1. A method of visualizing the collective opinion of a group regarding one or more qualitative issues, said group consisting of at least two or more users, said method comprising; determining the N highest aspects of the issue and designating these as N Data Points; using at least one software program running on at least one processor to: 1) optionally present at least one importance ranking graphical user interface to said users wherein said users may individually vote on the relative importance of said N Data Points; 2) present at least one similarity ranking graphical user interface to said users wherein said user may individually group said N Data Points into at least two categories of greater and lesser similarity, and construct an user N×N similarity matrix for each user; 3) compute a group N×N similarity matrix, where the contents of an individual cell of location i, j, in said group similarity matrix is a sum of the individual cell contents of location i, j, in each of said user N×N similarity matrices; 4) use said group N×N similarity matrix to analyze said N Data Points into clusters of greater and lesser similarity; 5) summarize said clusters as a graphical output, and display at least one diagram showing the relationship between said clusters.