Home Loan App Product Design: Pick a User, Map the Journey, Set Metrics
Company: Meta
Role: Product Manager
Category: Product Design & Strategy
Difficulty: medium
Interview Round: Other
Design a mortgage app. Choose whom it serves, identify the problems it should solve along the home-loan process, decide what to build first, and explain how you would measure success.
```hint Walk the loan timeline
A mortgage unfolds over weeks, from working out a budget to closing, followed by years of payments. Find the stage where your chosen user faces the most uncertainty or delay.
```
### Clarifying Questions
- Is the app for borrowers, for lenders and their loan officers, or for both sides of the same loan? Is that choice mine?
- Are we a lender that originates the loans, or a marketplace that connects borrowers with lenders?
- Which market and which loans: home purchases, refinancing or both, and in which country?
- Should the app also cover the life of the loan after closing, such as monthly payments?
### What a Strong Answer Covers
- A deliberate choice between borrowers, lenders and loan officers, and the business model behind the app
- The mortgage journey mapped into stages, with the pain points that matter most for the chosen user
- Prioritized features that remove those pain points, and what stays manual or human
- A north-star metric with guardrails for loan quality, fraud and compliance
- Risks specific to lending: sensitive financial data, fair-lending rules, fraud and rate swings
### Follow-up Questions
- How would the design change if you built for loan officers at a small lender instead of borrowers?
- Mortgage rates rise sharply and purchase applications slump. How should the product and its roadmap respond?
- How would you keep personalized nudges and offers from steering borrowers in ways that break fair-lending rules?
Overview: A product design question asking the candidate to design a mortgage app. It tests choosing between borrowers and lenders, mapping the home-loan journey from budgeting to closing, prioritizing features against the worst pain points, and defining success metrics with guardrails for loan quality, fraud and compliance.