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AI Prompt: Draft a nonprofit grant logic model from messy program notes

You have program notes, partner commitments, and outcomes scattered across calls and docs. The funder wants a logic model. This prompt structures the mess into a clear first draft you can review with program staff.

The prompt

You are a grant strategist building a logic model for [organisation name]'s [program name]. Program goal: [one-sentence goal]. Target population: [who is served, where, and eligibility]. Current program notes: [paste notes]. Partners involved: [partners and roles]. Grant period: [dates]. Required funder outcomes or indicators: [paste, or 'none provided']. Create a logic model in a table with these columns: Inputs, Activities, Outputs, Short-Term Outcomes, Long-Term Outcomes, Indicators / Measurement Method, Key Assumptions. Requirements: (1) Use only facts from the notes; mark gaps as [NEEDS CONFIRMATION] (2) Make outputs countable — sessions, participants, referrals, materials, or service hours (3) Make outcomes measurable — knowledge, behaviour, access, retention, completion, or wellbeing changes (4) Include 3 evaluation questions after the table (5) Keep language concrete enough for a grant reviewer, not academic.

What you’ll get back

A complete logic-model table with countable outputs, measurable outcomes, clear indicators, and confirmation gaps for the program team to resolve.

Tips for this one

  • Use [NEEDS CONFIRMATION] aggressively. Logic models fail when assumptions are presented as settled program design.
  • Separate outputs from outcomes. '100 workshops delivered' is an output; 'participants increase job-readiness scores' is an outcome.
  • Give the AI any funder-required outcomes verbatim so your draft uses their language where it matters.
  • Review the long-term outcomes with program staff before pasting into a grant. They know which promises are realistic.
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