- Microsoft viva Glint is now coming to all organizations very, very soon, in July 2023. It is now becoming a part of the Viva family, not just in lighter and looser integration with Viva Insights. That capability set will be embedded in the flow of our Viva work.
- Glint can take those direct signals and we can complement them with indirect signals. Having these more integrated within the Viva portfolio stack means that there'll be more ways in which we can collate that information. I think it's a very complementary model that's going to accelerate a lot of HR innovation.
- Copilot is going to have a significant impact on Glint's future. Another reason it's very useful is for AI sentiment analysis. If you think of Glint as part of your new Viva strategy, I think you're all going to be better off.
Microsoft viva Glint is now coming to all organizations very, very soon, in July 2023. And this particular experience means that Glint is now becoming a part of the Viva family, not just in lighter and looser integration with Viva Insights, which it has today, or with subsets of experiences like how it complements Viva Pulse, but it's actually coming into the core experiences. And that means that when you use it to collect feedback, interpret the results, have a conversation, guided conversations, commit to actions, and then use that through focus areas, reporting and more, this is all stuff that Glint does today.
That capability set will be embedded in the flow of our Viva work. And the best part of all of this is that for those who are using the Viva Suite, if you use two or three Viva workloads, it's pretty much a no brainer to buy the Viva suite. When you have the Viva suite, you get access to Glint at no additional charge.
So it's a really great opportunity for a lot of customers who haven't embraced Glint, who have other alternative investments where they can now be displaced and more integrated in the flow of their work. And again, for many who have never explored something like Lint, it's a great opportunity to understand it a little bit more. So today I thought I would talk about two things.
The first one is, why is this exciting and why should you care even if you don't really know what Glint is and you're not an employee engagement or an HR person? The second thing I want to talk about today is, what does this mean for a future state? Like, what are some of the enhancements that are coming to Glint? So let's talk about the first one. Why does this matter for many people? Well, one of the things that Glint's really good at is it's really good at direct signals. So when you collect comments and feedback from people, that information is extremely useful, not just to improve employee engagement, but to understand people and how they feel within the organization.
And it's very, very useful signal data for leaders and managers and other people throughout the organization. And so one of the advantages of Glint is that we can take those direct signals and we can complement them with indirect signals. So think of indirect signals like what comes from digital behavior data in things like insights, how many people are working after hours, in long meetings that are unscheduled, and so on and so forth.
So we can get really quite granular bits of insights, and we can look at that on a population group, contrast that with employee engagement data around comments and feedback, and we can get even richer, more holistic perspectives because of that. So that's point number one, and it's a great opportunity. But the other one is that I think a lot of people underestimate the value of new capabilities like Viva engage analytics and others where there is sentiment analysis and wonderful enriched analytics for how people react to storylines or how people react to content within communities.
And that content can also be a really nice indirect signal or indirect piece of feedback that can complement the direct feedback that you get in something like Lint. So having these more integrated within the Viva portfolio stack means that there'll be more ways in which we can collate that information. And one of the ways in which we can make that possible is via Copilot.
And the other big reason that this is an important milestone moment is because Copilot can make that information, because you often get in large organizations we work with, they get tens of thousands or huge numbers of comments right in their feedback. And it's a lot of processing time. It's very challenging for an extremely resource strapped HR team to make sense of these and then to guide the actioning of that feedback.
It's very, very difficult. And Copilot really makes that more accessible. So as we transition from .1
of the value of why it's so better, because it's integrated, this idea of having this AI enrichment layer where it can understand and make sense of this means that your HR teams can. Be freed up a little bit more, which allows them to potentially take on more of these employee experience transformation opportunities in the rest of the Viva stack. So I think it's a very complementary model that's going to accelerate a lot of HR innovation as well as organizational success rates in improving employee experience.
All right, so that's point number one. Let's talk about point number two. So what is this thing for most people, and what's changing about it? So, as I kind of hinted at there, copilot is going to have a significant impact on Glint's future because in a lot of ways, what we're trying to do is we're trying to take those insights and we're trying to contextualize them and we're trying to understand them.
So being able to do that in a very natural way with natural language in Copilot is very useful on breaking down those responses, those insights, that sort of thing. Another reason it's very useful is for AI sentiment analysis. So when you look at those mechanisms, a lot of times the reason we might trigger maybe an earlier or more frequent rhythm for employee engagement is because we know we're going through disruption.
Of course, every organization is going through disruption with AI, copilot notwithstanding. But most organizations are going through disruption also through mergers and acquisitions, through industry shifts, other things that are happening as well. And during those disruptive periods.
Hybrid work was a great example of this, right, with the pandemic and the return to hybrid work, with the emphasis on remote work. So each of those things are business transformation journeys. And when you're going through those business transformation journeys, the more data you have over dogma typically the better off you are.
So while you might invest in tools, likely having it be able to do AI sentiment analysis at scale, or having it able to do summarization, that's a really powerful tool. When we think about these comments and these feedbacks, means that not only can you potentially do something you might not have ever gotten time to do before, but you can start to do it at a more frequent rhythm. And you can do it in a way where it allows you to more quickly get to an action state.
So one of the big benefits of this summarization and analysis is when we tested this, what happens is what would normally have taken maybe a week or two, because you're putting it all together in Excel or Power Bi or whatever your tools are, or you're using maximizing the capabilities of Glint, really pushing the boundaries there. In each of those instances, you still have to make sense of this. Right.
And that takes, like I said, weeks, sometimes sometimes months, depending on how large the data set is before you really start to really action it. And I think that the customers that we're working with now for these types of AI toolings, they're getting significant acceleration there where it's taking instead of weeks, days, sometimes even hours to get enough insights to actually start to action it. And that means that your organization can be more agile.
That means you can provide key feedback earlier. That means you can trigger that we should have this conversation that's guided earlier. Right? All of those things, I think, are only advantages in this particular model.
So I'm very excited about how Glint is going to evolve. I really love the complementary nature of insights and pulse and how they work really well with Glint. I think more people need to understand and embrace Viva engage.
I've been surprised at how many organizations it's one of the easiest Viva workloads. You just run AMA events and do these different things, and you'll create so much more engagement run, support storylines in your organization. It's such a powerful connector for helping people connect outside their working groups, which makes them feel much more connected in the organization.
They see development opportunities because they have new peers. Anyways, there's so much more that we can do with Viva. If you think of Glint as part of your new Viva strategy, I think you're all going to be better off than you were before when Glint was kind of off over here on the LinkedIn side of the business.