We propose an extension of Importance Performance Analysis for the comparative analysis of subpopulations, applied to the job satisfaction of graduates of the University of Padua. The analysis is based on the contemporaneous representation of the aspects observed on different subpopulations over the same chart adopted for the whole-population analysis. This representation method practically adds a third dimension to the IPA graph. The contemporary view of the relative positions of the subpopulations may help in isolating disadvantaged subpopulations and guessing cause-and-effect relationships between subpopulation characteristics and aspects' position in the chart. Hence, we can guess proposals for orienting policy decisions and interventions.