Product design question
How would you improve Facebook Live?
- 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 for a live video feature, addressing both broadcaster and viewer sides of a real-time content product.
How to approach it
- Identify the two sides: broadcasters going live (individuals, creators, or public figures) and viewers watching, often arriving mid-stream.
- Name pain points: viewers who join late lack context on what has happened, and broadcasters get limited real-time feedback beyond a live comment stream.
- Propose a solution: a quick recap or highlight reel auto-generated for viewers who join a stream already in progress, and better real-time analytics for broadcasters (viewer count trends, comment sentiment).
- Prioritize the late-joiner recap first since viewer drop-off from confusion is likely the highest-leverage, most common friction point in live video.
- Define success as average watch time for viewers who join mid-stream and stream completion rate.
What a strong answer includes
- Targets the specific, well known live video pain point, late joiners lacking context, rather than a generic 'improve live video' statement.
- Balances both sides of the live experience, giving broadcasters better real-time feedback tools alongside the viewer-facing fix.
- Picks mid-stream join watch time as a precise, measurable proxy for whether the recap feature actually helped.
Common mistakes
- Focusing only on the broadcaster experience while ignoring the more common viewer pain point of joining late.
- Proposing changes that increase production complexity for casual, non-professional broadcasters who make up most live streams.
Likely follow-up questions
- How would you generate an accurate recap in real time without heavy manual production?
- How would you measure if broadcasters found the new analytics actually useful?
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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