ab-test-setup

version	4.1.0-fractal
name	ab-test-setup
description	Structured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.

A/B Test Setup

1️⃣ Purpose & Scope

Ensure every A/B test is valid, rigorous, and safe before a single line of code is written.

• Prevents "peeking"
• Enforces statistical power
• Blocks invalid hypotheses

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2️⃣ Pre-Requisites

You must have:

• A clear user problem
• Access to an analytics source
• Roughly estimated traffic volume

🧠 Knowledge Modules (Fractal Skills)

1. Hypothesis Quality Checklist

2. 3️⃣ Hypothesis Lock (Hard Gate)

3. 4️⃣ Assumptions & Validity Check (Mandatory)

4. 5️⃣ Test Type Selection

5. 6️⃣ Metrics Definition

6. 7️⃣ Sample Size & Duration