Design an A/B test for a pricing model

Last updated: October 28, 2025

Quick Overview

Design an experiment to test the impact of new pricing tiers. Include sample size calculation, metrics, and analysis plan.

Twitter/X
Analytics & Experimentation
Product Manager
Twitter/X
October 28, 2025
Product Manager
Onsite
Analytics & Experimentation
Medium

472

10

2,376 solved


Design an experiment to test the impact of new pricing tiers. Include sample size calculation, metrics, and analysis plan.

Analytics questions at Twitter/X evaluate your ability to define metrics, design experiments, and derive actionable insights from data. This Onsite question tests your end-to-end analytical thinking.

What the Interviewer Expects
  • Design a rigorous experiment with proper randomization and sample size calculation
  • Define primary and guardrail metrics with clear rationale
  • Address novelty effects, network effects, and interference
  • Segment results appropriately and identify heterogeneous treatment effects
  • Propose follow-up analyses when results are ambiguous
Key Topics to Cover
Simpson's paradox and ecological fallacy
Long-term vs short-term metrics
Segmentation and heterogeneous effects
Network effects and interference
Novelty and primacy 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 seasonality in your experiment?
  • What if the experiment shows a positive short-term effect but you suspect a negative long-term impact?
  • What would you do if a stakeholder wants to end the experiment early because initial results look good?
  • What if you discover a bug in the logging during the experiment?
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Sample Answer
Problem Setup

To evaluate the impact of new pricing tiers on user engagement and revenue, we need to define our analytical question: **Does introducing new pricing tiers lead to a significant increase in user subsc...

Methodology

We will utilize an A/B testing framework to compare two groups: the control group (current pricing model) and the treatment group (new pricing tiers).

  1. Sample Size Calculation: Given a desired...

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