Product design question
Make a product to help people buy and sell homes.
- Meta
- Product design
- Easy
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Product sense for a two-sided, high-stakes, low-frequency marketplace.
How to approach it
- Clarify buy-side or sell-side focus, and whether this sits inside an existing platform or stands alone.
- Pick a segment, e.g. first-time buyers who feel overwhelmed by the process.
- Identify pain points: trust in listings, understanding neighborhood value, coordinating viewings.
- Propose features like verified listing badges, price-history transparency, and scheduling tools.
- Prioritize trust and verification first, since fraud is the top home-buying fear.
- Define a success metric, e.g. percent of inquiries that convert to a scheduled viewing.
What a strong answer includes
- Chooses a specific user (first-time buyer, or a casual seller) rather than 'people'.
- Names the marketplace's cold-start tension: too few sellers means buyers churn, and addresses which side to seed first.
- Gives a concrete trust feature, e.g. ID-verified sellers or agent reviews, since home transactions are high fraud risk.
- Picks a funnel metric (inquiry-to-viewing rate) over a vanity metric like page views.
Common mistakes
- Designing generic listing and search features without addressing trust, the core home-buying anxiety.
- Not acknowledging the marketplace's chicken-and-egg supply problem.
Likely follow-up questions
- How would you get the first sellers onto the platform in a new city?
- What would you do differently for the sell side versus the buy side?
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More questions from Meta
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