Calculate variance for user retention

Last updated: January 23, 2026

Quick Overview

Given the following scenario about revenue per session, calculate the the sample size needed.

Compass
Analytics & Experimentation
Data Scientist
Compass
January 23, 2026
Data Scientist
Take-home Project
Analytics & Experimentation
Easy

8

2

4,744 solved


Given the following scenario about revenue per session, calculate the the sample size needed.

Analytics questions at Compass evaluate your ability to define metrics, design experiments, and derive actionable insights from data. This Take-home Project question tests your end-to-end analytical thinking.

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
Sample size and power calculation
Novelty and primacy effects
Metric definition and success criteria
Simpson's paradox and ecological fallacy
Network effects and interference
Long-term vs short-term metrics
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 if you discover a bug in the logging during the experiment?
  • What if the experiment shows a positive short-term effect but you suspect a negative long-term impact?
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