Does anyone know what the appropriate type of statistical analysis would be if I wanted to try to discover groups of commonly used features?
Say I have a spreadsheet where the rows are users and the columns are "has used feature X in the past 30 days". How do I go from that to "there are three clusters of users who tend to use these distinct subsets of features"?
Clusters make a nice story, but you're going about it backwards. What are you trying to predict?
The scientific method suggests we create a hypothesis first, then design an experiment (or identify a natural experiment), then collect data, and finally perform a hypothesis test. Deviations from that process increase your risk of spurious results.
Say I have a spreadsheet where the rows are users and the columns are "has used feature X in the past 30 days". How do I go from that to "there are three clusters of users who tend to use these distinct subsets of features"?