Spot the students who need you, before they fall behind.

The Early Warning System scores every student from 0 to 100 on attendance, grades, engagement and fees, every day. Classter AI explains what's behind each score and suggests what to do next.

Risk shows up in your data weeks before it shows up in a meeting.

A run of absences, a failed subject, an engagement drop. The Early Warning System reads those signals across every student, every day, so your team sees who needs support while there's still time to help.

How it works

Three steps from data to action.

1

Set your rules

Decide what counts as risk at your institution. For example: absence of 20% or more adds 40 risk points. Weight each category the way you see it.

Attendance · Absence Percent ≥ 20 → +40 points

2

Score every student, daily

Classter checks each student against your rules on a schedule, daily by default, and gives a score from 0 to 100. Every calculation is kept, so you can compare any two dates.

High Medium Low

3

Act on the insight

Open any student to see exactly why they scored what they did. With Classter AI switched on, you also get a written analysis and recommended next steps.

Suggested: schedule a check-in with the tutor this week.

No black box. Every point explained.

See the score, the category breakdown, every rule that was triggered and the real value behind it, and how the score has moved over time. Then read what Classter AI suggests doing about it.

Built for how your institution actually works.

Your rules, your weights

Choose the fields, thresholds and points that matter to you, and how much each category counts.

Fair by design

Weights keep one signal from dominating. An unpaid balance on its own doesn't mark a student as academically at risk.

History you can compare

Every calculation is kept. Go back to any date and see whether support is working.

Read-only, always

The Early Warning System only reads your data. It never changes a student record.

AI on your budget

Switch the AI analysis on when you want it and set a monthly cap. The rules keep running either way.

The right people see it

Role privileges decide who can configure the rules and who can view the results.

Frequently Asked Questions

Does the Early Warning System change student records?

No. The Early Warning System only reads your data. It never changes a student record.

How often are scores updated?

Classter recalculates every student’s score on a schedule, daily by default. Every calculation is kept, so you can compare any two dates.

Can we decide what counts as risk?

Yes. You choose the fields, thresholds and points for each rule, and how much each category counts. For example, absence of 20% or more can add 40 risk points.

Do we have to use the AI analysis?

No. The rules and scores work on their own. The AI analysis and recommended actions are optional, use your AI credits, and you can set a monthly cap.

What do we need to get started?

The Classter AI module in your licence, the Early Warning System switched on for your institution, and at least one active risk rule. The AI analysis is optional and can be switched on separately.

See who needs you this week.

Thirty minutes, with your own rules in mind. We'll show you the Early Warning System working on a real institution.