Logic Models: The Planning Backbone of Social Enterprise
A logic model is a visual representation of the program theory — the assumptions underlying how a social enterprise's activities are expected to produce intended results. It is essentially a condensed version of the theory of change, displayed in a standardized format that is widely recognized by funders, evaluators, and partner organizations. The W.K. Kellogg Foundation's Logic Model Development Guide (first published in 1998 and widely used since) popularized the logic model format across the nonprofit and social enterprise sectors.
A standard logic model presents five columns in a horizontal flow: Inputs → Activities → Outputs → Outcomes → Impact (sometimes rendered as Inputs → Activities → Outputs → Short-term Outcomes → Medium-term Outcomes → Long-term Impact). Each column is linked by 'if-then' assumptions: 'If we have these inputs and conduct these activities, then we will produce these outputs; if we produce these outputs, then participants will experience these short-term outcomes; if short-term outcomes occur, then medium-term outcomes will follow' — and so on.
Inputs are the resources invested: funding, staff time, expertise, facilities, equipment, partnerships. Activities are what the program does with those inputs: training sessions delivered, counseling provided, products manufactured, advocacy campaigns conducted. Outputs are the immediate, quantifiable results of activities: number of people trained, counseling sessions conducted, products sold, policy briefs distributed. Short-term outcomes are changes in knowledge, skills, attitudes, or intentions expected within months of program participation. Medium-term outcomes are changes in behavior, practice, or conditions expected within 1–3 years. Long-term outcomes and impact reflect systemic or community-level changes expected over multiple years.
A well-constructed logic model serves multiple purposes: it helps program designers identify gaps and test assumptions in their causal logic before implementing; it guides monitoring and evaluation by specifying what to measure at each stage; it communicates program design clearly to funders, partners, and staff; and it creates accountability by making explicit what the program commits to deliver. The process of building a logic model is often as valuable as the document itself — it surfaces disagreements about causal assumptions and forces clarity about what the program is and is not responsible for achieving.