Strategy question
How would you triple revenue for Medium in five years?
- Medium
- Strategy
- Hard
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
Monetization strategy for a content platform with a niche but loyal base, requiring realistic, sequenced levers rather than a wish list.
How to approach it
- State Medium's current core revenue: the Membership subscription, paying writers via the Partner Program based on member reading time.
- Identify the main lever: growing the subscriber base and increasing ARPU, since Medium's model is subscription first, not ad driven.
- Propose growing subscriber base via better free to paid conversion, with smarter paywall timing based on demonstrated engagement.
- Propose a secondary lever: expanding into writer tooling monetization, competing with Substack on newsletter features.
- Sequence over 5 years: near term conversion optimization, mid term writer tooling monetization, long term B2B offerings.
- Define success: subscriber growth rate, ARPU, and writer retention, since writer quality drives reader subscriptions.
What a strong answer includes
- Correctly frames Medium as subscription first, not ad driven, and builds the strategy around that actual model.
- Names writer retention as a key lever, since quality content is what drives reader subscriptions, a two sided dynamic.
- Sequences a realistic path instead of an unordered idea list.
Common mistakes
- Proposing an ad based monetization strategy, which conflicts with Medium's actual subscription model and reader experience.
- Ignoring the writer side of the marketplace, which sustains reader subscriptions.
Likely follow-up questions
- How would you increase writer retention specifically?
- What would you do if subscriber growth stalled despite these changes?
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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