Who is in the test

The spring test split all 34,000 weekly active users. 5,100 of them added a repeat bill and could see the suggestion; among them it raised recurring set-ups by +3 pp. Nobody else was affected. What is the effect across all users in the test, in percentage points?

Which enrollment trigger is right for a rerun of the “Make it recurring?” test?

Which Halves changes should be randomized by whole group rather than by user? Select all that apply.

A user-level test would need 6,735 users per variant. The group plan is randomized by group: average size m = 3, ICC = 0.15. How many users per variant does it need? Round up.

In a test randomized by group, you can analyze users as if each was randomized alone: 8,756 users give the same precision either way.

Plan who is in Theo's test in 3–5 sentences: the enrollment trigger, the unit of randomization and why, and what that choice means for the size of the test and its analysis.