Correlation and causality can seem deceptively similar. But recognizing their differences can be the make or break between wasting efforts on low-value features and creating a product that your customers can’t stop raving about.
In this piece we are going to focus on correlation and causation as it relates specifically to building digital products and understanding user behavior. Product managers, data scientists, and analysts will find this useful for leveraging the right insights for product growth, such as whether certain features impact user retention or engagement.