Digital Self-Assessment of Well-Being: Validation of the Libellules Tool Against Gold-Standard Psychological Scales

The Libellules (WB6Dim) study aims to validate a digital self-assessment tool for measuring individual well-being across six dimensions: sleep and recovery, emotional climate, self-esteem, perceived autonomy, energy reservoir, and hyperconnection. This observational study includes approximately 800 adult participants divided into two cohorts: one group completes the self-assessment tool only, while the other group additionally performs a brief video-based relaxation exercise during the 15-day interval between evaluations. Each participant completes the Libellules questionnaire and a set of validated gold-standard psychometric scales (including PSS-10, ISI-7, CFQ, SAS-SV, and PIUQ-9) at baseline and after 15 days. The primary objective is to evaluate the convergent validity, internal consistency, and test-retest reliability of the Libellules items compared with established instruments. The study is fully anonymous, non-interventional, and conducted in compliance with data protection regulations (CNIL, GDPR).

Digital self-assessment tools are increasingly used in preventive health, workplace well-being programs, and population-level monitoring. However, most validated questionnaires currently available were designed for clinical or academic settings and rely on long item batteries that are difficult to deploy repeatedly in everyday contexts. The WB6Dim (Libellules) instrument was created to address this limitation by providing a brief, intuitive, and multidimensional representation of individual well-being suitable for large-scale, low-burden use. The tool produces six numerical indicators-sleep and recovery, emotional climate, self-esteem, perceived autonomy, energy reservoir, and hyperconnection-derived from a short set of subjective items. During development, particular attention was given to clarity of wording, reduction of respondent fatigue, and the ability for individuals to understand and monitor their own "profile" over time. The instrument is fully digital and designed to be completed in under ten minutes, making it compatible with routine preventive practices. The aim of the present study is to characterize the psychometric behavior of these digital indicators when used in real-life conditions. Because the tool is intended for repeated, short-interval use outside clinical contexts, the study examines how the indicators behave when measured twice over a two-week period. A two-cohort structure was employed to observe the natural stability of scores under standard conditions and to compare this with the evolution of scores in participants who voluntarily engaged with a brief relaxation video made available between the two time points. This simple stimulus was not intended as a clinical or therapeutic intervention but allowed exploration of short-term sensitivity while preserving the non-interventional nature of the study. Data collection procedures were designed to guarantee complete anonymity. The platform was configured not to record IP addresses, names, emails, device identifiers, or free-text responses containing personal data. Only numerical questionnaire responses and non-identifying demographic categories were stored. This approach ensured compliance with GDPR and French CNIL requirements for anonymous observational research and removed the need for medical ethics board review. The analytical approach focuses on commonly used psychometric properties relevant to short digital instruments. These include descriptive statistics, internal consistency of each dimension, temporal reproducibility between the two assessments, and correlations between the Libellules indicators and established psychometric scales covering conceptually related domains. All analyses were based exclusively on de-identified numerical data collected at baseline and follow-up. The purpose of these analyses is to document the measurement behavior of the six digital indicators and to determine whether their structure is compatible with future use in preventive, occupational, and public health contexts where rapid and repeated assessment is required. The study does not involve clinical evaluation, diagnosis, treatment allocation, biological sampling, or medical follow-up. It provides foundational data for the future refinement of the WB6Dim instrument and for the development of scalable, user-friendly digital tools aimed at supporting well-being awareness and preventive initiatives at the individual and organizational level.