Computer Systems, Methods, and Components for Overcoming Human Biases in Subdividing Large Social Groups into Collaborative Teams

Humans have collaborated in both small and large groups for thousands of years, sometimes achieving great feats for the good of all mankind. However, most groups have failed to achieve greatness, often because of poor group “chemistry” and/or because of missing skills or insights. These problems typically arise because group organizers build groups using human mental processes that suffer from social, racial, gender, ethnic, or other unconscious biases. To reduce impact of these biases and help organizers form more effective groups or teams, the present inventors have devised, among other things, an exemplary system that subdivides a group of user data structures into subgroups, based on similarities between electronic surveys and/or other data types, such as social media and network analysis data types. The system further includes user interfaces for creating surveys, implementing user preferences regarding subgroup membership and sizes, controlling the subdivision process, and displaying the subgroups.