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 qualitative issue being a branding issue, said method comprising; determining the N highest aspects of the issue and designating these as N Data Points; N being a number greater than 2 and less than 250; wherein said N highest aspects of the issue are determined by using an issue selection software program or module that presents a larger list of potential issues to said group, allows said users to individually select said N highest aspects of the larger list, and then in an iterative process presents the sum of the individual selections of said N highest aspects to said users, and allows for further rounds of issue editing and selection; using at least one software program running on at least one processor to: 1) 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 users 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, and where the diagonal cells of said group similarity matrix have a value that is equal to the total number of users multiplied by two; 4) use said group N×N similarity matrix and the transformation: −1*(X ij −maximum cell value), where X ij is value of row i and column j, i ε(1,N) and j ε(1,N), N is the total number of Data Points, 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 further associating an image and a title to each of said N Data Points, and showing said images and titles in any of said importance ranking user interfaces, similarity ranking user interfaces, or said diagram showing the relationship between said clusters; wherein said software is run on a network or Internet server computer or computing service, and said users interact with said server or service over one or more web browsers or Internet-enabled applications running on one or more computerized devices that are connected to said server or service over a local or long distance network connection.