The PM Quickstudy Education Indicator Database is a tool that provides searchable access to the leading and lagging indicators defined through the STTE project. The development of these indicators, including their definitions, related metrics and data elements, was guided by practitioners from the five STTE pilot districts and supported by research. The indicator database was developed as a means of helping schools and districts organize their student and school data into a comprehensive and understandable framework. This database contains 19 indicators (10 leading and 9 lagging with a total of 177 metrics) identified and defined through a selective, collaborative process involving practitioners and researchers. The PM Quickstudy Education Indicator Database contains the following components: Definition - Each indicator is defined, and includes a checkbox for early warning indicator status (based on research in Philadelphia and Chicago Public Schools ), and a short research description of its interrelationship with other indicators. The purpose of this research description is not to be comprehensive; it is to show the actionability of the indicator. That is, the purpose of this description is to show that it is possible to take action on the indicator and, in turn, influence other indicators. Metrics - Each indicator includes one or more metrics to enable educators to look at issues from multiple perspectives. For example, a school may have performance issues that leadership believes are partly driven by a high absence rate, but they are unsure as to whether these issues are primarily caused by excused or unexcused absences. By tracking both excused and unexcused absences over time in relation to performance on interim benchmark assessments, educators can begin to see patterns in whether excused, unexcused, or both are related to spikes or drops in interim course performance. The indicator database, therefore, has an attendance metric for overall, unexcused, and excused absences--in addition to data on attendance rates. These metrics are defined at multiple levels within the education system: student, school, and district. This organization of data enables educators to make decisions at the necessary level and more accurately determine if an intervention is needed at the student, school, or district level. Formula - Each metric has a formula, demonstrating how to calculate that metric. Data Elements - Each metric is comprised of data elements, showing what data needs to be collected or pulled to calculate a particular metric.