Product design question
How would you design a colony on mars.
- PayPal
- Product design
- Hard
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Whether the candidate can handle an extreme, unconstrained prompt by imposing structure and picking a defensible, narrow scope.
How to approach it
- Reframe the prompt into a concrete scope, for example designing the life-support and habitat systems for the first 100 colonists, not the whole colony at once.
- Identify the users: the colonists themselves, split into roles such as researchers, engineers, and medical staff, each with different daily needs.
- Prioritize by survival first, then sustainability: air, water, food, radiation shielding, before amenities like recreation or private space.
- Propose a phased build: a sealed habitat module first, then closed-loop agriculture, then expansion modules, describing tradeoffs at each phase.
- Define success as sustained survival metrics (days of consumable reserve, system uptime) rather than colonist satisfaction alone at first.
What a strong answer includes
- Narrows an unbounded prompt into a concrete first phase instead of trying to design everything at once.
- Explicitly ranks survival needs above comfort needs, showing prioritization under extreme constraints.
- Notes a real tradeoff, such as shielding mass versus launch payload cost, as an assumption to validate with engineers.
Common mistakes
- Getting lost in science fiction details instead of applying a structured product framework.
- Failing to prioritize, treating recreation and life support as equally urgent.
Likely follow-up questions
- What would be your first success metric once the colony is operational?
- How would you decide what to launch in wave one versus later waves?
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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