Product design question
Design a product to solve the long process of making an appointment with doctors.
- Meta
- Product design
- Medium
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What this question tests
Product design addressing friction in a high-stakes booking process, balancing patients and providers.
How to approach it
- Define the user: a patient trying to book a timely appointment, often facing long hold times or limited visible availability.
- Identify the pain point: fragmented booking systems across providers with no unified, real-time availability view.
- Prioritize solving real-time availability and instant booking over adding unrelated telehealth features.
- Design a core flow: search by specialty and insurance, see real-time open slots across nearby providers, and book instantly with automated confirmations and reminders.
- Address provider-side adoption, since doctors' offices need low-friction integration with their existing scheduling systems to participate.
- Define success metrics: average time from search to booked appointment, and no-show rate reduction via automated reminders.
What a strong answer includes
- Identifies real-time cross-provider availability as the core unsolved problem, not just 'make a booking app.'
- Addresses the two-sided adoption challenge explicitly, since provider participation determines whether the product has any inventory.
- Gives an illustrative metric, e.g. cutting average time-to-book from 15 minutes of calls to under 2 minutes, marked as an assumption.
- Proposes automated reminders as a concrete lever against no-shows, a real cost problem for providers.
Common mistakes
- Designing only for the patient side and ignoring the harder provider-adoption problem.
- Proposing unrelated features like telehealth video instead of solving the core booking friction.
Likely follow-up questions
- How would you convince a small doctor's office to adopt this?
- How would you handle insurance verification within the booking flow?
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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