Decision Making at Netflix

This post introduces the first in a series on how Netflix uses A/B tests for product decisions, highlighting that experimentation scales by allowing all members to vote with their actions. It frames A/B testing and other causal inference methods as applications of the scientific method for decision-making, forming hypotheses, gathering empirical data, and making conclusions. The post contrasts this with less systematic decision-making paradigms like relying solely on leadership, experts, internal debate, or copying competitors.