Interpret no significant difference from an experiment

Last updated: September 30, 2025

Quick Overview

An experiment shows conflicting results. What conclusions can you draw? What are the caveats?

Coinbase
Analytics & Experimentation
Product Manager
Coinbase
September 30, 2025
Product Manager
Take-home Project
Analytics & Experimentation
Medium

595

5

2,445 solved


An experiment shows conflicting results. What conclusions can you draw? What are the caveats?

Coinbase asks this during the Take-home Project 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
  • 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
Guardrail metrics
Sample size and power calculation
Metric definition and success criteria
A/B testing methodology
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 you discover a bug in the logging during the 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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Sample Answer
Defining the Analysis Framework

Start by framing the problem clearly: 1. **What question are we answering?** Be specific about the hypothesis or business question. 2. **What data d...

Analysis Approach

**Exploratory Analysis**: Start with aggregate trends, then segment by key dimensions (platform, country, user cohort, channel). Look for heterogeneou...


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