Causal Inference, Data Analysis, Experiment, Data Science, Data Visualization.
prevent contamination between each group (control vs treatment), and disturbing the equilibrium which means there is a possibility if we improve a specific product in our platform it might affect the other similar product negatively, we can not always use A/B testing as a method to be done before