Good session recordings give a deep insight into user behavior and patterns.
Unfortunately, analyzing session recordings are also one of the most time consuming and problematic tasks when it comes to analyzing them systematically, especially if you have a very large set of session recordings.
In this article, I will show you how you can identify user patterns from session recordings. In particular, we will use clustering methods that group similar behavior together in order to find out what kind of sessions tend to look similar from a certain point on in time, e.g.: “Do users sharing similar behavior x before page y always share different behavior z after page y?”