Diagnosis for interactive conjoint analysis

Conjoint analysis was a popular batch-type method for extracting customer's preference. However, without interaction, it missed sometimes the accuracy of respondents' evaluation and included potential inconsistency. In order to overcome the problems, this paper proposes a diagnosis for interactive conjoint analysis system based on web-questionnaire. This diagnosis function gives the respondents a complete feedback of their preference and allows them to re-evaluate their preference. Based on the previously proposed system, this paper considers three kind of diagnosis based on attribute importance, consistency of respondent's evaluation and social norm comparison. This paper also describes potential scenario using the proposed function.