Estimation, modeling, and aggregation of missing survey data for prioritizing customer voices

► Approach to handle missing & incomplete data in ranking VoC using multiple surveys. ► Pragmatic rules to estimate missing data as intervals using relevant voices' data. ► New nonlinear models to convert respondent level survey data to criteria intervals. ► Automotive case study in which three surveys & multiple criteria are used to rank VoC.