AI Broke Your Experimentation Program. Here's How to Fix It

AI has made idea generation essentially free, allowing teams to generate 50 test ideas before lunch and build variations by afternoon, but this velocity no longer signals a healthy experimentation program. The article argues that traditional metrics for measuring experimentation health are no longer meaningful when the cost of shipping tests has collapsed, and teams must rethink how they evaluate program quality. Authors Viv Magida and Ken Kutyn outline a new framework for experimentation programs designed for the AI-enabled era.