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.

Tesla
Analytics & Experimentation
Data Scientist
Tesla
December 1, 2025
Data Scientist
Phone Screen
Analytics & Experimentation
Hard

4

4

4,830 solved


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

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

What the Interviewer Expects
  • Design complex experimentation strategies for tricky scenarios
  • Handle multi-armed bandits, switchback experiments, and quasi-experiments
  • Address long-term effects vs short-term metrics
  • Propose causal inference methods when randomization is not possible
  • Build a measurement framework that connects metrics to business value
  • Discuss organizational experimentation culture and maturity
Key Topics to Cover
Funnel analysis and cohort analysis
A/B testing methodology
Segmentation and heterogeneous effects
Sample size and power calculation
Metric definition and success criteria
Network effects and interference
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
  • What if the experiment shows a positive short-term effect but you suspect a negative long-term impact?
  • How would you handle seasonality in your experiment?
  • How would you handle interference between treatment and control?
  • 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

The analytical question is: What is the impact of a redesigned homepage on the conversion rate of Tesla vehicle purchases? To answer this, we will need data on user interactions with the current h...

Methodology

We will conduct a classic A/B test where users will be randomly assigned to either the control group (current homepage) or the treatment group (redesigned homepage). The key metrics to focus on in...


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