Engagement Score
Every interaction a student has with the institution — assignment submissions, attendance, platform usage, survey responses — is recorded as a weighted activity log. Flourish applies a time-decay model so recent signals matter more than older ones, then normalizes the output to a 0–100 scale.
Input signals
- Assignment submissions
- Class attendance
- Platform login frequency
- Survey participation
- Peer interactions
Score bands
Mental Health Score
Students submit daily mood, stress, and anxiety scores through a 30-second self-report. Counselors can add structured observations. Flourish blends inputs using a weighted formula — mood carries the most weight, stress and anxiety each contribute equally — to produce a wellness score from 0–100.
Input signals
- Self-reported mood (scale 1–10)
- Stress level (scale 1–10)
- Anxiety level (scale 1–10)
- Counselor structured observations
- Automated pattern detection
Score bands
Behavioral Score
The behavioral engine measures three sub-dimensions — focus (7-day academic activity average), consistency (active days in the past 14), and social interaction (average of the last 10 social activity logs) — then combines them into a composite weighted score.
Input signals
- Academic activity averages (7-day)
- Consistency score (14-day window)
- Social interaction logs
- Inactivity duration tracking
- Focus pattern analysis
Score bands
Composite Risk
The risk engine combines all three scores and inactivity signals into a composite risk penalty score. Each threshold breach adds a weighted penalty — low engagement is the heaviest signal, followed by mental health and behavioral concerns, then extended inactivity.
Input signals
- Engagement score threshold breach
- Mental health score threshold breach
- Behavioral score threshold breach
- Days of inactivity ≥ 5
- Combined weighted penalty model
Score bands
Academic Performance
Flourish tracks grades, test scores, assignment completion rates, and subject-level performance across the student's coursework. The performance engine measures both absolute achievement and relative progress — detecting sudden grade drops, improvement trends, and performance gaps by subject.
Input signals
- Subject grades (latest)
- Test score trends
- Assignment completion rate
- Grade trajectory (7-week)
- Subject-level performance gaps
Score bands
Every student sees their own performance dashboard.
Grades, trends, and regional percentiles — all in one view. Students track their progress week-to-week and see how they're performing relative to peers.
My performance
Aiden M. · Year 11
Mathematics
+5English
-3Science
+7History
+2Weekly trend
The right signal, to the right person, at the right time.
Alerts don't require a human to set thresholds. Flourish scans every score update and fires structured notifications automatically — severity-classified and routed by role.
Rapid Decline
Engagement drops more than 20 points in 7 days — automatically flags for immediate counselor review.
Mood Decline
Three consecutive mood scores trending down — surfaces to the wellness team before it becomes a crisis.
Inactivity Alert
Student inactive for 5+ consecutive days — triggers an intervention prompt to their assigned educator.
Critical Student Risk
Composite risk score exceeds 75 — escalates to institution admin with a one-click intervention workflow.