About

This project analyzes event-level user interaction data from Zerve to understand which behaviors and workflows are most predictive of long-term user success.

Rather than focusing on numerical retention metrics or predictive modeling, the analysis interprets behavioral patterns such as action diversity, iterative workflows, and sustained multi-step engagement over time.

All insights are derived using Zerve’s AI-assisted analysis and documented within the project to ensure reproducibility and clarity.