Because the decision net approach yields complex nets as its data points, there are no techniques for combining or analyzing this data. Several procedures for analyzing consumer decision nets are proposed. Techniques for examining purely structural properties, net efficiency, goodness of fit and grouping problems, and attribute importance are applied to decision nets.