Calculate variance for user retention

Last updated: March 26, 2026

Quick Overview

Given the following scenario about user conversion, calculate the the sample size needed.

Robinhood
Analytics & Experimentation
Data Scientist
Robinhood
March 26, 2026
Data Scientist
Phone Screen
Analytics & Experimentation
Easy

16

4

4,590 solved


Given the following scenario about user conversion, calculate the the sample size needed.

Robinhood asks this during the Phone Screen to assess your experimentation skills. They want to see how you define success metrics, design controlled experiments, and interpret results with appropriate statistical rigor.

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
Network effects and interference
Novelty and primacy effects
A/B testing methodology
Guardrail metrics
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
  • 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?
  • How would you handle interference between treatment and control?
  • How would you handle an experiment where the control and treatment groups are different sizes?
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