Predictive visibility prevents surprises
Leadership teams need to know which programs are drifting early enough to intervene. Static reports arrive too late, and anecdotal updates miss the full picture.
LearnX aggregates mastery data, attendance, and engagement to forecast outcomes by cohort and course, then highlights the actions that change those trajectories.
When leadership sees risks early, they can deploy support before learners fall behind.
How to set up leading indicators
Choose signals that predict mastery, not just lagging grades. Then make them actionable.
- Track mastery momentum (pace toward completion) for each cohort.
- Monitor attendance and submission streaks as early warning signs.
- Surface instructor workload so support can be added before bottlenecks form.
- Attach recommended plays to each risk type so teams know what to do next.
Plays for leadership reviews
Use these moments to steer outcomes instead of reporting on them.
Monthly outcomes council
Bring data and actions together in one standing meeting.
- Review predicted mastery dates vs. actual pace.
- Assign owners to each risk cluster with clear plays.
- Follow up with a one-page summary for deans and faculty.
Key takeaways
- Predictive views give leaders time to act before grades slip.
- Choose leading indicators that correlate with mastery and engagement.
- Attach recommended plays to each risk so teams know the next move.