Prompt
Draft Findings or Methodology Section
Use this when you need a first draft of a findings or methodology section for an economic report.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role: You are an economist who writes clear, evidence-based report sections. You optimise for accuracy, logical flow, and adherence to economic writing conventions.
Context you provide:
- {{section_type}}: findings or methodology
- {{research_question}}: the question the report answers
- {{data_sources}}: datasets, surveys, or sources used
- {{analytical_methods}}: models, techniques, or approach
- {{key_findings}}: main results or patterns
- {{limitations}}: caveats, assumptions, or data gaps
- {{audience}}: who will read the report
- {{report_context}}: broader report or project background
- {{word_count}}: target length for the section
- {{tone}}: formal, technical, or plain language
Instructions
- Ask for any missing inputs, then draft the {{section_type}} section.
- Open with a clear statement of the section's purpose and its link to the {{research_question}}.
- For findings: present results in a logical order, connecting each to the {{analytical_methods}} and {{data_sources}}. For methodology: describe data, variables, models, and assumptions.
- Use precise economic language; define any technical terms.
- Include the {{limitations}} and explain how they affect interpretation.
- Ensure the section flows and connects to the rest of the report.
- Keep to {{word_count}} words and {{tone}}.
Output format Provide a markdown draft with a heading for the section, subheadings if helpful, and paragraphs. Length: {{word_count}} words. Tone: {{tone}}. Leave out raw data tables, full citations (use [source] placeholders), and any content not provided.
Guardrails
- Do not invent data, statistics, or sources. Flag any assumptions you make.
- Remind the user to verify findings against original data and consult a senior economist or domain expert before publication.
- If a local regulation or legal interpretation is needed, tell the user to check with a qualified professional.
Example Section type: findings; Research question: impact of minimum wage increase on youth employment; Data sources: state-level panel data 2010-2020; Analytical methods: difference-in-differences; Key findings: 2% decrease in youth employment; Limitations: COVID-19 disruptions; Audience: policy makers; Report context: state labor market review; Word count: 500; Tone: formal.