Product design question
Design an investment strategy app.
- Meta
- Product design
- Medium
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
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What this question tests
Product design for a domain requiring trust and simplicity, testing how the candidate balances financial complexity against accessibility.
How to approach it
- Clarify the target user: a novice investor intimidated by traditional brokerage apps versus an experienced trader.
- Identify the core job: helping a novice build confidence to start investing without feeling overwhelmed.
- Identify the pain point: existing apps expose too much complexity and jargon too early for a first time investor.
- Prioritize a guided onboarding path that starts with simple, goal based investing before exposing advanced tools.
- Propose features like risk based portfolio suggestions and plain language explanations of every recommendation.
- Define success with onboarding completion rate and first deposit conversion rate.
What a strong answer includes
- Targets a specific segment, novice investors, rather than trying to serve both beginners and experts equally.
- Names a real, well documented barrier, jargon and complexity, that keeps first time investors from starting.
- Proposes a concrete mechanism, goal based guided onboarding, instead of a vague 'simplify the UI' answer.
- Sets a funnel metric, first deposit conversion rate, tied directly to the actual business outcome that matters.
Common mistakes
- Designs a feature rich app aimed at experienced traders, missing the stated goal of an investment strategy app for broader use.
- Ignores the regulatory and trust requirements inherent in a financial product.
Likely follow-up questions
- How would you handle the regulatory disclosures required for investment advice?
- How would you build trust with a first time investor who is naturally risk averse?
- How would this app differentiate itself from Robinhood or Betterment?
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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