User analytics

User analytics in Document360 gives you a detailed view of each team member's activity in the knowledge base portal, including their contributions, portal role, and last contribution date. Use it to track content output across your team, identify top contributors, and monitor publishing activity over time. You can access User analytics from the Analytics () section in the knowledge base portal. To know about reader analytics, go to Reader analytics.

Why use user analytics

• Use user analytics when you want to measure how much each team member has contributed to your knowledge base over a specific period.
• Use it when you need to identify top performers or spot team members who may need support or reassignment.
• Use it when you want to review the articles a specific user has contributed to, along with reader engagement data such as views, reads, likes, and dislikes.

How to access user analytics

1. In the knowledge base portal, navigate to Analytics () in the left navigation bar.
2. In the left navigation pane, click Users.

The User analytics page opens, displaying data for the last 7 days by default.

Apply filters

1. Click the Date filter dropdown and select a predefined range (such as This month or Last month), or choose Custom to specify a date range.
2. Click Filter to narrow down analytics data based on categories in the knowledge base workspace.

User analytics metrics

The User analytics page displays three metric tiles:

The table below the tiles lists all team members with the following details:

View individual user contributions

1. Click a user's name to open their individual contribution details. The following information is displayed:

   • Profile: Name, profile image, email, portal role, and last login date and time (UTC).
   • Contribution performance: Four tiles showing Articles created, Total views, Total likes, and Total dislikes. Deleted articles are excluded from these counts.
   • Articles: A list of article names the user has contributed to, with Views, Reads, Likes, Dislikes, Created on, and Last updated date.

2. Click Filter to narrow down the articles list. The following filter options are available:

   • Article type: All, Page, Article
   • Date: 7 days, 30 days, Custom date
   • Read receipt status: All, Yes, No (available for Private and Mixed projects only)
   • Category: All categories in the workspace

3. Click Apply to apply the selected filters.

4. Hover over an article title and click View in knowledge base () to open the article on the knowledge base site.

Export user analytics data

• To export the full user analytics list, click Export CSV on the Users page. The file is saved to your local storage in .csv format.
• To export an individual user's analytics, click the user's name and then click Export above the articles list.

Best practices

• Review contribution data by date range. Use the Date filter to compare team output across different periods, such as before and after a documentation sprint.
• Use individual profiles to assess article quality. High contribution counts with low views or reads may indicate that articles need better discoverability or restructuring.
• Filter by category when managing large teams. Narrowing data to a specific category helps you evaluate contribution coverage for a particular section of your knowledge base.
• Export CSV data for team reporting. Use exported data to share contribution summaries with managers or during team reviews without needing direct portal access.
• Check last login and last contributed dates together. A user who is active in the portal but has not contributed recently may benefit from a check-in or reassignment.

FAQ