Track if Employees are using Miro AI

Modern workplaces are abuzz with generative AI tools, and Miro, the popular online whiteboard, has joined the trend by embedding AI directly into its platform. As organizations roll out these new capabilities, one pressing question emerges: are employees actually using Miro’s AI tools, and how can we tell? Knowing the answer is crucial. It’s not about prying into work; it’s about gauging adoption, understanding impact, and ensuring that both the company and its people reap the benefits of these innovations.

Yet adoption is uneven: another survey revealed that 35% of employees rate their AI skills as “nonexistent”, and one in three knowledge workers still don’t use AI at all. This gap between early adopters and laggards means some teams might be racing ahead with AI-driven productivity, while others are left behind.

With data in hand, you can identify opportunities for training, encourage knowledge-sharing from “power users,” and ensure that investments in AI (like that Miro Enterprise subscription) deliver real ROI.

Why Track Employees’ Use of Miro’s AI Tools?

Implementing AI in tools like Miro is an investment that encompasses licenses, user training, and change management. Tracking usage of these AI features gives data to answer critical questions: Are our teams adopting the new tools? Is AI making a meaningful difference in their work? Below are several key reasons why organizations should monitor Miro AI usage (in a respectful, privacy-conscious way):

• Measure Adoption and ROI: Monitoring who uses Miro’s AI and how often provides a clear picture of adoption. If only 10% of your team is using the AI tools, you’re not getting full value from the technology. Usage data can justify the investment (or prompt a rethinking of feature rollouts) by showing whether Miro’s AI features are actually helping teams work more effectively.
• Identify Skills Gaps and Champions: Usage patterns can reveal that some teams or roles use AI heavily while others hardly use it. This insight lets you pinpoint where additional support is needed – perhaps the Sales team isn’t using Miro AI because they don’t know how it helps them. Conversely, you might find “power users” of Miro AI in one department; these champions could share best practices or serve as trainers to help other groups get up to speed.
• Boost Productivity and Innovation: There’s early evidence that employees who leverage AI feel more productive and creative. Microsoft’s Work Trend Index found that AI users report it helps them save time, focus on their most important work, and be more creative at work. By tracking usage, you can correlate AI adoption with productivity metrics – for instance, do teams using Miro’s clustering and summarization features complete projects faster or generate more ideas? If yes, that’s a story to celebrate and replicate; if not, perhaps further training is needed to realize AI’s potential.
• Discover Shadow AI Usage: If you don’t provide or monitor AI tools, employees might bring their own. In fact, 78% of employees in one study admitted to using AI tools at work that weren’t provided by their employer. Tracking Miro’s AI usage helps ensure that employees are using an approved, secure platform for AI (with Miro’s enterprise security controls) instead of unsanctioned apps. If you see low usage of Miro AI but suspect high interest in AI, that could be a red flag that people are turning to other, less governable tools.
• Ensure Compliance and Ethical Use: For industries with strict data handling rules, it’s important to know when and how AI is being used. What if someone is using Miro’s AI to summarize a board full of sensitive data? Tracking usage (especially with content logging, as we’ll discuss below) can support compliance efforts. It also helps you enforce any AI usage policies – for example, if your company guidelines say “Don’t input client PII into any AI,” you’d want to monitor that those rules are followed. We’ll cover below how to do this in a way that respects employee privacy and complies with laws.

How Can You Track Miro AI Usage?

Once you recognize the value of monitoring Miro’s AI adoption, the next step is figuring out how to do it. Unlike tracking general Miro usage (which might be as simple as seeing who logged in or how many boards were created), tracking a specific feature like AI can require a bit more setup. Here are a few approaches, ranging from built-in Miro admin tools to advanced analytics platforms:

• Use Miro’s Admin Logs: If you’re a Miro admin, there are some tools at your disposal. Miro’s Enterprise plan includes an Audit Logs feature, allowing admins to review various user actions.
• Leverage Miro Analytics (Usage Insights): Miro also provides an Admin Insights dashboard for Enterprise admins, which displays adoption metrics such as active users, active boards, and popular templates. While it doesn’t currently break out specific feature usage, it’s still useful to watch overall engagement.

