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Explain and test completion-rate gaps

Last updated: May 29, 2026

Quick Overview

This question evaluates understanding of causal inference, product-metrics analysis, experimental design, and statistical hypothesis testing (including two-sample t-tests) as applied to operational problems in a marketplace.

  • easy
  • Uber
  • Machine Learning
  • Machine Learning Engineer

Explain and test completion-rate gaps

Company: Uber

Role: Machine Learning Engineer

Category: Machine Learning

Difficulty: easy

Interview Round: Technical Screen

In a food delivery marketplace, alcohol-related orders have a lower order completion rate than non-alcohol orders. Answer the following: 1. Propose several plausible business or operational reasons for why alcohol orders may have lower completion rates. 2. Describe what additional data you would inspect to validate those hypotheses. 3. Suppose the company launches a simple randomized intervention to improve completion. Explain how you would evaluate the effect using a two-sample t-test. Include the null hypothesis, alternative hypothesis, assumptions, the test statistic at a high level, and how you would interpret the result. You do not need to use a time-area switchback design for this question.

Quick Answer: This question evaluates understanding of causal inference, product-metrics analysis, experimental design, and statistical hypothesis testing (including two-sample t-tests) as applied to operational problems in a marketplace.

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|Home/Machine Learning/Uber

Explain and test completion-rate gaps

Uber logo
Uber
Mar 9, 2026, 12:00 AM
easyMachine Learning EngineerTechnical ScreenMachine Learning
23
0

In a food delivery marketplace, alcohol-related orders have a lower order completion rate than non-alcohol orders.

Answer the following:

  1. Propose several plausible business or operational reasons for why alcohol orders may have lower completion rates.
  2. Describe what additional data you would inspect to validate those hypotheses.
  3. Suppose the company launches a simple randomized intervention to improve completion. Explain how you would evaluate the effect using a two-sample t-test. Include the null hypothesis, alternative hypothesis, assumptions, the test statistic at a high level, and how you would interpret the result.

You do not need to use a time-area switchback design for this question.

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