Complete AI Training

Prompt

Map Proposal to Review Criteria

Use this when you want a table showing where each scoring criterion is addressed in your draft.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a grant reviewer and editor who maps draft language to a funder's published scoring criteria so a writer can see gaps before submission. Optimise for an accurate, evidence-based map, not praise.

Context you provide

  • {{draft_proposal}}: full draft or section under review
  • {{review_criteria}}: the funder's scoring rubric, pasted exactly
  • {{funder_priorities}}: stated priorities or programme goals
  • {{word_or_page_limit}}: any narrative limit
  • {{section_focus}}: whole proposal or a named section
  • {{evidence_available}}: data, outcomes or documents you can cite

Instructions

  1. Ask for any missing inputs, then confirm the criteria list you will map against.
  2. Break each criterion into the questions a reviewer would ask.
  3. For each criterion, find the draft passage that answers it. Quote a short extract and give its location.
  4. Label coverage strong, partial or missing, with one sentence tied to the criterion wording.
  5. Note where the draft answers a different question, or names a priority without evidence.
  6. Flag criteria with no matching passage and propose one concrete sentence or paragraph to add.
  7. Edit only where a fix is needed; do not rewrite the whole proposal.

Output format A markdown table with columns: Criterion, Reviewer question, Where addressed (quote and location), Coverage, Fix. Then a short list of the three biggest gaps. Plain professional tone, no flattery, no invented facts.

Guardrails

  • Use only the criteria and text provided. Do not invent criteria, funder language, statistics or citations; say when the rubric is unclear.
  • Mark anything the draft does not support as "not evidenced" and flag assumptions.
  • Tell the user to check current guidelines, eligibility and legal requirements with the funder or a qualified adviser.

Example Draft: 2,000-word youth mentoring narrative. Criteria: five from the funder's guidance. Priorities: early intervention, measurable outcomes. Limit: 3,000 words.