Product design question
Create a way to sell movie tickets on Facebook.
- Meta
- Product design
- Medium
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What this question tests
Tests product design for a transactional commerce feature bolted onto a social platform, weighing native checkout convenience against dependency on third-party ticketing data.
How to approach it
- Clarify scope: in-feed and Events-integrated ticket purchase for movies, not a full standalone ticketing platform.
- Identify the user: someone who sees a movie mentioned by friends or on an Events page and wants to buy tickets without leaving Facebook.
- Identify the core job: browse showtimes for a chosen theater and complete purchase in as few taps as possible.
- Propose a Buy Tickets button on movie Pages and Events, pulling real-time showtime and seat data via partnerships with providers like Fandango, checkout via Facebook Pay.
- Address the build-versus-partner trade-off: partnering avoids rebuilding theater inventory systems but ties reliability to partner APIs.
- Define success: purchase conversion rate from the Buy Tickets button, and social share rate of purchased tickets driving friend co-attendance.
What a strong answer includes
- Chooses partnership over rebuilding theater inventory, a realistic build-versus-buy call for a transactional feature.
- Ties the feature to Facebook's existing surfaces, Events and Pages, instead of inventing a standalone flow.
- Names Facebook Pay as the checkout mechanism, grounding the design in an actual existing capability.
- Proposes a social metric, co-attendance via shares, reflecting the platform's real advantage over standalone ticketing apps.
Common mistakes
- Proposing to build full theater seat-inventory systems from scratch instead of partnering.
- Ignoring that Facebook's edge here is social discovery and co-attendance, not raw transaction volume.
Likely follow-up questions
- How would you handle a theater partner with stale or unreliable showtime data?
- How would you monetize this beyond a per-ticket fee?
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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