🗃️ 11 Principles for Building and Scaling Feature Flag Systems
🗃️ Feature Flag Migrations
📄️ A/B and multivariate testing
A/B testing is a type of randomized controlled experiment, where you test two different versions of a feature to see which version performs better. If you have more than two versions, it's known as multivariate testing. Coupled with analytics, A/B and multivariate testing enables you to better understand your users and how you can serve them better.