If you've read more than a handful of funding guides, you've seen the phrase: "Please attach a logic model." For many nonprofits, that single line sends an otherwise confident application team scrambling. A logic model sounds technical and academic, but at its heart it's just a clear picture of how your work creates change. Once you understand the structure, you can build one in an afternoon, and it will make your entire application stronger.
This guide walks through what a logic model is, the five building blocks every one contains, and how to assemble them into a tool that sharpens your narrative and sets up your evaluation plan. We'll build a worked example for a community program as we go.
What a Logic Model Actually Is
A logic model is a one-page diagram that shows the logical chain between the resources you put into a program and the change you expect to see come out of it. Read left to right, it answers a simple question: "If we invest these resources and do this work, what difference will it make?"
Funders ask for logic models because they reveal whether your thinking holds together. A reviewer can glance at one and see, at a glance, whether your activities actually lead to your stated outcomes, or whether there's a gap in the reasoning. A strong logic model signals that you've thought carefully about cause and effect, not just about what you want to do.
The Five Building Blocks
Almost every logic model uses the same five columns. Build them in order, because each one feeds the next.
1. Inputs (Resources)
Inputs are everything you invest to run the program: staff, volunteers, funding, facilities, equipment, partnerships, and existing knowledge. This is your raw material. Be honest and specific, since reviewers use this column to judge whether you have the capacity to deliver what you're proposing.
2. Activities
Activities are the things you actually do with those inputs, the verbs of your program. Running workshops, delivering meals, coaching practices, hosting cultural gatherings, providing one-on-one mentoring. Activities are what your staff and volunteers spend their time on.
3. Outputs
Outputs are the direct, countable products of your activities. They answer "how much?" and "how many?" Number of sessions delivered, participants served, meals distributed, hours of programming. Outputs are not yet change, they're evidence that the work happened. Confusing outputs with outcomes is the single most common logic model mistake.
4. Outcomes
Outcomes are the changes in knowledge, attitudes, behaviour, or condition that result from your work. They're usually broken into three time horizons:
- Short-term outcomes are changes in awareness, knowledge, or skills that appear soon after participation, often within weeks or a few months.
- Medium-term outcomes are changes in behaviour or practice that build on the short-term gains, typically over the span of the program year.
- Long-term outcomes are deeper changes in condition or status, the lasting difference your program contributes to over years.
5. Impact
Impact is the broad, lasting change your program contributes to at the community or population level. It's bigger than any single organization can claim alone, which is why honest logic models describe impact as something you contribute to rather than something you single-handedly cause.
A Worked Example: A Youth After-School Program
Imagine a small nonprofit running a free after-school program for youth in a neighbourhood with limited recreation options. Here's how the chain comes together:
- Inputs: Two part-time youth workers, a roster of trained volunteers, a partnership with the local school, a community hall, snacks, and program funding.
- Activities: Daily homework help, twice-weekly sports sessions, and a weekly life-skills workshop.
- Outputs: A set number of program days delivered, a roster of youth enrolled, and a count of workshop sessions run over the school year.
- Short-term outcomes: Participants report improved confidence and a stronger sense of belonging.
- Medium-term outcomes: Participants show improved school attendance and more consistent homework completion.
- Long-term outcomes: Youth stay engaged in school and develop positive peer relationships that carry forward.
- Impact: A stronger, more connected neighbourhood where young people have safe, supportive places to grow.
Notice how each step earns the next. The activities plausibly produce the outputs; the outputs create the conditions for the short-term outcomes; and the outcomes build toward the impact. If any link were missing, a reviewer would spot it immediately.
A logic model is not a wish list. Every outcome you write down is a promise you'll be asked to measure. If you can't imagine how you'd track a change, it probably doesn't belong in your model yet.
How a Logic Model Strengthens Your Application
It sharpens your narrative
Once your logic model is built, your project narrative practically writes itself. The inputs column becomes your capacity section. The activities become your program description. The outcomes become the heart of your "what will change" paragraph. Because the model forces alignment, you stop making claims your activities can't support, and reviewers reward that discipline.
It sets up your evaluation plan
Funders almost always ask how you'll measure success. Your logic model hands you the answer. Each outcome points directly to something you can track, whether through attendance records, pre- and post-program surveys, participant feedback, or partner observations. Build the measurement method right beside each outcome and your evaluation section becomes a formality rather than a struggle.
It catches weak reasoning early
The act of building the model exposes gaps before a reviewer ever sees them. If you can't trace a clean line from an activity to an outcome, that's a signal to either add a missing activity or drop an outcome you can't actually deliver. Better to find that gap at your own desk than in a rejection letter.
Tips for Building Yours
- Start with the end. Some teams find it easier to name the impact first and work backwards to the activities that get them there.
- Keep it to one page. A logic model is a summary, not an essay. If it sprawls, you're including too much detail.
- Use plain verbs and concrete nouns. Vague language hides weak logic.
- Pair every outcome with a measure. If there's no way to know whether the change happened, rethink the outcome.
- Match the funder's language. If the funding guide talks about "wellbeing" or "belonging," use those words in your outcomes so the reviewer sees the fit.
A logic model isn't bureaucratic box-checking, it's the clearest thinking tool a grant writer has. Build one early, and every other piece of your application gets easier to write and harder to reject.
Alpine Grants builds logic models alongside the organizations we work with, then turns them into funded applications. Book a 10-minute discovery call and we'll map out the chain of change behind your program together.