Understanding Wellness Scores

Wellness Score Scale (1-10)

7.0-10.0 Excellent Outstanding wellness, minimal support needed

5.0-6.9 Good Healthy wellness, occasional support beneficial

3.0-4.9 Moderate Average wellness, regular support recommended

1.0-2.9 Needs Attention Below average, immediate support needed

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AI-Powered Wellness Intelligence

Our advanced AI analyzes all survey responses—regardless of template structure or question format—and converts them into a single, actionable and predictive wellness score (1-10). This intelligent scoring system works with any survey template, automatically identifying wellness-related questions through semantic analysis and weighting them appropriately.

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Actionable

Clear insights that drive immediate decisions

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Predictive

Identifies trends before issues escalate

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Intelligent

Template-agnostic semantic analysis

Score Context

Higher scores (7.0-10.0) indicate better overall wellness and fewer support needs
Lower scores (1.0-2.9) suggest areas where students need more support and resources
AI calculates scores from survey responses across multiple wellness dimensions, automatically detecting and weighting wellness-related questions
Trends over time help identify improving or declining wellness patterns with predictive accuracy
Location & team-specific scores help target resources to areas with greatest need

Research Methodology & Validation

Our AI-powered wellness assessment system uses a 1-10 rating scale for survey questions, with calculated wellness scores ranging 1-10. This approach is grounded in established psychological research and validated assessment instruments:

Pitt Wellness Scale - A validated Likert scale developed specifically for university environments, measuring seven wellness domains with Cronbach's alpha reliability ranging from 0.714 to 0.892 (PMC7221649)
WHO Well-Being Index - A widely-used scale assessing psychological well-being, validated across diverse populations and demonstrating strong psychometric properties (Karger 2015)
Ryff's Psychological Well-Being Scales - Established Likert scales measuring six dimensions of wellness, with extensive validation in academic settings (PMC6292717)
Visual Analog Scales (VAS) - Widely validated for assessing subjective wellness states, offering greater sensitivity and granularity in responses (PMC4110524)
Multi-Dimensional Assessment vs. NPS - Unlike single-metric approaches such as Net Promoter Score (NPS), multi-dimensional wellness scales demonstrate superior predictive validity and clinical utility. Research shows that comprehensive wellness assessments capture nuanced psychological states that simple satisfaction metrics cannot (Frontiers in Psychology 2020). Our 1-10 scale integrates multiple wellness dimensions (stress, mood, energy, social connectedness) rather than relying on a single satisfaction question, providing actionable insights for targeted interventions.

AI-Powered Scale Advantages: The 1-10 rating scale for individual questions provides optimal balance between simplicity and sensitivity, offering greater granularity than traditional 5-point scales while ensuring high response rates and capturing meaningful wellness variations. Our AI automatically converts all responses—regardless of template structure—into a single, actionable wellness score (1-10) that aggregates multiple dimensions intelligently. Unlike simple satisfaction metrics (e.g., NPS), our AI-driven multi-dimensional approach combines validated psychological constructs with semantic analysis, enabling evidence-based decision-making and targeted resource allocation. The AI's template-agnostic design means it works seamlessly with any survey structure, automatically identifying wellness indicators and predicting trends before they become critical issues. This methodology aligns with modern practices in psychological assessment and facilitates reliable, predictive trend analysis over time.