Cohort-level wellbeing insight
    Eudemonic AI – Wellbeing Snapshot
    Aggregated • Decision-support only • No individual identification
    Cohort-level only
    Anonymised data
    No diagnosis
    No automated safeguarding actions
    View as
    OVERALL COHORT SNAPSHOT
    Overall wellbeing pressure
    21.71%
    Students reporting elevated or sustained pressure
    Survey participation
    ~800
    Students • Single survey wave
    Confidence level
    High
    Response volume & completeness
    Students report sustained pressure linked to assessment load, uncertainty about future outcomes, and impacts on sleep, motivation, and daily functioning. Patterns suggest cumulative pressure rather than isolated issues.
    Confidence & limitations

    Confidence basis

    • Sample size threshold met
    • High completion rate
    • Pilot-validated questionnaire
    • Aggregated cohort analysis

    Limitations

    • Self-reported data
    • Snapshot in time
    • Not diagnostic or predictive
    • No individual-level inference
    KEY AREAS FOR REVIEW
    Academic workload & assessments
    34.12%
    Cohorts reporting elevated pressure
    Academic workload pie chart
    Evidence source: aggregated cohort responses (no individual identification)
    Future & employability concerns
    ~50%
    Students reporting concern about future outcomes
    Student-reported concern Percent
    Job prospects after graduation 50.87%
    Transition to professional life 49.63%
    Meeting employer expectations 45.53%
    Aggregated cohort responses; individual students are not identifiable.
    Highlights transition anxiety and employability uncertainty
    Transition-related concerns
    ~49%
    Anxiety linked to progression from student life to professional life
    • End-of-study transitions
    • Career readiness pressure
    • Expectation management

    How these insights are typically used (examples)

    • Assessment load timing
    • Key transition points
    • Cohort-level wellbeing support
    • Sense-checking emerging concerns
    Illustrative examples only — professional judgement remains central.
    IMPACT ON DAILY FUNCTIONING
    • Sleep disruption and fatigue
    • Feeling overwhelmed by academic demands
    • Reduced motivation and concentration
    • Lower engagement in social or peer activities
    SUPPORTING PRIORITISATION OF WELLBEING EFFORTS
    Areas to monitor
    • Assessment-heavy periods
    • End-of-term timelines
    • Key transition points
    Areas for targeted support
    • Workload & study skills
    • Transition & employability
    • Sleep & wellbeing routines
    What this system does NOT do
    • Identify individual students
    • Replace safeguarding processes
    • Automate referrals or escalation
    Designed to support professional judgement — not replace safeguarding, counselling, or disclosure pathways.
    SAFEGUARDING & PROFESSIONAL BOUNDARIES
    • Cohort-level insight only
    • Human judgement remains central
    • Institutional safeguarding policies always apply
    • No diagnosis, prediction, or risk scoring
    Demonstration interface for professional discussion. Figures are derived from aggregated survey analysis and should be interpreted within existing pastoral and safeguarding frameworks.