Product design question
Design an innovative chat feature.
- 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 differentiated ideation within an extremely saturated category, requiring genuine novelty grounded in a real user pain point.
How to approach it
- Pick a specific Meta messaging surface and a specific underserved use case rather than chat in the abstract.
- Identify the pain point: group chats with many participants become noisy and hard to follow when planning a trip or coordinating an event.
- Design an AI-assisted thread summary and action-items feature that surfaces decisions and tasks from a long group chat, plus inline polls tied to a specific message.
- Prioritize the summary and action-item feature since group-chat overload is a widely felt, underserved pain point versus incremental sticker additions.
- Define success as reduced catch-up scrolling time, engagement on inline polls, and group chat retention.
What a strong answer includes
- Picks a genuinely underserved pain point, group chat information overload, rather than a superficial novelty like a sticker pack.
- Ties the AI-summary idea to a measurable proxy for the real problem, catch-up time, instead of vague engagement.
- Grounds the idea in one of Meta's actual messaging products rather than staying abstract.
Common mistakes
- Proposing surface-level novelty like new emoji or filter features that doesn't address a real underserved pain point.
- Not grounding the idea in one of Meta's actual messaging products.
Likely follow-up questions
- How would you ensure the AI summary is accurate enough that users trust it over reading the full thread?
- How would you handle privacy concerns with AI processing message content?
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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