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Design Experiments for Email Campaign & Messaging Update

LinkedInData Scientist · Onsite
HardData ScientistOnsiteAnalytics & Experimentation

Last updated

Evaluates experiment design for concurrent email and in-product messaging launches with possible interaction effects. Strong answers use factorial designs, power calculations, interaction terms, sequential testing, and guardrails.

Scenario: Marketing is running an email campaign while Product ships a new messaging function; you must test both.

Question 1: How would you design experiments to isolate each feature’s effect while accounting for potential interaction?

Question 2: Detail how you would calculate sample size, statistical power, and test duration.

Question 3: Discuss strategies for handling interaction effects, such as factorial or staggered rollouts.

Question 4: Explain considerations for sequential testing and maintaining statistical validity.