Product design question
Design an app for new college graduates for investing in the stock market . They don’t know how to and where to invest and how the app can be helpful.
- Product design
- Medium
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What this question tests
Tests product design for financial novices, focused on identifying the real barrier, confidence not access, and designing for trust and low-stakes learning.
How to approach it
- Define the target: recent grads with a first paycheck, little investing knowledge, and general anxiety about losing money.
- Identify the core pain point: they don't know how much to invest, in what, or whether it's safe, more than they lack a brokerage account.
- Prioritize education and guided defaults over advanced trading tools this segment won't use.
- Design goal-based onboarding, such as saving for a house versus long-term growth, with low-minimum diversified portfolios and plain-language explainers before each trade.
- Add trust-building elements: fee transparency, a paper-trading demo mode, and small automatic recurring investments like round-ups.
- Define success as first-investment completion rate and 90-day retention, not downloads.
What a strong answer includes
- Anchors on the real barrier for this segment, having money but not confidence, rather than assuming it's an access problem.
- Recommends defaults over choice paralysis: a pre-set diversified ETF portfolio a user can accept in one tap.
- Uses illustrative numbers as assumptions: assume 60% of users invest under $50 first, so minimums must be near zero.
- Flags the regulatory reality that this is a brokerage, so KYC, disclosures and suitability rules constrain onboarding.
Common mistakes
- Designing for sophisticated traders with charts and options when the audience needs education first.
- Ignoring compliance requirements around investment advice and account opening.
- Measuring success by downloads instead of completed first investments.
Likely follow-up questions
- How would you handle a user who wants to put their whole paycheck into one stock?
- What's your monetization model for a low-balance user base?
- How do you keep users engaged between paychecks?
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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