Articles exploring stats-engine through the lens of behavioral science and experimentation. Practical frameworks for growth leaders who measure in revenue, not vanity metrics.
4 articles
Optimizely now offers three statistical engines: Sequential (Stats Engine), Frequentist Fixed Horizon, and Bayesian. Each one changes what you measure, how you decide, and when you can stop. Here's how to pick the right one for your team.
Most practitioners misread statistical significance as 'probability you're right.' It isn't. Here's what it actually means, why 95% is a convention not a law, how peeking kills your results, and how Optimizely's Stats Engine solves the classical problem.
Tuesday your experiment shows 94% confidence. Friday it's 71%. Nothing changed — so what's happening? Here's how to tell normal statistical fluctuation from novelty effect, regression to the mean, and actual drift.
Running 20 tests at 95% confidence means you expect at least one false positive by chance. Here's how Optimizely's FDR control works, what it doesn't protect against, and how to structure your testing program to minimize spurious wins.