Fine‑Grain Predictors Turbocharge Power in Coarse A/B Tests
Instacart shows that fine‑grain outcome predictability can slash variance of aggregate metrics, even when experiments run at coarse, region‑level randomization. By applying CUPED‑style adjustments beneath the randomization grain, they recover statistical power and cut experimentation time dramatically.