Calculate how many users you need in experiments to detect meaningful differences and avoid declaring winners prematurely based on insufficient data.

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Definition

Sample size

Calculate how many users you need in experiments to detect meaningful differences and avoid declaring winners prematurely based on insufficient data.

Why this matters

Example 1

Example 2

Example 3

How to apply

Sample size

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.

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Experimentation