Product design question
At your startup, you want to build a product to help people discover wine. What do you do?
- Meta
- Product design
- Hard
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What this question tests
Early-stage product thinking: validating a problem and scoping a lean first version before building broadly.
How to approach it
- Define the user: a wine-curious but intimidated buyer who doesn't know how to choose confidently without expert vocabulary.
- Identify the pain point: existing wine discovery (ratings, expert reviews) uses jargon that doesn't map to a casual buyer's actual taste preferences.
- Prioritize a simple taste-preference quiz and plain-language recommendation engine over building a full e-commerce or expert-review platform.
- Design a lean first version: a short onboarding quiz translating everyday taste descriptors into wine recommendations available at common retailers.
- Validate demand with a small test group before investing in inventory, partnerships, or a full app build.
- Define success metrics: recommendation-to-purchase rate and repeat quiz usage.
What a strong answer includes
- Identifies jargon as the specific barrier for casual buyers, not just 'people don't know about wine.'
- Proposes a lean, testable first version (a quiz plus recommendations) appropriate for a startup's limited resources.
- Gives an illustrative metric, e.g. 20% of quiz-takers purchasing a recommended bottle, marked as an assumption.
- Explicitly sequences validation before larger investment, showing startup-appropriate resource discipline.
Common mistakes
- Proposing a full-scale platform with inventory and partnerships before validating basic demand.
- Ignoring the specific jargon barrier and defaulting to a generic 'wine app' idea.
Likely follow-up questions
- How would you validate demand before building anything?
- How would you differentiate from existing wine apps like Vivino?
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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