is that each metric is tied to the user identifier (or randomization unit) that you're using

if the metric is tied to, say, user_id, and the experiment is randomized by anon_id, we need some way to join between them

so that is why we have the join table, defined in the data source page

so you can either define a way to join between randomization units, or adjust the metric queries to return multiple identifier units