Estimate the revenue opportunity if Uber improves conversion in Driver App

Problem Statement Description

Product context: Uber is a mobility and delivery platform; its products include rides, Uber Eats, grocery and retail delivery, freight, driver and courier tools, and marketplace pricing.

Uber wants to understand the revenue opportunity from improving conversion in the Driver App. In this context, the Driver App is the core workflow for earners who sign up, complete onboarding, go online, evaluate trip or delivery offers, and complete paid work across Uber’s mobility and delivery marketplace.

The estimate should focus on how a conversion improvement could translate into incremental completed trips, gross bookings, and Uber revenue. The candidate should make a clear choice about which conversion step they are estimating—such as applicant-to-activated driver, activated driver-to-first trip, online driver-to-accepted request, or accepted request-to-completed trip—and explain why that step is commercially meaningful.

This is a guesstimate, so the emphasis is not on exact company data. The candidate should build a structured, defensible sizing model using reasonable assumptions, especially around driver population, activity levels, trip frequency, marketplace constraints, take rate, and whether incremental supply creates incremental demand or simply redistributes trips.

The experience should consider:

- The specific Driver App conversion funnel being improved and the unit of conversion being measured

- Relevant driver segments, such as new applicants, recently activated drivers, casual earners, full-time drivers, or price-sensitive earners

- Geographic scope, such as one large market, the U.S., or global Uber mobility and delivery operations

- Baseline population size, current conversion rate, and assumed improvement magnitude

- How improved driver conversion affects supply availability, completed trips, cancellations, wait times, and marketplace liquidity

- Revenue mechanics, including gross bookings, Uber take rate, incentives, and incremental contribution versus gross revenue

- Sensitivity of the estimate to key assumptions like driver activity frequency, trips per active driver, average fare, and demand elasticity

- Sanity checks to avoid double-counting existing demand or assuming unlimited rider/order growth

The goal is to produce a clear revenue-opportunity estimate with transparent assumptions, a logical calculation path, and an explanation of the biggest drivers of uncertainty.