About

Understanding what drives long-term user success on a data platform is critical for improving engagement, retention, and product adoption. However, raw event data alone does not clearly reveal which behaviors and workflows lead to meaningful outcomes.

This project aims to identify the key behavioral patterns and usage signals that predict user success using event-level interaction data.