Product design question

You're a PM in charge of Robinhood's Option trading feature, how would you improve it?

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

Product improvement in a regulated fintech context: balancing usability improvements against the real risk of user harm.

Identify the user: retail traders using options, ranging from experienced traders to less experienced users drawn in by Robinhood's simple interface.
Name the core tension: Robinhood has faced real criticism and regulatory scrutiny for making risky options trading feel too easy for inexperienced users.
Propose an improvement: better in-context risk education and strategy-specific guardrails, for example confirming a user understands assignment risk before enabling complex multi-leg options.
Balance this against usability: guardrails should not be so heavy they push experienced traders to competitors, so tier friction by demonstrated experience and account activity.
Prioritize risk guardrails for inexperienced traders first, since this is both an ethical and regulatory priority, not just a UX nice-to-have.
Define success as reduction in accounts hitting margin calls or significant options losses shortly after account opening, alongside continued trading volume from experienced users.

Directly addresses Robinhood's known real world criticism, gamified trading UX contributing to inexperienced user losses, rather than proposing purely cosmetic features.
Proposes tiered friction based on experience, so the fix does not equally punish sophisticated traders who are the platform's most active users.
Picks a harm reduction metric, margin calls or rapid losses among new accounts, as success, not just engagement or trade volume.

Proposing only feature additions that increase trading activity without addressing known user harm risks.
Applying the same friction to all users regardless of experience level, which would hurt retention among sophisticated traders.

How would you balance regulatory pressure against user growth and engagement goals?
How would you identify which users are actually inexperienced without relying only on self reported data?