This document discusses using control charts and continuous flow charts to monitor and improve a development process. It provides examples of valid purposes for collecting data, such as validating theories, learning over time, and distinguishing between variance and trends. The document then presents a case study where a team is working on too many projects in parallel compared to their plan. Participants are asked to analyze a chart showing the status of work over sprints and determine what should be happening instead, such as limiting work in progress. Finally, the document discusses how charts combined with process knowledge can drive learning and improvement.