I jumped straight into supply-demand balancing and surge pricing adjustments, which in hindsight felt too obvious.
Start by clarifying the scope and constraints of large-scale events, then break down the pickup/drop-off experience into key stages: pre-event, during event, and post-event. Identify pain points for riders and drivers, prioritize solutions based on impact and feasibility, and propose a mix of short-term operational fixes and long-term product innovations.
Pro tip: Emphasize the importance of driver incentives and real-time communication, as these are often overlooked but critical for smooth operations during high-demand events. Also, consider partnerships with event organizers and local authorities to create designated zones and share data.
Ask clarifying questions to understand event specifics (e.g., venue type, duration, expected attendance) and Uber's current capabilities. Define success metrics such as wait time, driver utilization, and rider satisfaction.
Break down the pickup/drop-off experience into phases: before, during, and after the event. Identify pain points for both riders (e.g., long walks, confusion) and drivers (e.g., traffic, difficulty finding riders).
Brainstorm potential improvements across technology, operations, and partnerships. Prioritize based on impact, effort, and alignment with Uber's goals. Consider quick wins and long-term bets.
Outline how to implement top solutions, including necessary resources, timeline, and cross-functional collaboration. Define how to measure success and iterate based on feedback.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.