Funders increasingly award grants based on demonstrated impact. A logic model and a clear evaluation plan show you’ll deliver — and measure — real results.
What a logic model is
A logic model is a one-page map of your project’s logic: inputs (resources) → activities (what you do) → outputs (what you produce) → outcomes (the change you create) → impact (long-term effect). It forces clarity and shows reviewers your plan is coherent.
Outputs vs outcomes
This distinction trips up many applicants. Outputs are countable activities (“trained 200 teachers”). Outcomes are the change that results (“teacher retention rose 12%”). Funders care most about outcomes — make sure yours are explicit and measurable.
Build the evaluation plan from the model
For each outcome, state what you’ll measure, how (the data source and method), and when. Distinguish process evaluation (are we doing what we planned?) from outcome evaluation (is it working?).
Set realistic, measurable targets
Targets should be ambitious but credible, and tied to your statement of need. If the need cites a 40% gap, your objectives should move that number meaningfully.
Budget for evaluation
An evaluation plan with no money behind it isn’t believable. Fund the data collection and analysis in your budget — reviewers check for this alignment.
Federal grants open right now
Live from Grantoria — updated daily from Grants.gov & SAM.gov.
Frequently asked questions
What is the difference between outputs and outcomes?
Outputs are the countable products of your activities (people trained, sessions held). Outcomes are the changes those activities cause (improved skills, better retention). Funders prioritize outcomes.
Do I need a logic model for every grant?
Not always required, but highly recommended. Even when optional, a logic model strengthens your proposal by showing reviewers a clear, measurable path from activities to impact.