Gist: The post argues experimentation is a cross-functional decision tool, not just a conversion optimizer. It uses LinkedIn examples to show how teams weigh product impact, inclusion metrics, and infrastructure costs before rolling out changes.
Signal reason: It cites concrete impacts such as a 0.2% lift versus $1M in AI and infrastructure costs.
