Stratafy.io Blog
Best A/B Testing Resources
Best resources anybody can use for A/B testing purposes
What Is Stratified A/B Testing?
A plain-English guide to why one average can hide a lot — and how stratification fixes it
A/B Testing Mistakes Segment-Level Data Would Catch
Five confident, statistically significant results that were quietly wrong — and how to spot them
When Should You Stratify Your A/B Test? (And When You Shouldn't)
Stratification adds real value in some situations and noise in others — here's how to tell which one you're in
How to Read a P-Value Without a Statistics Degree
The core idea behind p-values, framed the right way — no statistics background required
Stratified Sampling vs. Random Sampling in Experimentation
Random sampling is the default in A/B testing. Stratified sampling is the upgrade. Here's what you're actually trading off
5 Signs Your A/B Test Results Are Misleading You
A/B testing dashboards are good at showing you a winner — here's how to spot when that winner is an illusion
How Long Should You Run an A/B Test?
No universal number of days — but clear, practical guidelines that save you from stopping too early or running forever