Real World Experimental Challenges and Solutions Questions

Discuss practical complications in running experiments at scale: user heterogeneity, segment-specific effects, long-term vs. short-term metrics, novelty effects, network effects, and infrastructure constraints. Know techniques for variance reduction (CUPED), segmentation strategies, and how to detect and correct for data quality issues during experiments.