Problem
Scenario
You're planning an experiment on a product surface and need to decide how much traffic to allocate and how long to run it. You want the test to be sensitive enough to detect a meaningful lift without running longer than necessary.
Question
How do you determine the right sample size and test duration for an A/B test?
Example Inputs
Alpha·0.05Power·0.80Absolute MDE·0.6 percentage pointsTraffic split·50/50Baseline conversion·12.0%Daily exposed users·50,000Target relative lift·5.0%
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