Answer:
Correlation versus Causation.
Step-by-step explanation:
These concepts can be said to have/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 user behaviour, it is said that 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.