I started with the user problem which felt right, but I spent too long on rider personas and the interviewer nudged me toward the matching logic pretty early.
Start by clarifying the goal and constraints, then segment users and define the core value proposition. Structure your answer around user needs, product design, system components, and pricing, while highlighting trade-offs and success metrics.
Pro tip: Emphasize the importance of liquidity and density in shared rides—without enough riders in a given area, the product fails. Show you understand that matching algorithms and dynamic pricing are critical to balance supply and demand.
Ask questions to understand the objective (e.g., reduce cost, increase occupancy, environmental impact) and constraints (e.g., existing infrastructure, regulatory, budget).
Identify target users (e.g., daily commuters, event-goers, budget travelers) and their pain points (cost, reliability, convenience).
Outline key features: ride matching, dynamic pricing, pickup/drop-off points, in-app communication, and safety measures.
Discuss backend algorithms for matching and routing, supply management, and integration with existing platforms.
Propose a pricing model (e.g., discounted flat rates, surge pricing) and revenue streams (commission, subscriptions).
Define success metrics (e.g., match rate, cost savings, retention) and plan for A/B testing and iteration.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.