Retention Radar Overview 🔗
Retention Radar is an add-on solution for Aspire EDU customers using Canvas, designed to show whether retention efforts are improving student outcomes over time. It provides a single view of risk distribution across the student body, with breakdowns by enrollment, sub-account, and term.
What Retention Radar Shows 0:00
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Displays how student risk levels change over time across the full student population.
Breaks students into low, medium, and high-risk groups.
Supports views by:
- enrollment
- sub-account
- term
- Available only to schools using Canvas as their LMS.
Top-Level Controls 0:34
- Print: creates a quick snapshot.
- Notepad: opens notes.
- Notifications: opts into weekly email summaries.
- Support: connects you with your Business Relationship Manager.
- Change Date: lets you review historical data.
Overall Student Risk Breakdown 0:52
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Shows an overall student risk score.
Includes a pie chart of the student body split into low, medium, and high risk.
Provides time-based comparisons for:
- today
- 7 days ago
- 1 month ago
- 1 year ago
- Charts can be switched to table view and downloaded.
Enrollment and Sub-Account Views 1:11
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Repeats the risk breakdown at the enrollment level.
Useful because many students appear in multiple courses.
Supports drilling into sub-account data.
Helpful for institutions organized by:
- college
- department
- subject area
- building
Term Breakdown and Outcome Metrics 1:35
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Shows term-level metrics at the bottom of the page.
For each term, includes:
- enrollment numbers
- drop rate
- pass rate
- average risk score for students who ultimately failed
- The failing-student risk score helps identify who to reach out to and when.
- The pass/fail threshold can be adjusted if 65% is not the right cutoff for the institution.
Availability and Next Steps 2:00
- Retention Radar is an add-on product with an additional cost.
- Schools interested in a preview with their own data should contact their Business Relationship Manager.
Need Help? Reach out to support@aspiredu.com.