Hypothesis testing

Structure experiments around clear predictions to focus efforts on learning rather than random changes and make results easier to interpret afterward.

B2B growth wiki illustration

Definition

Hypothesis testing

Structure experiments around clear predictions to focus efforts on learning rather than random changes and make results easier to interpret afterward.

Why this matters

Example 1

Example 2

Example 3

How to apply

Hypothesis testing

Key concepts and frameworks explained clearly. Quick reference when you need to understand a term, refresh your knowledge, or share with your team.

Playbooks

Read more in the growth playbook

Playbook

Experimentation

Random experiments waste time and budget. A structured framework ensures every test teaches you something, even when it fails. Decide what to test, design experiments properly, analyse results accurately, and share learnings so the whole team gets smarter.

See playbook
Experimentation