Our Methodology

Partner with Institutions

Students take the monthly SEI assessment

Responses (anonymised)

AI Generated Reports(SEI Score, 7-domain breakdown, personalised suggestions)

Analytics Mechanism

Datapoints(200+ actionable datapoints)

SEI is powered by a monthly, non-clinical reflection cycle that measures student experience across seven critical domains. Responses are transformed into anonymised indicators that reveal focus, engagement, energy, and belonging patterns at scale. Students receive personalised insights, while institutions see only aggregated data. Individual responses are visible to counsellors only if a student explicitly clicks the “Seek Help” button.

How the SEI System Works

Annorth AI uses a science-backed, non-clinical assessment model to measure how students actually feel and perform inside an institution. The methodology combines behavioural science, psychology, data analytics, and AI interpretation, without asking diagnostic or sensitive questions.

The 7-Domain SEI Framework

The SEI reflects student experience across seven critical domains:

Cognitive Focus
Emotional Energy
Social Belonging
Academic Engagement
Behavioral Activation
Support Perception
Routine Consistency

Each domain influences student well-being, learning behaviour, and long-term engagement.

Monthly Reflection Assessment

Students answer a short, 3-minute reflection survey once every month. This frequency is optimal for:

tracking progress
detecting early issues
measuring the impact of interventions
observing stress cycles during exams

All questions are non-clinical, behaviour-based, and judgement-free.

Secure, Anonymous Processing

When students submit their SEI responses:

data is fully anonymised
only aggregated score outputs appear on the institution dashboard
No teacher or admin can see individual student responses unless a student intentionally clicks the “Seek Help” button, which privately notifies the counsellor.

This ensures privacy, honesty, and high participation.

AI-Generated Personal Reports

Each student receives:

an overall SEI Score
domain breakdown
monthly trend graph
interpretation of what the data means
personalised suggestions to improve studying, focus, and daily routines

The goal is self-awareness, not diagnosis.

200+ Actionable Data Points for Schools

Annorth’s analytics mechanism converts anonymised student responses into 200+ school and class-level KPIs, including:

energy patterns across classes
engagement dips
belonging gaps
routine breakdowns
focus and cognitive fatigue trends
early disengagement markers

These are metrics schools have never had before.

AI Action Recommendations

The system automatically generates:

school-level suggestions
class-level intervention ideas
weekly actionable strategies
insights into what needs attention first

Institutions receive clear steps, not raw data.

Built-In Safety Mechanism

Students can tap a “Seek Help” button. This sends a direct, private alert to the school counsellor.

This prevents:

false alarms
unnecessary escalations
missed critical cases

Only genuine help requests reach professionals.

Designed for Real Impact

The SEI methodology works because it is:

Non-clinical & safe for all ages
Highly accurate due to monthly reflection
Anonymous, increasing honesty
Actionable: converts data into recommendations
Linked directly to academic outcomes
Designed around long-term student growth

Annorth AI creates the first truly measurable model of student experience inside an institution.