Product design question

How would you design an app that helps consumers find Happy Hours?

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

Product design for a local discovery app, requiring a clear monetization-aware value proposition for consumers and businesses.

Segment users: young professionals looking for after-work deals and groups planning a night out, the core happy-hour audience.
Identify the pain point: happy hour info is scattered across bar websites and inconsistent, hard to discover in real time.
Prioritize real-time, location-based discovery, since timing is the key differentiator over a general review app.
Design the solution: a live map showing nearby active happy hours with deal details, sourced from bar partners updating their own listings.
Add a business-side incentive: free listing plus paid promotion for bars wanting to fill slow hours, aligning monetization with real value.
Define success: check-ins or redemptions at listed happy hours, plus bar partner retention.

Centers the design on real-time relevance, whether it is happy hour right now nearby, the key gap in generic review apps.
Proposes a realistic data sourcing model, bar partners self-updating, rather than assuming perfect data exists.
Ties monetization to genuine business value, filling slow hours, not a bolted-on ad model.
Uses redemptions, not just app opens, as the success metric, tying to real business outcomes for bars.

Ignoring how happy hour data would actually be sourced and kept current.
Designing a static list rather than emphasizing real-time relevance.
Not addressing the two-sided nature and differing incentives of consumers and bars.

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