Product design question
Design a simple video conferencing application like Zoom.
- Amazon
- Product design
- Medium
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
Baseline product sense for a well-understood collaboration product category.
How to approach it
- Clarify target segment: enterprise teams, casual social calls, or education.
- Pick a segment, e.g. small business teams needing reliable daily meetings.
- Identify pain points: connection reliability, meeting fatigue, and difficulty sharing or collaborating live.
- Propose reliable low-latency video and audio, screen sharing with annotation, and async recording or summary.
- Prioritize reliability first, since it's the baseline trust requirement for any video product.
- Define success as call completion rate without drops, and weekly active meeting minutes.
What a strong answer includes
- Picks a specific segment rather than trying to serve every possible video-call use case.
- Names reliability and call quality as the top priority, since it's a baseline trust requirement, not a differentiator.
- Adds an async layer, recordings and summaries, addressing meeting fatigue, a well-known real pain point.
- Picks a reliability metric alongside usage, not usage alone.
Common mistakes
- Focusing only on fun or novel features while ignoring baseline reliability, the actual trust factor.
- Not picking a specific segment, resulting in a generic, undifferentiated feature list.
Likely follow-up questions
- How would you differentiate this from existing established video conferencing tools?
- How would you handle scaling to very large meetings, 100 or more participants?
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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