Customer Obsession in a Three-Sided Marketplace (Uber Culture)

Customer obsession at Uber has a structural twist that generic versions of the value miss: almost every product decision touches at least two customers with partially opposed interests. Riders want short waits and low prices; drivers and couriers - who are earners, not employees, and can open a competitor's app in four seconds - want high utilization and fair pay; merchants want reliable pickup times and order accuracy. Uber's post-2017 values made customer obsession explicit ('we build globally, we live locally' sat beside it), and the later 'Go Get It' era kept the same center of gravity: sweat the experience of the people who move and are moved. The engineering consequence is that single-metric optimization is usually a bug - an ETA improvement that increases driver deadhead miles hasn't improved the marketplace; it has moved cost from a side you measured to a side you didn't. Interviewers therefore listen for multi-sided instincts. When you tell a customer-impact story, do you name who all the affected parties were and how each experienced your change? Have you ever caught a metric win that was actually a stakeholder loss? Do you understand your least-visible customer - in Uber's case, interviewers are notoriously alert to candidates who talk fluently about riders and have never once considered the earner experience. They also probe the 'live locally' half: marketplaces behave differently in Jakarta, São Paulo, and Phoenix, and candidates who assume their home market generalizes are showing exactly the blind spot the value exists to prevent. Strong answers quantify impact per side, describe deliberately visiting the other side's experience (riding along, doing deliveries, reading driver forums), and treat balance as the objective. Weak answers optimize a dashboard.