Data-based decision making (DBDM) is a process of using student data to inform instructional decisions and intensify intervention for students whose data indicate inadequate academic and behavioral progress. Data teams, an important structure for DBDM, are a collaborative group of school faculty who meet to systematically analyze student data, make decisions regarding instruction, and support teacher capacity for decision-making. In this article, the authors provide a protocol that educators may use to design and implement data teams in their schools. First, they establish requirements needed prior to the first data team meeting. Then, they describe how to plan and implement initial meetings for each student. Finally, they present a structure for ongoing meetings. Materials to support data team meetings, including an overview of the data team process and a checklist for each stage of the process are also provided. Those more familiar with DBDM will be able to use these figures as stand-alone materials to facilitate data team meetings. However, for teachers just getting started with data teams in their schools, the article also references resources that provide additional information about components of the DBDM process. Finally, the authors illustrate the steps for a data team using a hypothetical vignette. Although data teams can be used for both academic and behavior data, the vignette is focused on school personnel enacting an academic-focused data team.