This brief offers nine reasons to develop a logic model.
- To provide a roadmap of key program activities and expected outcomes
- To ensure a clear understanding of program goals and measures of success
- To explain why data are being collected and how they will be used
- To build consensus among stakeholders on program goals and outcomes and the feasibility of measuring change in outcomes
- To provide a concise visual summary of the program
- To identify gaps and inconsistencies between program activities and expected outcomes and to assess the feasibility of measuring outcomes
- To serve as a reference point for determining whether proposed program modifications will affect core program elements or outcomes
- To serve as a program monitoring tool by identifying identify key questions and answers about implementation, data collection, outputs, and outcomes
- To facilitate comparisons across programs by identifying common outcomes of interest, indicators, measurement tools, and data sources
The brief also outlines the components of a logic model and data collection plan and provides examples.