OBJECTIVES: Although inclusive judgement criteria are useful to healthcare decision making, combining multiple dimensions to provide a comprehensive score for a multi-faceted concept remains challenging. Herein we present a multivariate approach mining a large set of real word data to provide such a score. We focus on a recent crucial endpoint of drug development: medicine acceptability evaluations in vulnerable populations. METHODS: We applied the same methodology in the pediatric and the older populations. Observers reported several behaviors describing the different aspects of acceptability (intake, reaction, time, and the use of methods to achieve administration), for various medicines uses. Therefore, the evaluations corresponded to combinations of measures. Using a Multiple Correspondence Analysis, these numerous combinations were positioned on a map, wherein proximity reflects similarity. Consequently, a clustering gathered the most similar combinations, those closest on the map, to define acceptability profiles. RESULTS: Comparable coherent three-dimensional maps visualize the key relationships between the observed measures that emerged from the data collected in the pediatric (946 evaluations on 256 medicines) and the older (1079 evaluations on 280 medicines) populations. The maps juxtapose green and red zones that materialize the positively and negatively accepted profiles, respectively. Many factors of interest (e.g. medicine, formulation, patients population) were positioned on the maps at the barycenter of the related evaluations. Position was therefore due to the different combinations of measures reported. A barycenter belonging to the green zone, along with all of the 90% confidence ellipses surrounding it, was considered as accepted. CONCLUSIONS: This multivariate approach offers an intelligible reference framework providing a visual binary score integrating the different dimensions of acceptability. Using this judgement criterion, medicine features that best fit user characteristics could be studied in both vulnerable populations. This methodology is similarly used to assess and better grasp further multi-faceted concepts, such as cognitive performance.