Product design question
How would you make WhatsApp more user-friendly for the elderly to use?
- Meta
- Product design
- Medium
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What this question tests
Inclusive design thinking: adapting a mainstream product for an underserved accessibility segment.
How to approach it
- Clarify the segment: elderly users with possible vision, dexterity, or tech literacy challenges.
- Identify pain points: small tap targets, unclear icons, and confusion around video calls or multiple chats.
- Prioritize legibility and simplicity, since cognitive load reduction matters more than adding new features for this group.
- Propose a simplified mode: larger text and buttons, fewer icons, and a single home screen with recent contacts.
- Add voice message and voice call shortcuts, since typing may be harder than speaking for some elderly users.
- Define success as increased message and call completion rate among users who opt into the simplified mode.
What a strong answer includes
- Names concrete accessibility barriers, small tap targets and icon ambiguity, rather than a vague 'make it simpler' answer.
- Proposes an opt in simplified mode rather than redesigning the whole app, which protects the experience for other users.
- Gives an illustrative number, e.g. assumes a 20 percent drop in failed taps after enlarging touch targets.
- Considers voice as an alternative input method, addressing both vision and typing difficulty in one solution.
Common mistakes
- Redesigning the entire app for elderly users instead of offering an opt in simplified experience.
- Not being specific about which physical or cognitive barriers are being addressed.
- No metric tied to actual usability improvement for this segment.
Likely follow-up questions
- How would you test this with real elderly users?
- Would this be opt in or the default for a detected segment?
- How would you avoid stigmatizing the simplified mode?
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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