Product design question
How would you improve the WhatsApp Search feature?
- Meta
- Product design
- Easy
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What this question tests
Product improvement sense for a high scale, privacy constrained search feature: can you improve WhatsApp Search while respecting end to end encryption limits.
How to approach it
- State the constraint upfront: WhatsApp is end to end encrypted, so server side indexing of message content for search is not possible, all search happens on device.
- Identify the pain point: current search is largely limited to exact keyword matches within a chat, making it hard to find things like a shared document or a specific date range conversation.
- Prioritize on device improvements: better fuzzy matching for typos, and filtering by message type (media, links, documents) alongside keyword search.
- Propose a second improvement: searching across all chats at once with results grouped by chat, rather than needing to search chat by chat.
- Consider date and context filters, since users often remember roughly when something was shared more than the exact words used.
- Define success as search success rate, meaning the user finds what they were looking for without repeating the search with different terms.
What a strong answer includes
- Explicitly respects the encryption constraint, correctly ruling out server side content indexing as an option.
- Focuses on on device improvements like fuzzy match and cross chat search, which are realistic within that constraint.
- Uses search success rate, an outcome metric, rather than raw search volume.
Common mistakes
- Proposing server side AI search over message content, which breaks WhatsApp's end to end encryption promise.
- Measuring success by number of searches performed rather than whether they actually succeeded.
Likely follow-up questions
- How would you build fuzzy or semantic search without processing content off device?
- How would you prioritize this against other privacy sensitive features?
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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