AbTestSetup

What problem does it solve?

Design and analyze experiments to produce reliable, actionable results from A/B tests and other controlled experiments.

Core Features & Use Cases

• Hypothesis-driven test design: structure experiments with clear, testable predictions.
• Comprehensive test types: supports A/B, A/B/n, Multivariate Test (MVT), and split URL testing for various scenarios.
• Metrics planning and sample size: guidance on primary/secondary metrics and statistical power calculations to determine needed sample sizes.
• Run and interpret results: pre-launch checklists, significance assessment, and actionable interpretation for decision-making.

Quick Start

Define your hypothesis and choose a test type to start planning your A/B test.