Product design question
Create a product for climate responsibility.
- Meta
- 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
Purpose driven product design, testing whether the candidate can turn a broad mission statement into a specific, measurable product.
How to approach it
- Clarify the target user: individual consumers wanting to reduce their footprint, or businesses needing compliance reporting.
- Identify a specific, tractable problem within climate responsibility, such as helping individuals reduce everyday carbon footprint.
- Identify the pain point: people want to act but lack clear, personalized, actionable guidance.
- Propose a solution: a tool that tracks personal carbon impact from purchases and suggests specific, achievable actions.
- Address credibility: partner with verified data sources so footprint estimates are trustworthy, not guesswork.
- Define success with sustained user engagement in taking suggested actions and a measurable footprint reduction over time.
What a strong answer includes
- Narrows the broad prompt, climate responsibility, into one specific, tractable product rather than an unfocused mission statement.
- Names the real barrier, lack of personalized actionable guidance, that keeps good intentions from becoming real behavior change.
- Addresses data credibility directly, since climate claims without verified sourcing quickly lose user trust.
- Sets an outcome based metric, measurable footprint reduction, rather than only engagement or download numbers.
Common mistakes
- Proposes a vague awareness or education app with no clear mechanism for real behavior change.
- Ignores the credibility problem, where inaccurate footprint estimates would undermine the entire product's trust.
Likely follow-up questions
- How would you verify the accuracy of the carbon footprint calculations?
- How would you monetize this without compromising its mission driven credibility?
- How would you keep users engaged after the initial novelty fades?
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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