AB Test Setup helps an agent design and plan statistically valid, actionable A/B tests, split tests, and multivariate experiments. It structures the process by establishing a clear hypothesis, testing a single variable at a time, selecting appropriate primary and secondary metrics, and defining traffic allocation. Reach for it when the user wants to plan an experiment, formulate a testing hypothesis, calculate sample sizes, or implement structured conversion rate optimization tests.
Key Features
Structured hypothesis framework
Sample size and traffic allocation guidelines
Pre-launch checklist and results analysis workflow
Privacy & Security
Data Collection
This tool follows industry-standard security practices and only collects data necessary for functionality.