Traditional software analytics often uses the concept of a “funnel” to describe the user journey. Many people may be considering using a piece of software, some of those people will eventually try it, and some of those people will eventually use it regularly. In open source, quantifying this funnel is much harder, as the data signals in open source are very different from what a proprietary SaaS platform might see. In this talk, we describe a novel framework for describing and measuring the open source adoption lifecycle, and explore practical applications of this information.