Product design question
How would you design a family wide photo sharing app? What about if someone in the family was vision impaired?
- Microsoft
- Product design
- Hard
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What this question tests
Inclusive product design across two related but distinct user needs: general family sharing and accessibility for vision impaired members.
How to approach it
- Define the primary users: extended families who want to share photos of kids or events without a public social feed.
- Name pain points: fragmented sharing across group chats, no single place with context like captions and dates, and overwhelming irrelevant photos.
- Design the core product: shared family albums organized by event or person, with simple invite and permission controls.
- For the vision impaired case, add screen reader support, and generate AI captions describing each photo's content aloud.
- Prioritize accurate captioning first, since a wrong description undermines trust in the whole accessible experience.
- Define success as weekly active family members viewing or contributing, and for the accessible flow, task completion rate via screen reader.
What a strong answer includes
- Treats accessibility as core design, not an add-on, by including audio captioning in the primary user flow from the start.
- Names a specific accessible feature: AI generated alt text read aloud, with a human correction option since automated captions can be wrong.
- Separates success metrics for the two audiences, since a vision impaired user's success looks like completed listening sessions, not scroll depth.
Common mistakes
- Bolting accessibility on as an afterthought instead of designing it into the core flow.
- Assuming automated image captions are accurate enough without a correction mechanism.
Likely follow-up questions
- How would you test the accessible flow with real vision impaired users?
- How would you handle a caption that is wrong or offensive?
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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