Product design question
Design a product to improve group communication on WhatsApp.
- Meta
- 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 for a core communication feature, identifying friction in group coordination at scale.
How to approach it
- Identify the core friction point in large groups, such as important messages getting buried in high volume chat activity.
- Prioritize a targeted improvement, like threaded replies or pinned message highlights for key updates in busy groups.
- Explain the mechanism, allowing users to reply to a specific message and view that sub thread without scrolling through everything.
- Address adoption, ensuring the feature is discoverable but does not add complexity for smaller, simple groups.
- Define a success metric, such as reduced missed message complaints or increased engagement in large groups specifically.
What a strong answer includes
- Names a specific, common large group pain point, buried important messages, rather than a vague better group chat answer.
- Proposes a targeted mechanism, threaded replies, that directly solves the identified problem.
- Considers the trade off of adding complexity for small groups, showing awareness that not all users need this.
Common mistakes
- Proposing a feature that adds complexity to every group chat regardless of size or need.
- Ignoring how this feature should be scoped or optional to avoid overwhelming casual users.
Likely follow-up questions
- How would you make this feature discoverable without cluttering small group chats?
- How would you measure whether this actually reduces missed messages?
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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