This article explains how to use the Learners tab in Big Think+ Analytics to understand individual user engagement and progress across the platform.
The Learners Analytics tab gives you a detailed, sortable view of how individual users are interacting with Big Think+ content. This data helps you identify learners and sort them by engagement, making it easy to target learners who may need support for follow-through.
What does the Learners tab show?
Each row in the Learners tab represents one user and includes the following fields:
- Email: The user’s email address (serves as a unique identifier).
In some cases, learners' email addresses may appear as alphanumeric combinations that look unfamiliar; this is common in organizations accessing Big Think+ via SCORM or, in some cases, SSO.
- Name: The user’s full name, if available in your organization’s data.
- Last Active: The most recent date the learner logged into Big Think+.
- Content Views: The number of video or course submodule views during the selected date range.
- Completion Rate: The average video completion percentage across all content the user started.
- Video View Time: The total time the learner has spent watching video content on the platform.
How can I use this data?
Use the Learners view to:
- Identify your most and least active learners.
- Spot engagement trends across teams or departments.
- Track individual learning engagement for recognition or intervention.
- Export learner-level data for custom reporting or sharing with stakeholders.
Note: The Learners tab is sorted by Video View Time by default, but you can click any column header to re-sort the data.
Need to filter or download this data?
- You can adjust the date range at the top of the Analytics dashboard to narrow your view to a specific time period.
- Use the filter feature to find specific learners by name or email.
- To save your view for reporting or further analysis, click the Download button to export the current table as a CSV file.