Calculate expected value for A/B test results

Last updated: January 25, 2026

Quick Overview

Given the following scenario about user conversion, calculate the the p-value.

Zoom
Analytics & Experimentation
Product Manager
Zoom
January 25, 2026
Product Manager
Phone Screen
Analytics & Experimentation
Medium

23

3

1,189 solved


Given the following scenario about user conversion, calculate the the p-value.

Analytics questions at Zoom 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 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
Long-term vs short-term metrics
A/B testing methodology
Novelty and primacy effects
Network effects and interference
Guardrail 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 an experiment where the control and treatment groups are different sizes?
  • What would you do if a stakeholder wants to end the experiment early because initial results look good?
  • How would you handle interference between treatment and control?
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Sample Answer
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