This one pulled me in two directions at once.
Start by clarifying the goal: is this about expanding access in emerging markets or competing with local players? Then structure your answer around a hypothesis-driven framework that weighs user needs, business impact, and operational feasibility, and conclude with a recommendation and success metrics.
Pro tip: Acknowledge the trade-offs between cash and digital payments, and propose a pilot in a specific market to test assumptions before scaling. This shows you're data-driven and risk-aware.
Ask if the goal is to increase market share in cash-heavy regions, improve rider acquisition, or match competitor offerings. This ensures you solve the right problem.
Consider rider segments (e.g., unbanked, tourists) and driver preferences. Evaluate market-specific factors like payment infrastructure and regulatory environment.
Estimate potential increase in rides, revenue, and market share. Weigh against costs: cash handling, reconciliation, security risks, and potential cannibalization of digital payments.
Assess driver willingness, cash logistics, fraud risk, and technical integration. Determine if Uber can execute efficiently without degrading experience.
Propose a pilot in a high-potential market with clear metrics (e.g., ride completion rate, driver adoption, cost per transaction). Outline a rollout plan based on results.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.