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Learner Intelligence

Learner Intelligence is a Pro panel on the Learners screen. It surfaces a prioritised intervention queue — learners who match one or more risk conditions — along with configurable thresholds and queue filters.

Summary cards

Four cards give a quick count before you look at individual learners:

CardWhat it counts
Intervention QueueTotal learners matching any active queue condition
High RiskLearners with high_risk status
Inactive 30+Learners with no activity for more than 30 days
UnattributedLearners with no marketing source recorded

Intervention queue table

The table lists learners sorted by severity. Columns:

ColumnDescription
LearnerName and email
Risk LevelHealthy / Passive / At Risk / High Risk
InactivityDays since last recorded activity
ProgressColour-coded progress bar (red / amber / green based on thresholds)
Primary ReasonsPill tags indicating why the learner is in the queue

Reason tags

TagWhat it means
high_riskLearner risk status is high_risk
critical_inactivityNo activity for more than 90 days
inactive_30_plusNo activity for 31–90 days
no_attributionNo UTM source or landing page data recorded
low_progressProgress is below the critical threshold

A learner may carry multiple tags if they match more than one condition.

Progress thresholds

The dual-handle slider sets your progress benchmarks:

  • Left handle (critical) — progress below this value shows in red
  • Right handle (warning) — progress below this value (but above critical) shows in amber
  • Progress at or above the warning threshold shows in green

The handles enforce a minimum 1% gap. Drag both handles to set the zones that match your course expectations.

Click Apply to save the thresholds to the database. They persist across sessions. Click Discard to reset the slider to the last saved values without saving.

Queue override options

Three checkboxes let you narrow or reorder the queue without changing the base thresholds:

OptionEffect
Only no-attribution learnersRestricts the queue to learners with no source data — useful for attribution audit workflows
Exclude completed learnersRemoves learners who have completed all enrolled courses
High intensity focusAfter sorting by severity, promotes learners who are more than 50% through a course but have gone inactive — the "invested but dropped off" group

Pagination

The queue shows 5 rows per page. A footer shows the current range and total (e.g. "Showing 1–5 of 23"). Use the page buttons to navigate.

Typical uses

  • Weekly retention review — Open the Learners screen, check the summary cards for any notable spikes, then work through the queue starting from the top.
  • Post-launch check — After a course launch, use High Intensity Focus to find learners who started strong but stalled before completion.
  • Attribution audit — Enable "Only no-attribution learners" to find everyone who enrolled without a recorded source. These learners represent attribution gaps worth investigating.
  • Cleanup after a sync — Check the Inactive 30+ count after a sync to confirm stale activity data has updated.