Product design question

Design a product to choose cheese.

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Tests product sense on a whimsical, low-stakes prompt: scoping a niche discovery problem to specific users instead of overbuilding.

Clarify the user: someone shopping for cheese, in-store or online, unsure which cheese fits their meal or taste.
Segment users: novices who don't know cheese types, and enthusiasts who want pairing and origin detail.
Pick the primary job: narrow hundreds of options to 2-3 confident picks based on occasion, a cheese board, a recipe, or a wine pairing.
Propose a guided quiz: taste preference (mild to strong), texture, and use case, returning ranked recommendations with a short reason.
Address in-store discovery: a barcode or photo scan on packaging linking to the same recommendation engine.
Define success: recommendation-to-purchase conversion rate, and repeat-use rate among returning shoppers.

Narrows to novices as the primary segment since they carry the most unmet need, instead of designing for everyone equally.
Names a specific mechanism, a short taste and occasion quiz, instead of a vague recommendation engine.
Extends the idea to physical retail via scan, showing the answer isn't purely an e-commerce assumption.
Ties success to conversion, not quiz completions alone, which would be a vanity metric.

Treating this as a joke prompt and giving a shallow, unstructured answer.
Building a full catalog browsing experience instead of a decision-guiding tool that solves choice overload.

Chapters of the AI PM course that teach what this question tests.