Early signals, timely action
Automatic alerts when engagement, attendance, performance or mood data show concerning patterns — so you can act before the problem grows.
Pattern detection
AI watches changes in engagement, scores and absences.
Huddle integration
Alerts appear automatically on the huddle board.
Configurable thresholds
School admin sets when an alert is triggered.
GDPR-first
Only the class team sees student data — leadership sees trends.
What an alert looks like
Faldende engagement — 7.B · Elev A
Aktivitet faldet 42% over 14 dage. Især i matematik og dansk.
Fraværsmønster fredage — 5.A · Elev C
4 fredage i træk med fravær. Anbefal samtale.
3 lave humørsvar — 8.A · Elev F
Daglig trivselscheck under tærskel 3 dage i træk.
How it works
Data is collected
Engagement, attendance, scoring and mood are gathered continuously.
Patterns surface
AI flags concerning changes over time.
Team is notified
Class team gets an alert and can open a huddle case.
What gets detected
Falling engagement
Sudden drop in activity or participation.
Absence patterns
Repeated absences on the same day or subject.
Low mood responses
Several low responses in a row in daily check-in.
Q & A
Does it replace teacher judgement?
No — alerts are help, not conclusions. The teacher always decides.
Which data is used?
Only data already in the platform — no external profiling.
Can students see alerts?
No. Alerts are only for class team and support staff.