We have an Airtable base which has grown organically over the course of many years, including a number of different users. The main table now has nearly 350 columns, many of which are no longer being used, but it’s not clear exactly which. Similarly, there are hundreds of views that have been created over the years.
We’re looking for a way to audit which columns are used (i.e. which columns contain data which have been modified in the last few months) and which views are used within the organisation.
We can obviously survey our users, but we’re wondering if there are any clever tricks for inferring this information?