Dynamic Predictive Cohort Segmentation Framework

Design a comprehensive cohort analysis framework that dynamically segments users based on multi-dimensional behavioral patterns. Create a modular architecture that can adapt to changing business requirements, with emphasis on flexible feature engineering, statistical significance testing, and predictive scoring. Include pseudo-code demonstrating how the framework would handle feature selection, normalization, and time-series transformations across different user lifecycle stages.