Product design question
Design an application for salons in the nearby areas. The solution should be like a marketplace for salon owners and consumers.
- Product design
- Medium
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What this question tests
Whether you can design a two-sided local marketplace balancing supply, discovery, and trust.
How to approach it
- Clarify scope: booking salon appointments nearby, covering both salon owners listing services and consumers discovering them.
- Segment users: salon owners needing bookings filled and visibility, consumers needing trustworthy options nearby with real availability.
- Identify the chicken-and-egg problem: consumers need enough salons listed to find value, salons need enough bookings to bother listing.
- Prioritize solving salon-side supply first, since a marketplace with no listings has nothing for consumers to discover.
- Propose a concrete MVP: a booking and discovery app with real-time slot availability, reviews, and a low-friction owner onboarding tool.
- Define success metrics: number of active salons per zip code and booking fill rate, with a guardrail on no-show rate.
What a strong answer includes
- Explicitly addresses the cold-start problem, prioritizing salon supply before broad consumer marketing.
- Ties discovery to a concrete trust signal, verified reviews and real-time availability, not just a listing directory.
- Gives an illustrative number, assuming a market needs roughly 15 to 20 active salons per zip code to feel useful.
- Names a guardrail, no-show rate, that would undermine salon owner trust in the marketplace if ignored.
Common mistakes
- Designing the consumer experience in detail while ignoring how salons get onboarded and stay active.
- Skipping the cold-start problem entirely, assuming both sides will simply show up.
Likely follow-up questions
- How would you solve the cold-start problem in a brand-new city?
- What would make a salon owner churn off the platform after signing up?
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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