Who Signed Up but Never Looked Around?

Kindled's growth team has a suspicion about the top of the funnel. Some people finish signing up, do nothing at all, and are never seen again — they never so much as look at a product — and if that group is large the problem is the first screen after signup rather than the ads bringing people in. Before anything can be fixed, the team wants the names.

The difficulty is that the evidence for this is an absence. The event log records the things people did; nobody writes a row saying "did not browse". So the answer is the set of signed-up users for which a particular kind of row is missing, and missing rows cannot be filtered for directly.

users — one row per signed-up person. source is the channel that brought them in.

events — one row per action a user took. event_type is the kind of action; each user's first row is their signup.

Both tables already exist in the database — there is nothing to create or load.

Task: Write a query returning a single column, name, holding every user with no view_product row anywhere in the event log. A user who viewed a product once and never returned does not qualify — one view is enough to be excluded. Hand the names back in alphabetical order.

Example output — shape only, on invented names.