Our Methodology
- 200+ aggregated, anonymised datapoints per cycle
- AI-powered early warning signals and intervention cues
- Class, program and institution-level dashboards with flexible cohort based views
- Identify students actively seeking help
- AI generated personal insight report each month
- Track progress across 7 experience domains
- Opt in to request support from their institution
- Full SEI score and domain trend view
- 20 KPIs covering engagement, consistency and belonging
- Month over month progress to track how their child is doing
SEI is powered by a monthly, non-clinical reflection cycle that measures student experience across seven critical domains. Responses are transformed into indicators that reveal focus, engagement, energy, and belonging patterns at scale. Students receive personalised insights, parents track month-over-month progress and domain trends, while institutions see aggregated data.
The 7-Domain SEI Framework
The 7-Domain SEI Framework
The seven SEI domains were selected because they represent modifiable drivers of student experience that institutions can realistically influence through policy, pedagogy, and support structures.
Why 28 Items?
The 28-item structure balances breadth and practicality.
SEI Score Interpretation
SEI Score Interpretation
SEI scores are interpreted using a dual-frame approach that combines absolute meaning with local, contextual meaning.
Absolute Interpretation
Normalized score ranges can be read as:
Local Norms
Experiences like belonging, engagement, and routines vary a lot by institution. SEI uses local normative distributions:
This keeps interpretation context-aware rather than relying on a single global standard that may not fit every institution.
Handling Measurement Error
Handling Measurement Error
Like all behavioural instruments, SEI has some measurement error at the individual level. We minimize and manage this noise through rigorous structural design.
Acting on SEI Data
Acting on SEI Data
Each SEI administration yields over a hundred data points per institution. This transforms student self-report data into a practical roadmap for creating a more human-centred learning environment.