Data-driven decision making is part of our everyday lives. For example, we examine our children's immunization charts in order to indicate what vaccinations they have received, as well as what vaccinations are missing and expired. We use information, like a chart, to make decisions about what to do and what not to do. Data-driven decision making in education follows the same type of process: We use student performance, household, and school assessment data to inform decisions about the planning and implementation of school improvement strategies. This Facilitator Guide is to be used when training Volunteers, their counterparts, and supervisors to serve as workshop facilitators in Community Data-Driven Decision Making (CD3M) in education. It outlines the potential format, sessions, materials, objectives, time, sequence, and content of a CD3M workshop. The guide is based on pilot workshops conducted in Guatemala (May 2011) and the Philippines (June 2011) with Volunteers, their counterparts and supervisors, and Peace Corps staff. Training session ideas are included, as well as data collection tools designed and piloted by the participants of those workshops. It is expected that facilitators will adapt this guide and materials to contextualize the workshops for optimal effectiveness at their posts.