i’m working this week on a Community Diagnostic, aimed to visualise a profile of a Community. The first iteration will have circa 100 questions, and is likely to be a rough affair, as it consolidates several earlier efforts. In these questions i am trying to do two things: firstly, to identify a range of views and, secondly, to calibrate between two responses to related questions.
For example, i will ask people if they feel they have enough time to participate in a specific community, but also ask them how they would rate the importance of ‘time’, ‘resource’, and ‘support’, as well as, separately, asking them if they believe that synchronicity of engagement is important for their community to be effective (essentially a function of time).
When i have a prototype version, i will run it with an open social cohort, and several Organisational ones, to test responses: i’m looking to identify which questions generate the broadest range of responses, as well as to generate data sets so that in subsequent versions i can move away from free text, and into lists.