Hey, what does a manual data source mean in experiment set up? We have a use case that we would like to try. Instead of having an existing experiment_id that links to the data source, we have a set of user_id that are in the buckets and want to see the experiment result based on the manual bucketing <- is there a way to analyse a test with this sort of set up?

With a manual data source, it will ask you to input the count, mean, and stddev for all the metrics manually instead of pulling them from your data source.

Not directly to the experiment table, but we could potentially find a workaround, like rather than writing directly to the experiment table, we can have a union query on another "pretend to be real experiment" table that have these user_id

how many user ids would it be? Like would it be feasible to have them in a giant

IN(...)

clause in a SQL query?