Product design question
How would you improve Google Meet?
- Product design
- Easy
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What this question tests
Product improvement sense for a mature tool: can you identify a real friction point in Google Meet rather than suggesting generic video call features.
How to approach it
- Segment users, assume this focuses on knowledge workers using Meet for daily internal meetings, the largest use case.
- Identify a real pain point: meeting fatigue and poor async follow up, since notes and action items get lost after the call ends.
- Prioritize this over minor UI polish, since it affects whether meetings actually produce outcomes.
- Design a feature: automatic AI generated meeting summary with action items sent to attendees, integrated with Google Docs and Tasks.
- Consider a second smaller improvement, like better background noise handling, but rank it below the summary feature.
- Define success as reduction in follow up meetings needed and action item completion rate.
What a strong answer includes
- Picks a workflow level problem, lost follow up, over a cosmetic one like backgrounds or filters.
- Ties the feature to Google's existing ecosystem, Docs and Tasks, which is a real distribution advantage.
- Uses an outcome metric, action items completed, not just feature usage.
Common mistakes
- Suggesting a feature Meet or Zoom already has without acknowledging that.
- Focusing on cosmetic changes instead of a workflow gap.
Likely follow-up questions
- How would this differ for external client calls versus internal meetings?
- What privacy concerns would an AI summary feature raise?
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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