leaders are diving in first.
• Engagement: 86% of our enabled tenants had active usage within the last five months. We can see that once Copilot is enabled, it’s getting frequent use.
• User satisfaction: We’re thrilled to report users are very satisfied with Copilot in Viva Glint! The Copilot chatbox experience provides comment summarization and helpful question prompts to drill down on specific themes within the summary leading to helpful data and insights. First-time users are awed by the speed and comprehensiveness of the summaries. Fueled by early customer feedback, we have made some positive changes since our initial launch, including expanding the comment summarization limit to 8,000 comments.
• Retention: We see increased month-to-month retention among active Copilot in Viva Glint users. It provides insights that our customers find authentic and useful, and they’re going back to see more.

As we continue to build out Copilot in Viva Glint, this is what we are working toward:

• Copilot to be localized: We want users to be able to ask questions in their preferred language and for Copilot to respond back to them in their preferred language.
• Copilot to summarize all survey results: We know that if Copilot summaries can include survey scores, in addition to comment summarization, use cases for it can increase indefinitely. Each organization would have the ability to filter their data summaries to meet their unique needs.
• Copilot for all managers: We want Copilot to ebb downstream to empower managers of medium to small teams. With results summarization, we can reduce the response threshold for Copilot summary from 10 to 5, giving managers of smaller teams the ability able to dive right in.
• Copilot to encourage action taking: We need to ensure that our feedback insights are useful and then can guide managers to use feedback to improve the employee experience and business outcomes. The Microsoft People Science team and our product teams are committed to this outcome.
• Copilot in Viva Glint to be ‘on’ as the default setting: With Copilot turned on as the default setting, users can be encouraged – or at least curious – to give it a try. We know once they begin to use it, they will love what Copilot can do.

We’re energized to be part of the AI generation. I look forward to our next Copilot in Viva Glint check-in!  

Hao Liu is a Senior Product Manager at Microsoft.  Hao leads the Copilot in Viva Glint product, an innovative tool designed to transform enterprise employee listening programs through generative AI. Hao is a seasoned product leader experienced in driving high-performing cross-functional teams to launch enterprise SaaS products for Fortune 500 companies.