Optimizing User Behavior through Behavioral Science Experiments

The chapter explores how system two tests can outperform system one tests, using examples like the success of pop-up entry based on A/B testing despite user dislike. It discusses identifying conscious and intuitive user types to run experiments catered to each. The ethical considerations of behavioral experiments, leveraging biases, nudges, and choice architecture for optimal outcomes are also covered.