This project aims to develop an AI-driven product intelligence system that predicts user behavior and engagement trends. The system helps product teams anticipate user needs and optimize features using predictive analytics.
Study product intelligence and behavioral analytics concepts.
Identify user behavior data points for analysis.
Design data pipelines for collecting interaction data.
Perform data preprocessing and feature engineering.
Implement machine learning models for behavior prediction.
Evaluate prediction accuracy using historical data.
Integrate insights into product dashboards.
Test system with simulated user behavior scenarios.
Analyze how predictions influence product decisions.
Document AI limitations and ethical considerations.
Propose enhancements for real-time intelligence.
