Product design question
How would you improve Fiverr app?
- Fiverr
- 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 improvement thinking on a two sided freelance marketplace, balancing buyer trust and seller discoverability.
How to approach it
- Confirm the goal: buyer conversion, seller earnings, or trust and quality on the platform.
- Segment users: buyers unsure which freelancer to trust versus sellers struggling to get discovered among many similar listings.
- Identify the pain point: buyers face decision paralysis from too many similarly rated gig listings.
- Prioritize improving buyer decision confidence, since it is the more immediate revenue blocking friction.
- Propose a feature: short video introductions from sellers shown directly in search results.
- Define success with search to order conversion rate and buyer reported confidence in their hire.
What a strong answer includes
- Targets a specific, well known friction in gig marketplaces, decision paralysis among similar listings.
- Proposes a concrete feature, short seller video intros in search results, not a vague 'better matching'.
- Sets a clear metric, search to order conversion rate, tied directly to the proposed change.
- Balances the two sides of the marketplace by also considering how the change affects seller discoverability.
Common mistakes
- Redesigns the whole app with no single, clear focus.
- Ignores how the change affects sellers, focusing only on the buyer side.
Likely follow-up questions
- How would you encourage sellers to actually create these video intros?
- How would you measure if this change increased buyer satisfaction after the gig was delivered, not just at booking?
- How would this differ for a high price service versus a very cheap one?
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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