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
Practicing as: Product Growth Analyst interview at IntuitHi, I'll play your Intuit interviewer for the Product Growth Analyst role. Candidates describe these interviews as mixed and moderately difficult, so expect me to be professional and fair. Take your time with the question above and answer like we're in the room.
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