Overall, Optimizely Feature Experimentation moves towards a more simplified data model that combines feature flagging and experimentation more naturally. This section explains the key concepts of Feature Experimentation and the main differences from Full Stack.
In Full Stack, several overlapping but distinct methods exist for experimenting on and delivering targeted experiences to your end users. You are not alone if you have ever wondered whether to use an A/B test or a feature test. The Feature Experimentation approach consolidates those methods with an updated, simplified data model.
Updated 2 days ago