About

This project analyzes Zerve user event data to identify which behaviors and workflows drive long-term success. By transforming raw interaction logs into user-level insights, it reveals that early code execution, active engagement with AI tools, and broader feature exploration are strongly associated with successful outcomes, providing actionable guidance for improving user experience and retention.