Product design question
How would you improve news sharing on Facebook?
- Meta
- Product design
- Easy
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
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What this question tests
Product improvement thinking on a feature with real misinformation and trust risk, requiring you to balance engagement with platform responsibility.
How to approach it
- Clarify scope, whether this is about the sharing mechanism itself or the surrounding trust signals, and confirm the target problem, low-quality sharing versus friction in sharing legitimate news.
- List pain points: users sharing without reading full articles, low visibility into source credibility, and friction around adding personal context when sharing.
- Consider the misinformation risk explicitly, since 'improve sharing' could easily mean 'increase spread of unverified content' if not scoped carefully.
- Propose the design: source credibility indicators shown at the point of sharing, combined with a lightweight prompt encouraging users to read before sharing on unopened articles.
- Prioritize the read-before-share friction point and credibility signal over simply making sharing faster, since faster sharing alone worsens the misinformation risk.
- Define success as share-to-read ratio improvement and reduced spread of flagged low-credibility content, not just raw share volume.
What a strong answer includes
- Explicitly names the misinformation risk of naively 'improving' sharing by making it faster or more frictionless, showing platform responsibility awareness.
- Proposes a concrete, specific mechanism, a gentle prompt when sharing an unread article, similar to patterns real platforms have tested.
- Balances engagement and trust by defining success as quality-adjusted sharing, not raw volume of shares.
- Ties the feature to a measurable guardrail, spread of flagged low-credibility content, showing responsible metric design.
Common mistakes
- Proposing to simply reduce friction and increase share volume without considering misinformation risk.
- Not mentioning any credibility or trust signal at all.
- Measuring success purely by share count, which rewards the wrong behavior.
Likely follow-up questions
- How would you balance reducing friction against increasing the spread of low-quality content?
- How would you evaluate whether the read-before-share prompt actually reduced misinformation spread?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop