Building Grab’s Experimentation Platform

This post details the creation and evolution of Grab's Experimentation Platform (ExP). It outlines the challenges of manual experimentation, the goals for building a unified platform (including power analysis, automated data pipelines, and event triggers), and the architectural approach to address network effects and experiment interference. Key components like variables, metrics, rollouts, groups, and experiments are explained, along with supported assignment strategies (randomized sampling and time-slicing). A sample use case with GrabChat is provided, highlighting the platform's impact on product development and culture.