Conjoint analysis is a multivariate statistical technique used to understand how individuals value different attributes of a product, service, or concept by analyzing their trade-offs among various combinations of these attributes. It investigates consumer preference structures by presenting respondents with hypothetical profiles and inferring the relative importance (part-worth utilities) of each attribute and level, enabling the prediction of preferences for new combinations and supporting strategic decision-making in areas such as product design and pricing.