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For the complete documentation index, see llms.txt. This page is also available as Markdown.

Monitoring the adoption of a particular AI tool

Monitor the adoption of a specific AI tool with a dedicated dashboard that provides detailed insights into its usage and adoption metrics. This allows you to adjust license numbers, initiate enablement campaigns/training, or identify low usage areas.

If AI Tools dashboards show missing or incomplete data, your Nexthink administrator should verify and validate AI Tools requirements.

Accessing the specific AI tool of interest

From the navigation panel, select the specific AI tool of interest listed under AI Tools.

Breaking down dashboard data by your employee groups

Filter the tool-specific dashboard data to analyze usage according to your organization structure or employee groups.

Depending on the AI Tool, you may also filter results by desktop and web (browser) versions.

To filter the AI tool dashboard by employee groups:

  1. Contact your Nexthink administrator to configure user organization fields. Custom filters become available after setting up user organization fields in Nexthink.

  2. After creating and enriching user organization fields, filter AI adoption dashboards using the custom filters automatically added at the top of the page.

Custom filters replace the default Department filter in all AI Tool dashboards to avoid conflicts between the defined organizational structure and the default Department data.

Configuring and enriching user organization fields is required for monitoring AI tools based on your specific organizational structure.

Analyzing the adoption of the AI tool

Use dashboard sections and widgets to analyze AI adoption, usage, engagement patterns, and employee experience of the specific AI tool.

Understanding key adoption indicators for the AI tool

Explore the top section of the tool-specific dashboard with AI adoption and engagement metrics:

  • Weekly AI-engaged time per employee—with bar chart visualization. This metric includes the Industry benchmark.

  • Weekly active users who most frequently engage with the specific AI tool

  • Percentage of Churned users who have not used the specific AI tool in the last 30 days, but used it at least once in the last year.

  • Tool-specific available licenses.

  • AI-generated Insights with recommendations to address tool-specific usage and enablement gaps.

To understand how the system determines engagement time, refer to Estimation of AI-engaged time per employee.

The system displays the ✦ sparkles icon to indicate AI-generated content or insights. AI is evolving rapidly and delivering great insights, but it can still make mistakes. Nexthink recommends validating your results to ensure accuracy and support informed decision-making.

Refer to the Nexthink Insights - AI Model Card documentation for more information.

Monitoring Employee experience with the AI tool

Track the Employee experience with the AI tool, collected by built-in Nexthink campaigns that capture employee perspective and sentiment.

To review the criteria and questions within built-in campaigns, refer to Built-in campaign content for sentiment tracking

Powered by AI, Nexthink generates Recommended actions and Use cases based on employee feedback. In addition, the system compares the perceived saved time to Industry benchmarks.

Determine the weekly time saved from the employees' perspective

View the average number of hours employees believe they save each week by using AI tools. Compare the perceived saved time to Industry benchmarks.

Alternatively, hover over the weekly time saved to reveal the action menu for related drilldowns or investigations.

Consult the Recommended actions for employee-reported challenges

Powered by AI, Nexthink generates Recommended actions to address employee-reported challenges when using AI tools. The system automatically lists the actions from highest to lowest impact.

Select a specific recommendation to review the related employee comments, including an AI-generated summary at the top under Insights.

The system displays the ✦ sparkles icon to indicate AI-generated content or insights. AI is evolving rapidly and delivering great insights, but it can still make mistakes. Nexthink recommends validating your results to ensure accuracy and support informed decision-making.

Refer to the Nexthink Insights - AI Model Card documentation for more information.

Identify successful employee Use cases — for possible scalability of AI

Powered by AI, Nexthink generates Use cases based on employee comments about AI tool usage in their daily work. The system automatically lists the use cases from most to least common across employees.

Select a specific use case to review the related employee comments, including an AI-generated summary at the top under Insights.

