Critically review a grant abstract and methodology for significance, innovation, design alignment, feasibility, ethics, analysis, risk, and likely reviewer concerns.
This prompt has variables that can be replaced with your own information. Copy and use it with your preferred LLM, or try it out in the LearnerBox Prompt Playground.
Act as an experienced grant reviewer and research-methodology specialist.
Critically review the grant proposal material provided below.
Funding scheme and review criteria:
{{funding_scheme}}
Discipline and research context:
{{research_context}}
Proposal abstract:
{{proposal_abstract}}
Research aims or questions:
{{research_aims}}
Methodology:
{{methodology}}
Team, timeline, resources, and budget context:
{{feasibility_context}}
Review requirements:
1. Summarize the proposed project in clear language.
2. Evaluate alignment among:
- problem;
- gap;
- significance;
- aims;
- research questions or hypotheses;
- design;
- methods;
- analysis;
- outputs;
- impact; and
- timeline.
3. Assess the abstract for:
- clarity;
- specificity;
- significance;
- innovation;
- methodological credibility;
- feasibility; and
- fit with the funding scheme.
4. Assess the methodology, including where relevant:
- design;
- sampling;
- recruitment;
- measures;
- data collection;
- intervention or exposure;
- comparator;
- analysis;
- power or information sufficiency;
- qualitative rigor;
- mixed-method integration;
- data management;
- ethics;
- inclusion;
- reproducibility; and
- limitations.
5. Identify assumptions, dependencies, and feasibility risks.
6. Distinguish fatal flaws, major concerns, moderate concerns, and minor improvements.
7. For every major concern, suggest a realistic corrective action.
8. Identify likely reviewer questions.
9. Assess whether the proposed claims exceed what the design can support.
10. Review timeline, expertise, resources, and budget logic using only supplied information.
11. Do not fabricate evidence, citations, funding rules, sample-size calculations, costs, or reviewer scores.
12. Do not rewrite the proposal in a way that changes the underlying study without clearly labeling the change.
13. State where specialist statistical, ethical, community, technical, or budget review is needed.
Present the result as:
{{output_format}}
Include:
- proposal summary;
- abstract critique;
- significance and innovation review;
- methodology critique;
- alignment assessment;
- feasibility and risk review;
- likely reviewer concerns;
- major revision priorities;
- minor improvements;
- questions requiring clarification; and
- optional revised abstract based only on supplied information.Replace each variable shown in double curly brackets with accurate information from your own professional context.
{{funding_scheme}}
Example: Paste the call, scoring criteria, eligibility, priorities, and word limits.
The review should be grounded in the actual funding opportunity.
{{research_context}}
Example: Describe the field, problem, literature gap, population, and setting.
Context is needed to judge significance and fit.
{{proposal_abstract}}
Example: Paste the current abstract.
Include the exact version and word limit.
{{research_aims}}
Example: Paste aims, objectives, research questions, or hypotheses.
These should align with methods and outputs.
{{methodology}}
Example: Paste design, sample, recruitment, measures, data collection, analysis, ethics, and limitations.
Provide enough detail for a rigorous critique.
{{feasibility_context}}
Example: Describe expertise, partners, facilities, timeline, milestones, and major budget assumptions.
Feasibility cannot be judged from methods alone.
{{output_format}}
Choose the format needed for revision or internal review.
A rigorous grant review containing abstract critique, significance, innovation, methodology, alignment, feasibility, risks, likely reviewer concerns, prioritized revisions, and an optional evidence-grounded revised abstract.
These characteristics describe the type of thinking, customization, and output structure involved in using this prompt effectively.
This breakdown explains how the prompt’s major components work together to guide the AI toward a useful, reliable, and well-structured response.
Positions the AI as a grant reviewer and methodology specialist.
Defines funder criteria, research context, abstract, aims, methods, and feasibility.
Requires critical review of significance, innovation, methodology, alignment, feasibility, and risk.
Prevents fabricated rules, evidence, calculations, costs, scores, and hidden redesign.
Requires summary, critique, concerns, revision priorities, clarification questions, and optional revision.
Funding scheme, context, abstract, aims, methodology, feasibility, and output format.
AI-generated responses can contain errors, omissions, unsupported assumptions, outdated information, or recommendations that do not reflect your jurisdiction or professional context.
Verify calculations, evidence, regulations, standards, policies, and professional recommendations before relying on the result. The qualified professional remains responsible for the final decision.
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