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Application

Drop-off Alert

Use lesson progress and completion records to find where learners stop, with drop-off severity and stalled-learner lists.

For Course creators, education operators, and online learning teams.

What you provide

  • Course and lesson identifiers for the cohort being reviewed
  • Lesson-level progress, completion, and time-spent records
  • Student progress and stalled-learner context available through the customer workflow

What you get back

  • Specific lesson or course step with the highest learner drop-off
  • Drop-off severity, average time spent, and likely friction or content-difficulty diagnosis
  • Stalled learner and progress views that help the team decide where to review next

Example workflow

How a team might use it

An online course team reviews a cohort after launch and sees completion falling after module three. Drop-off Alert identifies the exact lesson with the steepest exit rate, shows learners spending too long before leaving, and gives the team a focused remediation queue: revise that lesson, add an explanation, then watch the next cohort before changing the rest of the course.

Connect to your workflow

Use REST/JSON to send inputs and retrieve results from your application. Read-only MCP is available for supported services. Your team reviews the results and controls actions in its own systems.

More in this bundle

Engagement Decay

Turn learner activity and course progress into engagement-risk scores and lists of students who may need support.

Quiz Grader

Score written quiz responses against a rubric and get criterion-level grades, feedback drafts, and cohort summaries for instructor review.