Explain difference-in-differences with an example

Last updated: April 23, 2026

Quick Overview

Explain difference-in-differences in simple terms and provide a concrete example.

DE Shaw
Analytics & Experimentation
Product Manager
DE Shaw
April 23, 2026
Product Manager
Phone Screen
Analytics & Experimentation
Medium

13

3

1,757 solved


Explain difference-in-differences in simple terms and provide a concrete example.

DE Shaw 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
  • 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
Novelty and primacy effects
Metric definition and success criteria
Guardrail metrics
Funnel analysis and cohort analysis
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 if the experiment shows a positive short-term effect but you suspect a negative long-term impact?
  • How would you handle an experiment where the control and treatment groups are different sizes?
  • How would you handle interference between treatment and control?
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