Product design question
Design a Facebook product for charitable giving.
- Meta
- Product design
- Hard
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
Tests product design in a trust-sensitive category where fraud prevention matters as much as growth.
How to approach it
- Pick a user: someone donating in response to a friend's post or a crisis event, not a proactive browser.
- Identify the pain: uncertainty about where money goes and friction in giving in the moment.
- Decide the core mechanic: an in-feed donate button tied to vetted nonprofit fundraisers, like existing birthday fundraisers.
- Prioritize trust features, verified nonprofit status and fee transparency, over growth features like leaderboards.
- Design the flow: one-tap donate from a friend's fundraiser post, with a receipt and impact update after.
- Define success as completed donation rate per fundraiser view and repeat-donor rate, not fundraisers created.
What a strong answer includes
- Anchors on Meta's real existing mechanic and finds the actual gap instead of inventing from scratch.
- Leads with trust and verification, since fraud is the biggest risk in charitable giving.
- Picks a success metric tied to real impact, completed donation rate, not vanity shares.
Common mistakes
- Ignoring fraud and verification risk entirely.
- Designing a feature that duplicates existing Meta fundraiser tools without a real gap.
Likely follow-up questions
- How would you vet nonprofits to prevent fraud?
- How would you handle a viral crisis event spike in donations?
- What would you do if a fundraiser turned out to be fraudulent after donations came in?
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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