<p>Extending conventional health and well-being services with technology has proven to be acceptable and effective. However, implementing such technology in routine care requires contextual tailoring to ensure successful uptake. The Unified Theory of Acceptance and Use of Technology (UTAUT2) is an established model with predictors and moderators of intention to use technology and use behavior. The current study aimed to design a concise screener for technology acceptance in the health and well-being field based on UTAUT2 predictors and to provide a preliminary evaluation of the instrument. The 11-item UTAUT2-Screener includes 7 predictors, i.e., performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, and habit, as well as three moderators and behavioral intention. A within-subject repeated measures design was used. Spearman’s correlations were used to test the convergent validity concurrent validity, and the test-retest reliability. Analyses on 184 individuals from the general population demonstrated a moderate association with the original UTAUT2 (mean ρ = 0.63), with some variability across the subscales. More specifically, facilitating conditions had the weakest, but still moderate association, while hedonic motivation exhibited the strongest correlation. As an instrument with single-item scales, the UTAUT2-Screener is provided for use in contexts where only brief measures are feasible and researchers or clinicians are willing to accept the reduced psychometric robustness that comes with shorter assessments. The screener provides insights into specific barriers for technology adoption and can consequently support the development of tailored acceptance-promoting interventions, hereby supporting the uptake of digital health and well-being services in practice.</p>