About

Predicting, Explaining, and Optimizing Long-Term Success on Zerve

The User Success Intelligence Engine is an end-to-end predictive and prescriptive AI system designed to uncover which user behaviors truly drive long-term success on Zerve.

Rather than relying on simple correlations, this system:

📊 Defines a composite Success Score based on retention, workflow depth, reproducibility, deployment activity, and upgrade signals

Uses machine learning models to predict a user’s probability of long-term success

🔍 Applies explainability techniques (e.g., feature importance and SHAP) to identify why certain users succeed

🎯 Incorporates causal analysis to distinguish correlation from true behavioral impact

🚀 Provides prescriptive recommendations that increase a user’s predicted success probability

The final system is deployed as an interactive dashboard and API, enabling real-time success prediction and actionable guidance for user growth.

This transforms raw event data into a scalable intelligence layer that helps Zerve improve onboarding, reduce churn, and accelerate user success.