Product design question
Improve Craigslist.
- Product design
- Easy
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What this question tests
Product improvement on a deliberately minimal, long standing product, testing whether the candidate respects its niche while fixing real friction.
How to approach it
- Identify the user: bargain hunters and local sellers who value Craigslist's simplicity, low fees, and local focus over polish.
- Name the core pain point: trust and safety, since Craigslist has long struggled with scams and unsafe in-person meetups for transactions.
- Propose a solution: an optional, lightweight identity verification and in-app messaging system that keeps phone numbers private while building buyer-seller trust, without adding heavy account requirements.
- Prioritize trust and safety over cosmetic redesign, since it is the most cited real world complaint about the platform and a barrier to more usage.
- Define success as reduction in reported scam incidents and increased completed transaction rate for listings that use in-app messaging.
What a strong answer includes
- Targets Craigslist's well known real weakness, trust and safety, rather than proposing an unnecessary full visual redesign.
- Keeps the fix lightweight and optional, respecting the platform's deliberately minimal, low-friction identity that longtime users value.
- Picks a concrete safety metric, reported scam incidents, that ties directly to the stated problem.
Common mistakes
- Proposing a complete redesign that ignores why users still choose Craigslist's simplicity over slicker competitors.
- Adding heavy account or verification requirements that would drive away users who value anonymity and low friction.
Likely follow-up questions
- How would you keep this optional without leaving unverified users at a disadvantage?
- Why do you think Craigslist has not already fixed this given how long the complaint has existed?
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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