AI Logic Model Generator

A logic model is a visual and narrative representation of the relationships between your program's resources, activities, and intended results. Use one when designing a new program, applying for grants, evaluating existing programs, or communicating your approach to stakeholders. Most federal and foundation funders require logic models as part of their application process.

A standard logic model includes five components: Inputs (resources like staff, funding, partnerships), Activities (what your program does), Outputs (direct products of activities, like number of workshops held), Outcomes (changes that result, divided into short-term, intermediate, and long-term), and Impact (the ultimate change your program contributes to). Each component should flow logically to the next.

Your logic model should be detailed enough to guide program implementation and evaluation, but concise enough to fit on one to two pages. Include specific, measurable indicators for outputs and outcomes, but avoid listing every minor activity. Focus on the core programmatic elements that drive results and the key assumptions that connect each level of the model.

Outputs are the direct, countable products of your activities — the number of people served, workshops held, or materials distributed. Outcomes are the changes that result from those outputs — improved knowledge, changed behavior, or better conditions. Think of outputs as what you did and outcomes as what changed because of what you did. Funders care most about outcomes.

Yes, logic models are foundational to program evaluation. They identify what to measure at each stage, clarify the causal assumptions you can test, and help evaluators understand your program theory. Use your logic model to develop evaluation questions, select indicators, and design data collection instruments that track progress from activities through to long-term impact.