Classic Uber estimation and I still fumbled it a bit.
Start by clarifying the scope (global vs. specific market, time period, and what counts as a 'ride'). Then use a top-down approach: estimate Uber's user base, segment by frequency, and multiply to get monthly rides. Alternatively, use a bottom-up approach based on driver supply or city-level data, but top-down is usually simpler.
Pro tip: Anchor your estimate with a known metric (e.g., Uber's reported trips per quarter) and adjust for growth or seasonality. This shows you can leverage real data and think like a product manager.
Ask clarifying questions to define the scope: global or specific region? Include Uber Eats? What time period? This ensures you're solving the right problem.
Decide between top-down (user-based) or bottom-up (driver-based) estimation. Top-down is often easier: estimate total users, then average rides per user per month.
Break users into meaningful segments (e.g., riders vs. drivers, frequent vs. infrequent users, geographic regions) to improve accuracy. For example, separate occasional riders from daily commuters.
Assign reasonable numbers to each segment (e.g., 100M monthly active riders, 10% ride daily, 50% ride weekly, etc.) and compute total rides. Use round numbers for simplicity.
Validate your estimate against known data (e.g., Uber's reported 2B trips per quarter) and adjust assumptions if needed. Acknowledge potential errors and state your confidence level.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.