Strategy question
How would you monetize Quora?
- Quora
- Strategy
- Medium
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What this question tests
Tests monetization thinking: can the candidate map a free content product's value exchange to revenue streams without wrecking the supply of answers.
How to approach it
- State Quora's value exchange: readers get free answers, answerers get reach and status, so any revenue model must protect both sides.
- Segment users into anonymous readers, registered askers and answerers, and topic experts or businesses who might pay directly.
- List levers: feed and native ads, a Quora+ ad free subscription, sponsored Spaces, and paid answer boosting for businesses.
- Weigh each lever's engagement risk, since ads cut dwell time and a paywall splits the community.
- Recommend a primary lever and explain why it fits Quora's scale versus a niche paid tier.
- Confirm with the interviewer whether B2B lead generation for businesses is in scope.
What a strong answer includes
- Anchors on Quora's actual model, feed ads plus Quora+, and argues for lifting revenue per user through better topic and intent targeting rather than more ad slots.
- Proposes a creator layer, paid Spaces or tipping, to retain top answerers who could otherwise post on Substack or X instead.
- Uses an illustrative assumption: if 5 percent of monthly actives take a 5 dollar subscription, that is durable recurring revenue that does not touch the free tier.
- Ties ad load to a frequency cap set against session length so revenue growth does not erode answer quality.
Common mistakes
- Jumping to more ads everywhere without segmenting who actually has willingness to pay.
- Forgetting that unpaid answerers are the product, so squeezing them too hard kills content supply.
Likely follow-up questions
- How would you find the ad load that maximizes revenue without hurting retention?
- What would convince a top answerer to pay for a premium tier?
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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 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop