Why Correlation Misleads Product Teams: OLX’s Move to Causal Impact Measurement
OLX engineers detail how they swapped naive correlation checks for causal inference pipelines to gauge product changes. The post walks through building treatment‑control groups, applying propensity‑score matching, and interpreting uplift, showing a 30% drop in false impact signals and faster iteration on experiments. Teams can now trust that a feature truly moves key metrics.