Content Experimentation Best Practices

Solid foundation for anyone running A/B tests on content who wants to avoid the usual statistical traps. Covers the full cycle from hypothesis formation and sample size calculations through statistical significance and interpretation. The 17 common pitfalls reference is genuinely useful, the kind of thing you'd want open when explaining to a PM why their test needs to run another week. Includes practical CMS integration patterns for managing variants at the field level. Best suited for teams moving past "let's just try this and see what happens" toward structured experimentation. The statistical foundations section will save you from p-hacking yourself into bad decisions.