Product design question
How would you design Google Photos for West Africa?
- Product design
- Hard
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What this question tests
Tests localized product design: adapting a product to a region's real infrastructure and usage constraints rather than assuming global defaults.
How to approach it
- Identify the region specific constraints: lower average smartphone storage, costly mobile data, and intermittent connectivity in much of West Africa.
- Define the core user need: safely storing and organizing photos despite limited local device storage.
- Propose adaptations: aggressive on device compression, offline first sync that batches uploads on Wi-Fi or cheap data windows, and a lightweight app size.
- Address payment and data cost sensitivity, since mobile data is a real cost constraint for the target user.
- Define success: percentage of users with successful backups despite low connectivity, not just raw uploads.
- Confirm with the interviewer whether the focus is urban smartphone users or a broader feature phone inclusive audience.
What a strong answer includes
- Names the concrete constraint, expensive mobile data and limited storage on common budget Android devices, and designs around it rather than assuming unlimited Wi-Fi.
- Proposes a data aware sync mode that uploads only over Wi-Fi by default, with a clear low data warning before cellular uploads.
- Suggests local partnerships with mobile carriers for zero rated data on backups, similar to Facebook's Free Basics approach.
- Sets a success metric tied to backup completion rate under real network conditions, not just app installs.
Common mistakes
- Assuming reliable broadband or unlimited data plans that do not reflect the region's actual infrastructure.
- Designing a feature heavy app that ignores storage and performance limits of common local devices.
Likely follow-up questions
- How would you measure success if connectivity data itself is unreliable to collect?
- What would you do differently for feature phone users without a full Photos app?
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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