Uber Analytics & Experimentation Interview Questions
Practice the exact questions companies are asking right now.
Determine Sample Size for Promotion Campaign A/B Test
A/B Test Design for a Threshold Discount Promotion Scenario A company plans to launch a threshold-based promotion (e.g., "20% off when spending $40")....
Analyze T2 Results and Recommend Launch Strategy
A/B Test Interpretation, Launch Decision, Segmentation, and Multi-Experiment Error Control Context You ran two A/B tests on an e-commerce platform: - ...
Evaluate Promotion Campaign Effectiveness with A/B Testing
A/B Testing a San Francisco–Only January Promotion Background A consumer marketplace app plans to run a January 2024 promotion limited to San Francisc...
Evaluate Rider-Incentive Program Impact with Key Metrics
Scenario You are designing an evaluation for a new rider-incentive program in a two‑sided ride‑hailing marketplace (riders request trips; drivers supp...
Measure Impact of Updated Rider ETA Algorithm
Scenario A ride-hailing company has updated its rider ETA-prediction algorithm (the ETA shown to riders before they request a trip) and wants to quant...
Evaluate Auto-Play Impact with Key Metrics and Experiment Design
Streaming Auto-Play Experiment: Metrics and Design Context A streaming platform is considering auto-playing the next episode to increase user engageme...
Evaluate Push Notification Impact on Rideshare Supply Shortages
Experiment Design: Push Notifications for Airport Surge Shortage Resolution Context When rider demand at the airport exceeds available driver supply, ...
Measure feature impact with switchback, PSM, and CACE
You work at a ridesharing company and want to measure the impact of a new membership feature on rides-per-user (RPU). Part A — Switchback experimentat...
Design metrics and A/B test for maps and ETA
Context You work on Uber’s driver app. Drivers can navigate using either Google Maps or Uber Maps. Separately, Uber shows riders an estimated time of ...
Design station experiment with interference and rush-hour spillovers
Experiment Design Under Interference for an In‑Station Ordering Pilot Context (Completed) You are evaluating two competing in‑station ordering feature...
Define ride success metric for Uber
Define a single primary metric for "Uber ride success" Design one primary, comparable metric for ride success across markets and cohorts. Provide: 1) ...
Explain and validate A/B test assumptions
A/B Test Validity: Core Assumptions, Violations, Diagnostics, and Mitigations You are designing and evaluating an online A/B test for a large, multi-s...
Estimate causal effect with interference
A/B Test With Noncompliance and Interference: Causal Effect of Surge Recommendations on Completed Trips Context You ran an A/B test that assigned some...
Choose between A/B and switchback for spillovers
Airport Driver-Queue Algorithm: Experiment Design and Causal Reasoning Background A new driver-queue algorithm is being tested at a single airport wit...
Design a switchback and choose block length
Switchback Experiment Design: Airport Pickup Pricing with Spillovers Context You are designing a switchback (time-based A/B) experiment for airport pi...
Measure driver experience quantitatively
Driver Experience Index (DEI) — Design, Validation, Debiasing, and Experimentation Context: You are a Data Scientist at a ride-hailing company. Define...
Define market-only rider experience metrics
Market-only Rider Experience Metrics and Market Balance Index (MBI) You are designing a metric suite for a rides marketplace where "rider experience" ...
Investigate ride declines and test free trials
LA Shared Rides Down 10% MoM — Diagnostic And Action Plan Context: The Los Angeles market is seeing a 10% month-over-month decline in completed rides ...
Design and power an incentive experiment
Experiment: Timing and Efficacy of Onboarding Benefits Context You operate a two-sided marketplace with supply-side candidates who often complete requ...
Design and Evaluate an Experiment on Surge
Experiment Design: Surge-Cap Algorithm for NYC (20:00–22:00) Context A new surge-cap algorithm is proposed to improve rider trip completion in NYC dur...