Practice PM product strategy and MVP planning across peer-to-peer lending, airport layover assistance, and a Meta AR/VR lab offering. The solution defines users, jobs to be done, value propositions, MVP scope, North Star metrics, validation plans, regulatory and safety risks, and rollout mitigations.
##### Question
For each scenario, craft a product strategy and MVP:
Peer-to-peer lending and borrowing.
Helping travelers during airport layovers.
A new offering from Meta’s AR/VR lab.
##### Hints
Clarify target users, core value proposition, success metrics, and rollout risks for each case.
Overview: Practice PM product strategy and MVP planning across peer-to-peer lending, airport layover assistance, and a Meta AR/VR lab offering. The solution defines users, jobs to be done, value propositions, MVP scope, North Star metrics, validation plans, regulatory and safety risks, and rollout mitigations.
hardProduct ManagerOnsiteProduct / Decision Making
12
0
Product Strategy and MVP Prompt: Three Product Design Scenarios
You are interviewing for a PM role. For each scenario below, craft a product strategy and MVP plan:
Peer-to-peer lending and borrowing.
Helping travelers during airport layovers.
A new offering from Meta's AR/VR lab.
For each scenario, include:
Target users and core jobs to be done.
Core value proposition.
Success metrics, including a North Star and key input metrics.
Rollout and key risks with mitigations.
MVP scope and validation plan.
Constraints & Assumptions
Treat each scenario as separate unless you state shared assumptions.
Make regulatory, trust, safety, privacy, and operational risks explicit.
Keep MVP scope narrow enough to validate the riskiest assumptions.
Include metrics that reflect user value, not just signups.
Clarifying Questions to Ask Guidance
Which scenario should I answer first or in most depth?
Are we optimizing for consumer growth, revenue, marketplace liquidity, safety, or platform learning?
What geography, regulatory environment, and target user segment should I assume?
Should the AR/VR idea be consumer, creator, enterprise, social, or developer-focused?
Part 1 - Peer-to-Peer Lending and Borrowing
Design a product strategy and MVP for peer-to-peer lending and borrowing.
Standalone variant: this part can also come as a full round of its own, built around a borrowing and lending idea that is still loose, so you first decide what gets lent, to whom and why people would use it. The round has two steps: first show how you would check that the idea is worth pursuing (the evidence you need, how you would gather it, and which results would make you stop), then explain how you would build it once it passes.
What This Part Should Cover Guidance
Borrower and lender segments.
Trust, underwriting, KYC/AML, regulatory, collections, and fraud considerations.
Value proposition for borrowers and lenders.
MVP scope, risk controls, success metrics, rollout, and validation.
Part 2 - Airport Layover Travelers
Design a product to help travelers during airport layovers.
What This Part Should Cover Guidance
Traveler segments and jobs such as rest, food, navigation, rebooking, baggage, local experiences, and disruption handling.
Core product experience and partner ecosystem.
MVP scope focused on one or two high-frequency pain points.
Metrics for engagement, conversion, satisfaction, and operational reliability.
Part 3 - Meta AR/VR Lab Offering
Design a new offering from Meta's AR/VR lab.
Standalone variant: this part can also come as a full round with a wider brief. You are the PM who owns Meta's metaverse effort and you choose what to build from anywhere in that space (headsets and their social worlds, avatars, mixed reality, smart glasses): name the goal and the users you would serve, the problem you would solve for them, and how you would tell whether it works.
What This Part Should Cover Guidance
Target users and use case.
Why AR/VR creates unique value versus mobile or web.
MVP features, privacy/safety concerns, hardware constraints, and social interaction design.
Success metrics and rollout.
What a Strong Answer Covers Guidance
A strong answer separates the three scenarios, defines users and jobs clearly, proposes a focused MVP for each, and addresses the biggest risks before scaling.
Follow-up Questions Guidance
What is the riskiest assumption in each scenario?
Which scenario has the highest regulatory risk?
How would you test demand before building?
What would you deliberately exclude from each MVP?
Which North Star Metric would you defend most strongly?