The system displays the ✦ sparkles icon to indicate AI-generated content or insights. AI is evolving rapidly and delivering great insights, but it can still make mistakes. Nexthink recommends validating your results to ensure accuracy and support informed decision-making.

Refer to the Nexthink Insights - AI Model Card documentation for more information.

If no data appears under Employee experience with AI tools, the built-in Nexthink campaigns may not be active or fully deployed. After activation, allow up to seven days for data to appear.

If the issue persists, contact your Nexthink administrator to verify all AI Tools requirements

Analyzing engagement patterns of the AI tool

Leverage tool-specific AI usage details with visualizations and benchmarking of AI-engaged time distribution, usage patterns, and user-tool interactions to better assess employee usage.

Use the widgets and visualizations under AI usage details to:

Understand the AI-engaged time distribution across employees

The AI-engaged time distribution chart illustrates the percentage of employees using the AI tool within various time intervals. From 0–2 hours, 2–4 hours, up to—but not including—40 hours per week.

To understand how the system determines engagement time, refer to Estimation of AI-engaged time per employee.

Track AI interactions trend and volume over time

The AI interactions widget displays the volume of interactions and its evolution over time. Colored arrows with percentages indicate the direction of change for easy identification.

Distribute AI usage patterns into distinct persona quadrants

Visually distribute AI usage patterns into persona quadrants to identify the employee groups that require enablement or optimization initiatives. Break down usage by Department or configured custom filters to focus on specific employee groups.

Each quadrant represents a distinct AI usage persona:

  • Champions frequently use the AI tool in their workflows and accumulate high daily and weekly usage.

  • Deep divers regularly use the AI tool and accumulate high daily usage but lower weekly usage.

  • Regulars use the AI tool consistently over time, with lower daily usage but higher weekly usage.

  • Explorers use the AI tool infrequently, with low daily and weekly usage.

The size of the circles in the quadrant chart represents the number of employees using the specific Al tool in each department.

Break down engagement data by organization Departments

At the bottom of the dashboard, the Breakdowns by Department table lists insights similar to the quadrants, based on the Department or configured custom filters that define your organizational hierarchy groups. The list displays:

  • Weekly AI-engaged time per employee in the department (in hours).

  • Weekly active users in the department.

  • Churned users who were active 30 days ago but have shown no activity since.

  • The number of AI tool interactions per employee in the department.

To understand how the system determines engagement time, refer to Estimation of AI-engaged time per employee.

Analyzing widgets and data specific to the Microsoft Copilot dashboard

The dashboard for Microsoft Copilot displays data and filters specific to this tool.

Use specific widgets and options only available in the Microsoft Copilot dashboard:

Apply user-license filters specific to the Microsoft Copilot dashboard

From the Microsoft Copilot dashboard, filter by Copilot type:

  • The Microsoft 365 Copilot filter displays tool-specific data for licensed Copilot usage.

  • The Copilot chat filter displays tool-specific data for unlicensed Copilot usage.

Nexthink AI Tools collects user-license data for Microsoft Copilot by default, even if you do not configure Microsoft Copilot in AI Tools. Refer to F.A.Q about Microsoft Copilot data retrieval for more details.

Analyze widgets specific to the Microsoft Copilot dashboard

Find widgets specific to the Microsoft Copilot dashboard:

  • The Applications in use (Last 7 days) widget shows usage breakdown of MS Copilot across applications, such as SharePoint, Excel, PowerPoint, and more.

  • Check how your organization's AI-engaged time per employee compares to the Industry benchmark.

  • Keep track of the week-over-week (WoW) AI interaction trend in Copilot usage for specific applications.

Detecting AI engagement patterns with a heatmap specific to the Microsoft Copilot dashboard

Detect AI engagement patterns of Microsoft Copilot across organizational units and applications by using a heatmap that displays weekly AI engagement time by department and application.

Spot anomalies, such as tools with low activity in high-priority divisions, and simplify decision-making through a colored representation.

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