Overview

Analytics Dashboard is designed to give you more visibility into your account usage and UserGuiding Content performance in one central place.

You can navigate to your Analytics Dashboard by clicking on Analytics > Dashboard to see your key content events over time.

This will give you the overall performance of each live material, enabling you to drive your platform to further success.

Understanding your Analytics Data within UserGuiding

Once you land on the Analytics Dashboard, you will see that it is comprised of a few sections:

• Monthly Active User (MAU)
• Content Tabs
• Analytics Data

Monthly Active User (MAU)

The total number of unique users visiting your platform pages within a rolling 30-day period, where UserGuiding's Container Code is installed, is displayed. The MAU is calculated as a rolling sum for the last 30 days.

MAU can be calculated in two ways.

User Identification is NOT enabled (Default):

• By default, being a unique user is the session-level status of a user who has never visited your platform.
• Your current MAU will be the sum of all unique users defined based on their unique sessions within that month.
• One end-user can appear as a unique user multiple times throughout different browser sessions. Learn More.
  

User Identification is enabled:

• This means you have identified your users by sending unique IDs to UserGuiding.
• Each unique ID means one unique user, which is 1 MAU.
• Your current MAU will be the sum of all IDs you send within that 30-day period.

Content Tabs

The Analytics Dashboard can present information from content such as Guides, Hotspots, Checklists, Resource Centers, Surveys, Product Updates, Knowledge Base, and AI Assistant. The dashboard shows how your Guides performed over the last seven days by default. However, you can switch to any other content tab by clicking on its name.

Each specific content tab includes active material indicators.

Analytics Data

UserGuiding provides graphical and numerical reporting for overall active or once-was-active content you have.

By default, the line chart below shows how your guides have performed daily for the last seven days. However, you can filter information by time range and interact with graphs to retrieve date-specific data.

You can switch between different content tabs and see how other content performs.

Overall Content Performance

The overall content analytics will give you some insight into performance and usage data. They consist of the following:

Guides

Total Seen: This shows how many times your Guides have been viewed. Each time a user opens a Guide, it's counted as one “seen.” This metric helps measure interest and reach.

Total Completion: This counts the number of times users have gone through an entire Guide and completed it. It indicates how often users are not just starting, but finishing the content.

Completion Rate: This is calculated as: (Total Completion ÷ Total Seen) × 100
This percentage helps you understand how engaging and effective your Guides are. A high completion rate typically means users find the content valuable and easy to follow.

3 Top Performing Guides: This section highlights the three Guides with the highest completion rates. These Guides successfully engage users from start to finish and may serve as good examples of content structure or topic relevance.

3 Lowest Performing Guides: This section shows the three Guides with the lowest completion rates. These may indicate content that’s too long, unclear, or does not match user needs. Reviewing these Guides can help you identify opportunities for improvement.

You can click on any specific date to view a list of users who have seen or completed the Guides on that day. For more detailed insights into top or low-performing Guides, click on a Guide’s name to be taken directly to its individual reporting page.

Hotspots

Total Interaction: This shows how many times users have interacted with your Hotspots. An interaction is counted when a user clicks or hovers on a Hotspot. This metric helps measure user engagement with your UI elements.

3 Top Performing Hotspots: This section highlights the three Hotspots with the highest completion rates. These are likely well-placed and clearly understood by users, and can serve as models for designing future Hotspots.

3 Lowest Performing Hotspots: This section shows the three Hotspots with the lowest completion rates. These may indicate issues such as unclear wording, poor placement, or irrelevant content. Reviewing these can help you improve engagement.

You can click on any specific date to see a list of users who interacted with a Hotspot that day. For deeper insights into performance, click on any Hotspot name to access its detailed reporting page.

Checklists

Total Interaction: This shows how many times users have interacted with your Checklists. An interaction is recorded when a user opens a Checklist or begins engaging with its steps. This metric reflects initial interest and engagement.

Total Completion: This counts the number of times users have completed an entire Checklist—all steps marked as done. It indicates how successfully users are following the process to the end.

