Strategy question
A bike-sharing company is considering a freemium model. Should they do it or not?
- Strategy
- Hard
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What this question tests
Tests evaluating a monetization model shift for a physical, capital-intensive service, weighing unit economics against acquisition benefits.
How to approach it
- Clarify the current model, pay-per-ride or subscription, since freemium means something different depending on the baseline.
- Define what free would mean here, such as free rides under 15 minutes with paid overage, since bikes carry real fleet and maintenance costs unlike software.
- Weigh unit economics: each ride has real marginal cost from rebalancing, maintenance and depreciation, so any free tier must be tightly capped.
- Segment users into frequent, price-sensitive commuters, a good subscription target, and occasional tourists, better suited to pay-per-ride.
- Recommend a capped free tier as an acquisition tool rather than full freemium.
- Define success as conversion from free-tier users to paid subscribers and fleet utilization.
What a strong answer includes
- Correctly flags that freemium works differently for physical goods, since marginal cost per unit isn't near zero like software.
- Proposes a bounded free tier tied to time or distance instead of unlimited free access.
- Uses illustrative numbers as an assumption: assume $0.50 marginal cost per 15-minute ride, so a free tier needs a sponsor or ad subsidy.
- Flags a viable structure: sponsor-subsidized free rides as a way to offer free without eating pure margin.
Common mistakes
- Treating this like a software freemium decision and ignoring per-ride physical costs.
- Proposing unlimited free rides, which would break the unit economics.
- Not segmenting commuters from tourists, who need different offers.
Likely follow-up questions
- How would you fund a free tier without hurting margins?
- What abuse risks come with free rides, like bike hoarding?
- How would you measure whether freemium grew the total rider base or just shifted existing paying riders?
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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