Abstract: A computerized method of visualizing the collective opinion of a group regarding one or more qualitative issues. The group initially selects N issues from the universe of potential issues and often assigns the issues images and titles. The system presents each user with graphical user interface screens wherein individual users vote on the relative importance and degree of relationship between the N aspects (Data Points) and issues, often using drag and drop methods. The software computes N×N similarity matrices based on users voting input and clusters various aspects into groups of greater and lesser similarity and importance, and presents results of users qualitative ranking in easy to read relationship tree diagrams where the relative importance and qualitative relationship of the issues may be designated by size and other graphical markers. The software may reside on a network server and present display screens to web browsers running on user's computerized devices.

Abstract: A computerized method of visualizing the collective opinion of a group regarding one or more qualitative issues. The group initially selects N issues from the universe of potential issues and often assigns the issues images and titles. The system presents each user with graphical user interface screens wherein individual users vote on the relative importance and degree of relationship between the N aspects (Data Points) and issues, often using drag and drop methods. The software computes N×N similarity matrices based on users voting input and clusters various aspects into groups of greater and lesser similarity and importance, and presents results of users qualitative ranking in easy to read relationship tree diagrams where the relative importance and qualitative relationship of the issues may be designated by size and other graphical markers. The software may reside on a network server and present display screens to web browsers running on users computerized devices.