Completion Rate: This is calculated as: (Total Completion ÷ Total Interaction) × 100 This percentage shows how effectively your Checklists guide users through the full task flow. A high completion rate suggests that users find the Checklist helpful, straightforward, and easy to complete.

3 Top Performing Checklists: This section highlights the three Checklists with the highest completion rates. These examples likely feature clear instructions and logical steps, making them highly effective for users.

3 Lowest Performing Checklists: This section shows the three Checklists with the lowest completion rates. They may need improvement in clarity, relevance, or step complexity. Reviewing them can help you enhance the overall user experience.

You can click on any specific date to view a list of users who interacted with or completed a Checklist on that day. For detailed metrics and insights, click on a Checklist name to access its individual reporting page.

Resource Centers

Total Interaction: This shows how many times users have interacted with the Resource Center. An interaction is counted when a user opens the Resource Center or clicks on any of its content items. This metric indicates how frequently users turn to the Resource Center for help or information.

Most Searched Keywords: This section displays the top keywords users are typing into the Resource Center’s search bar. These insights help you understand what users are actively looking for, which can guide content creation, updates, and organization.

You can click on any specific date to view which users interacted with the Resource Center that day. For deeper insights, including search behavior trends and usage patterns, explore the detailed reporting available for each Resource Center.

Surveys

Total Seen: This shows how many times your Surveys have been displayed to users. Each time a Survey is shown—whether or not the user responds—it’s counted as one “seen.” This metric helps gauge reach and visibility.

Total Responses: This counts the number of completed Survey submissions from users. It reflects how many users engaged with and responded to your Survey questions.

Response Rate: This is calculated as: (Total Responses ÷ Total Seen) × 100 This percentage shows how likely users are to respond when they see a Survey. A high response rate typically means the Survey is relevant, well-timed, and easy to complete.

3 Top Performing Surveys: This section highlights the three Surveys with the highest interaction counts (i.e., most seen). These surveys attract the most engagement and can provide valuable feedback patterns.

3 Lowest Performing Surveys: This section displays the three Surveys with the fewest responses. To improve participation, these may need to be reviewed for visibility issues, timing, or clarity.

You can click on a specific date to view a list of users who saw or responded to a survey that day. To analyze performance in depth, click on any survey title to open its dedicated reporting page.

Product Updates

Page View: This metric shows how many times your Product Update posts have been viewed. Every time a user clicks into or opens a post, it counts as one page view. This helps you measure the reach and visibility of your announcements.

Latest Responses: This section displays the most recent user reactions to your updates. It includes quick reactions and any written feedback users have submitted on the posts. These responses provide valuable qualitative insight into how your updates are being received.

You can click on a specific date to view a list of users who viewed the Product Update page that day. To analyze performance in depth, open the Product Updates' dedicated reporting page.

Knowledge Base

Page View: This shows how many times any Knowledge Base article has been viewed. Every time a user opens an article, it's counted as one page view. This metric helps you measure which topics attract the most attention.

Reactions: This section captures how users rate your articles using emojis. These reactions are typically used to express how helpful or clear they found the content. Reactions help you gauge article quality from a user’s perspective.

You can click on a specific date to view a list of users who viewed the Knowledge Base page that day. To analyze performance in depth, open the Knowledge Base's dedicated reporting page.

AI Assistant

Total Conversation Sessions: This shows the number of chat interactions users initiated with the AI Assistant during the selected timeframe.
Total Resolved Conversations: This reflects how many of those conversations were resolved, either because the user confirmed satisfaction (e.g., by clicking the 👍 icon) or exited the chat without asking for further help within 24 hours.
Resolution Rate: This is calculated as: (Total Resolved Conversations ÷ Total Conversation Sessions) × 100 This rate indicates how well the AI Assistant handles user queries without needing escalation.

You can click on a specific date to view a list of users who started or resolved a conversation with the AI Assistant that day. To analyze performance in depth, open the AI Assistant's dedicated reporting page.

Exporting data

Finally, you'll see an Export CSV button at the top right of each graph on the page, where you can export the data in spreadsheet format. You can specify the data to be downloaded using content tabs and the date picker.