Estimation question
A company has launched a new drug that eliminates the need for sleep. How would you price this drug?
- Estimation
- Hard
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What this question tests
Pricing reasoning based on value created for the customer rather than cost plus pricing.
How to approach it
- Estimate the value created, eliminating eight hours of sleep gives roughly a 50 percent increase in usable waking hours a day.
- Estimate what an hour of a target customer's time is worth, for example $30 to $50 an hour for a professional segment.
- Multiply extra hours by value per hour to estimate daily value created, then decide what share of that value the price should capture.
- Consider segmentation, since willingness to pay differs for high earners versus general consumers, and choose an initial target segment.
- Propose a price point and format, priced to capture a modest fraction of the value created, while noting health and regulatory cost.
What a strong answer includes
- Anchors price to value created, for example eight extra hours times $40 an hour equals $320 a day in potential value, then prices at a small fraction of that, say $20 to $40 a day, to leave value on the table for adoption.
- Segments by customer type, launching with premium professional users before considering mass market pricing.
- Flags the real constraint beyond pricing math, this is a drug requiring safety and regulatory approval, which affects both cost and achievable price.
Common mistakes
- Pricing based on manufacturing cost alone, ignoring the value created.
- Ignoring health, safety, and regulatory realities of a sleep elimination drug entirely.
- No segmentation, treating all potential buyers as having the same willingness to pay.
Likely follow-up questions
- How would you price this differently for a subscription versus a one time dose?
- What research would you need before setting a final price?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop