Product design question
Design an app that helps a museum make money.
- Product design
- Medium
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What this question tests
Product design for a nonprofit-adjacent revenue problem, requiring a monetization-first mindset within a museum's specific context.
How to approach it
- Segment users: in-person visitors who could spend more during their visit, and remote audiences who never visit but might still pay for value.
- Identify the pain point: museums under-monetize visitor engagement beyond ticket price, missing membership and repeat-visit revenue.
- Prioritize in-person visitors first, since they already have intent and presence, the easier opportunity to capture.
- Design the solution: an in-app guided tour with premium content, deeper curator commentary, as an add-on purchase, plus a membership upsell at a high-engagement moment.
- Add a secondary revenue stream: a virtual version of premium tour content sold to people who can't visit in person.
- Define success: incremental revenue per visitor attributable to the app.
What a strong answer includes
- Segments in-person versus remote audiences and picks in-person first with clear reasoning about capturing existing intent.
- Proposes a concrete monetization mechanism tied directly to what a museum can uniquely offer.
- Times the membership upsell at a high-engagement moment, a thoughtful conversion design detail.
- Uses incremental revenue per visitor as a direct, business-relevant success metric.
Common mistakes
- Designing a generic museum information app with no clear monetization mechanism.
- Ignoring existing revenue streams that any new feature should complement, not cannibalize.
- Not defining a measurable revenue outcome.
Likely follow-up questions
- How would you avoid cannibalizing existing ticket or membership revenue with this app?
- How would you price the premium content?
- How would you measure whether the app increases visitor satisfaction, not just spend?
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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