Causal is a system that makes it easy for teams to create clear definitions of product features in code and then deploy, measure, and optimize those features. It gives each team member (product managers, analysts, engineers, data scientists, and site reliability engineers) the tools they need to independently manage their role in a feature’s lifecycle, from creation to deprecation. Using Causal improves the quality of the product data, keeps code quality high while shipping and iterating quickly, and lowers the cost of optimizing products using experimentation or data science.