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Designing a Personalization Experiment

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Problem

Scenario

You're evaluating a new recommendation idea on a product surface where users may see either the current experience or a personalized one. You need a simple, credible way to measure whether the new treatment improves user behavior.

Question

How would you design a simple experiment to test a new recommendation or personalization idea?

What this tests

  • Set up a basic randomized A/B test
  • Choose a primary metric and guardrails
  • Estimate sample size from baseline rate and target lift
  • Interpret lift with confidence intervals and significance