Practical guides on experiment planning, statistical methods, and conversion rate optimization frameworks.
Learn the exact formula and inputs needed to calculate the right sample size for your A/B test. Covers baseline rate, MDE, significance, power, and common mistakes.
Learn how to use the ICE scoring framework (Impact, Confidence, Ease) to prioritize your A/B test backlog. Includes scoring examples and common pitfalls.
The definitive guide to A/B test duration. Learn why minimum runtime matters, how to calculate it, and the costly mistakes teams make by stopping too early.
A step-by-step guide to writing structured, testable A/B test hypotheses using the If/Then/Because format. Includes 10 real examples across industries.
How to run meaningful A/B tests with limited traffic. Strategies for small sites including higher-funnel testing, qualitative methods, and sequential testing.
What is MDE, how to choose the right one, and why it's the most important parameter in your A/B test setup. Practical guide with examples and trade-off analysis.
How to apply Robert Cialdini's 6 principles of persuasion — reciprocity, commitment, social proof, authority, liking, and scarcity — to improve conversion rates.