Design an A/B test for a pricing model

Last updated: December 1, 2025

Quick Overview

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

Shopify
Analytics & Experimentation
Data Scientist
Shopify
December 1, 2025
Data Scientist
Onsite
Analytics & Experimentation
Easy

21

6

3,468 solved


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

This analytics question from Shopify's Onsite tests your ability to think critically about data. The interviewer expects you to consider confounding variables, selection bias, and the difference between correlation and causation.

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
Segmentation and heterogeneous effects
Long-term vs short-term metrics
Sample size and power calculation
Simpson's paradox and ecological fallacy
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?
  • What would you do if a stakeholder wants to end the experiment early because initial results look good?
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Browse Analytics Questions
Sample Answer
Problem Setup

To evaluate the impact of a redesigned homepage on Shopify's pricing model, our analytical question is: "Does the redesigned homepage increase conversion rates among potential customers?" To answer th...

Methodology

We will implement a randomized controlled A/B test where users are randomly assigned to either the control or treatment group. For sample size calculation, we will use the formula for determining the ...


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