Design an A/B test for a new checkout flow

Last updated: December 24, 2025

Quick Overview

Design an experiment to test the impact of a redesigned homepage. Include sample size calculation, metrics, and analysis plan.

Zoom
Analytics & Experimentation
Product Manager
Zoom
December 24, 2025
Product Manager
Technical Screen
Analytics & Experimentation
Easy

13

5

3,873 solved


Design an experiment to test the impact of a redesigned homepage. Include sample size calculation, metrics, and analysis plan.

Analytics questions at Zoom evaluate your ability to define metrics, design experiments, and derive actionable insights from data. This Technical Screen question tests your end-to-end analytical thinking.

What the Interviewer Expects
  • Define clear success metrics aligned with business goals
  • Propose a basic experimental design with control and treatment groups
  • Interpret results correctly and draw reasonable conclusions
  • Identify obvious confounding variables
Key Topics to Cover
Guardrail metrics
Funnel analysis and cohort analysis
Sample size and power calculation
Long-term vs short-term metrics
Segmentation and heterogeneous effects
How to Approach This
  1. Define success metrics carefully. A good metric is measurable, actionable, and aligned with business goals.
  2. Run experiments long enough to account for novelty effects and weekly seasonality.
  3. Use funnel analysis to identify where users drop off for maximum optimization impact.
  4. Segment results by key dimensions (platform, country, user cohort) to catch hidden patterns.
  5. Consider network effects and interference between treatment and control groups.
Possible Follow-up Questions
  • How would you handle interference between treatment and control?
  • What if you discover a bug in the logging during the experiment?
  • How would you handle an experiment where the control and treatment groups are different sizes?
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Sample Answer
Problem Setup

The analytical question we need to address is: "What is the impact of the redesigned homepage on the conversion rate of users completing the checkout process?" To effectively analyze this, we need to ...

Methodology

For this A/B test, we will randomly assign users into two groups: a control group that sees the current homepage and a treatment group that sees the redesigned homepage. We will use a two-sample propo...


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