This article explains how to use the content-level views in Big Think+ Analytics to track engagement with curations, lessons, learning paths, expert classes, and courses.
Big Think+ Analytics offers multiple tabs where you can view performance data by content type. Each tab includes key engagement metrics, sortable tables, and downloadable data. You can use these views to identify what content is resonating most with your team.
Where can I see analytics by content type?
At the top of the Analytics page, you’ll find tabs for the following content types:
Curations | Lessons | Learning Paths & Classes | Courses
Each view includes consistent metrics that help you compare performance across formats.
What data is available in each content view?
All data reflects activity within the date range selected at the top of the Analytics dashboard.
Curations
- Curation Name
- Creator (Name or email)
- Duration (Total estimated time to complete all content in the curation)
- Time Spent Learning (Video and course viewing time for all learners who engaged with the curation)
- Learners (Unique learners who've engaged with the curation)
- Last Activity
- Completion Rate
- Status (Published or Unpublished)
Lessons
- Lesson Name
- Time Watched (Total video watch time)
- Learners
- Last Activity
- Capability (Topic area, e.g., Communication)
- Average Completion Rate
Learning Paths & Expert Classes
- Title
- Type (Learning Path or Expert Class)
- Duration
- Learners
- Time Watched
- Last Activity
- Average Completion Rate
Courses
- Course Name
- Duration (Includes video durations and estimated time for discussions, missions, assessments, etc.)
- Learners
- Time Spent Learning
- Last Activity
- Average Completion Rate
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 content, experts, or learners.
- To save your view for reporting or further analysis, click the Download button to export the current table as a CSV file.