Released: November 14, 2025
Available in Element Success. See our packages overview for details.
Grade Risk Detection is an automatic early warning system that identifies students whose academic performance is trending downward. This feature pairs well with our Native Courses Integrations for Learning Management Systems by continuously monitors grade changes across all active enrollments and assigns risk levels (Watch, At Risk, Critical).
You can use this data to trigger automatic AI-powered outreach through Bolt Agent Jobs, enroll students in Workflows to assign tasks to advisors and intervention teams, or create targeted Segments for population tracking.
Multi-metric evaluation: Monitors grade velocity (rate of change per day), drops from peak performance, consecutive downward streaks, and proximity to term end dates
Point-based risk scoring: Automatically assigns risk levels based on performance patterns, with No Risk, Watch, At Risk, and critical categories
Combined risk assessment: Students with multiple at-risk enrollments receive an overall risk evaluation that reflects their complete academic picture
Term urgency adjustments: Enrollments approaching their end date receive elevated severity levels to account for limited recovery time
Seamless integration: Works with Bolt Agent Jobs for autonomous AI-powered outreach, Segments for targeted communications, and Workflows for automating advisor tasks and other intervention steps
Data availability: Grade history tracking and risk evaluation began on November 12, 2025. Risk levels appear only on enrollments with grade updates submitted on or after that date. Earlier activity won’t generate risk or trend history.
This proactive monitoring system enables institutions to identify and support struggling students. By automatically detecting performance trends and triggering timely interventions through multiple engagement channels, teams can provide targeted support when it matters most—improving student success rates while reducing the manual effort required to track academic performance across your entire student population.
