Product design question

Design a Facebook news product.

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 design in a domain with high trust and misinformation risk, balancing engagement with responsibility.

Define the user: people who want quick, relevant news but are wary of misinformation and echo chambers on social platforms.
Identify the core tension: Facebook's algorithm optimizes for engagement, which can amplify sensational or misleading content over accurate news.
Prioritize source credibility and diversity of perspective in the ranking algorithm over pure engagement signals.
Design a feature: a news feed surface that shows credibility indicators and offers a 'see other perspectives' option for major stories.
Partner with fact-checking organizations and publishers for verified content flagging, rather than relying solely on user reports.
Define success metrics: trust survey scores and reduction in misinformation report rate, not just time spent.

Explicitly names the engagement-versus-accuracy tension as the central design challenge, not a side note.
Proposes a concrete trust mechanism, credibility indicators and cross-perspective links, grounded in real anti-misinformation approaches.
Gives an illustrative metric, e.g. improving self-reported trust scores by 15%, marked as an assumption.
Chooses trust and accuracy metrics over engagement time as the primary success measure, showing responsible prioritization.

Optimizing purely for engagement or time spent without addressing misinformation risk.
Proposing a generic news aggregator with no differentiated trust or credibility mechanism.

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