Link - https://docs.google.com/document/d/1C27arcnnlSyeHYKwNKRxqjzrIc2h1B04TmYZdmKVxOo/edit?usp=sharing

Guide to A/B Testing: A Framework

As product leaders, we often hear "let's run an A/B test" thrown around in meetings. However, successful A/B testing requires methodical planning, clear communication, and rigorous execution. In this guide, I'll walk you through a battle-tested framework that ensures your experiments deliver meaningful insights and drive product success.

1. Establishing Clear Goals and Purpose

Before diving into any A/B test, ask yourself: What specific metric are we trying to move? Your goal should align with key business metrics like:

Pro tip: If you can't articulate the goal in a single sentence, you're not ready to run the test.

2. Crafting a Strong Hypothesis

Your hypothesis should follow this structure: "We believe that [change] will result in [outcome] because [reasoning]."

Example hypotheses:

3. Understanding Your User Segments

This critical step often gets overlooked. You need to: