Product design question

Design a payments feature for YouTube creators to better monetize live streams.

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Whether the candidate can design a monetization feature that balances creator earnings, viewer experience, and platform take rate.

Define the target creator segment: mid-size live streamers who already have an engaged but not massive audience.
Identify pain points: unpredictable earnings during a stream, viewers wanting to support in the moment, and creators wanting less platform friction than third-party tools like StreamElements.
Prioritize a solution: a native Super Chat style paid highlight or tipping flow integrated into live chat, with a clear on-screen shoutout for payers.
Address platform economics: a take rate (for example 70/30 split favoring creators) and payout latency as key design constraints.
Define success as incremental creator revenue per stream and repeat viewer payment rate, not just one-time novelty spend.

Names a specific mechanic (paid pinned chat message, tiered tipping) rather than a vague call to add monetization.
Addresses viewer trust, such as capping how often paid messages interrupt the stream to avoid feeling like spam.
Ties the take rate decision to creator retention risk, since a rate perceived as too high pushes creators to competitors.

Ignoring the risk of pay-to-be-seen features drowning out organic chat.
Not addressing payout speed, which matters more to smaller creators than to large ones.

Chapters of the AI PM course that teach what this question tests.