The zero-post users thing is what gets you.
Start by clarifying the schema and definitions: DAU is a user with active flag = 1 on the given date, and posts are 'post' events from the composer table on that date. Then compute the numerator as the total count of post events per country, and the denominator as the count of distinct DAUs per country, ensuring users with zero posts are included. Finally, divide the numerator by the denominator for each country and present the average posts per DAU.
Pro tip: Explicitly state that you will use a LEFT JOIN from the DAU table to the post events table to preserve users with zero posts, and mention that you will handle potential duplicate post events by counting distinct event IDs or using a pre-aggregated subquery.
Confirm that DAU is defined by the active flag on the given date, and that only 'post' events from the composer table count. Also clarify whether a user can have multiple posts and how to handle duplicates.
Filter the composer events table for the specific date and event_type = 'post', then group by country and count the number of post events (or distinct post IDs) to get the numerator.
Filter the user activity table for the specific date and active = 1, then group by country and count distinct user IDs to get the denominator.
Join the two aggregated results on country, ensuring that countries with DAUs but zero posts are included (e.g., using a LEFT JOIN from DAU counts to post counts). Compute the average as total posts divided by total DAUs per country.
Check for anomalies such as countries with zero DAUs, and consider rounding or formatting. Present the final metric clearly, noting any assumptions made.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.