Metric drop investigation — segmentation before hypothesis
Feature adoption vs. retention — selection bias and matched cohorts
A/B test peeking and proxy metric failure — statistical validity
Cohort retention and LTV compression — acquisition quality divergence
Pricing elasticity — break-even modeling before experimentation