• Surveys and Feedback: Another straightforward (if manual) method is simply asking your employees. Quick pulse surveys or team meetings can reveal who has tried Miro’s AI and how it’s going. This approach won’t give you usage counts, but it offers qualitative insights to supplement the hard data from logs. It’s also an opportunity to hear any concerns that you can address with communication or training.
• People Analytics Platforms: To truly track AI usage across the organization (not just in Miro but across various apps), specialized analytics tools like Worklytics can be extremely helpful. Rather than building custom scripts or checking multiple admin dashboards, Worklytics’ platform aggregates usage data from many workplace tools into one view.

In the context of AI, Worklytics offers an AI Adoption module that displays which teams and roles are utilizing AI features in tools such as Slack, Office 365 Copilot, Google Workspace, Zoom, and more – all in one place. If Miro’s AI usage logs are accessible (via API or the Purview feed), Worklytics can likely integrate those as well, so you could see Miro AI usage alongside other AI tool usage. For example, on a single dashboard, you might see that Engineering heavily uses GitHub Copilot and occasionally Miro’s AI, while Marketing relies more on ChatGPT and Miro AI for brainstorming.

Balancing Tracking with Privacy and Compliance

Whenever you monitor employee activity, even with the best intentions, it is essential to be mindful of privacy, ethics, and legal requirements. Tracking the use of Miro’s AI is essentially a form of employee monitoring. Many jurisdictions have laws around this. In the United States, for instance, the Electronic Communications Privacy Act (ECPA) prohibits unauthorized interception of electronic communications and generally requires employee consent for certain types of monitoring. Some U.S. states have their own regulations, too. For example, New York’s law mandates that employers give written notice if they monitor employees’ email, web, or phone usage. Internationally, regulations like the EU’s General Data Protection Regulation (GDPR) set strict standards for transparency and data minimization when collecting any personal data (which could include logs of software usage).

‍

From Insight to Action: Using Worklytics to Support Miro AI Adoption

Knowing whether employees are using Miro’s AI is just the first step. The real value comes from acting on those insights; that’s where a tool like Worklytics can help as a solution accelerator. Worklytics not only gathers the raw usage data but also helps interpret it and drive improvement. For example, the platform can automatically highlight the “AI champions” in your organization – those people or teams using Miro AI (and other AI tools) most extensively – so you can leverage them as internal experts or recognize their efforts. It can also pinpoint departments that are lagging in AI use, allowing targeted interventions. If the data shows that after a training session, the Marketing team’s Miro AI usage jumped from near-zero to dozens of uses per week, you have measurable proof that training works (and you can replicate that success elsewhere).

Meaningful Insights

Another benefit of a dashboard like Worklytics is the ability to correlate usage with outcomes. Perhaps you overlay Miro AI usage data with project delivery times, and notice that teams using the AI features heavily are completing design iterations 20% faster. Insights like these help build the business case for AI and guide leadership decisions. It may even inform policies like a shorter workweek if efficiency truly rises dramatically.

See the value of Miro AI

In summary, tracking if and how employees use Miro’s AI can unlock a wealth of actionable knowledge. You’ll gain visibility into who is embracing new ways of working and who might need help, see where AI is delivering value (or not), and ensure that your organization’s foray into generative AI is both effective and responsible. With Miro making creative collaboration easier and analytics platforms like Worklytics providing the needed oversight and analysis, companies can confidently harness Miro’s AI to the fullest – boosting productivity while keeping data protected.

Empower your teams with AI, measure what matters, and iterate: that’s the recipe for weaving AI into the fabric of work. By tracking Miro AI usage in a thoughtful way, you’re not playing Big Brother; you’re playing coach, shining a light on opportunities to innovate and helping everyone reach the finish line of a more AI-augmented, efficient workday.

‍