Growth Experiment Engine

What problem does it solve?

A/B testing and statistical decision-making for marketing, product, and content experiments, turning data into actionable insights while guarding against premature conclusions.

Core Features & Use Cases

• Create experiments with hypotheses, variants, and metrics; log data points for each cycle.
• Compute bootstrap confidence intervals and Mann-Whitney U significance to determine winners.
• Promote winning insights to a living playbook and inform next experiments.

Quick Start

Create a new experiment by defining the hypothesis, variable, variants, metric, cycle, and minimum sample to start tracking results.