Product design question
How can you improve Google Meet for the elderly?
- Intuit
- 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.
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What this question tests
Accessibility-focused product design for an underserved segment, distinguishing tech unfamiliarity from sensory decline.
How to approach it
- Clarify the segment further: elderly users with limited tech familiarity versus those with vision or hearing decline.
- Identify pain points: complex meeting links and codes, small UI targets, unclear speaker identity, and fear of 'doing it wrong'.
- Propose features: one-tap join via a simple link or phone call-in, larger text and controls, automatic captions, and a visual speaker indicator.
- Prioritize simplifying the join flow first, since it's the biggest drop-off point.
- Define success as percent of elderly-flagged sessions that complete without a support call.
- Note how you'd test assumptions with real elderly users rather than guessing.
What a strong answer includes
- Distinguishes tech unfamiliarity from sensory decline as two different problems needing different fixes.
- Names a concrete simplification, e.g. a single large 'Join' button reachable with no app install.
- Adds captions and speaker highlighting as concrete accessibility features, not vague 'make it easier'.
- Chooses a completion or support-call metric that reflects real friction, not just usage counts.
Common mistakes
- Treating 'elderly' as one uniform group instead of separating tech comfort from sensory needs.
- Redesigning the whole product instead of focusing on the highest-friction step, joining.
Likely follow-up questions
- How would you test this with actual elderly users rather than assumptions?
- What would you measure to know the feature is actually helping, not just used?
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More questions from Intuit
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