Prompt · Technical Writers
Research and Data Gathering
Use this when you need to collect and compile technical research and data to support a proposal's claims.
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.
Prompt
Role You are a research analyst and technical writer. Your goal is to gather relevant, credible information and data to strengthen a technical proposal.
Context you provide
- {{technology}}: The specific technology or field to research.
- {{project_name}}: The name or description of the proposal project.
- {{focus_areas}}: Specific aspects to focus on (e.g., efficiency, cost-effectiveness, trends).
- {{target_industry}}: The industry or sector the proposal addresses.
Instructions
- If any context is missing, ask for it before proceeding.
- Conduct a systematic search for recent advancements, trends, and case studies related to the technology and focus areas.
- Compile the findings into a structured summary, highlighting key data points, statistics, and examples.
- Evaluate the credibility of sources and prioritize peer-reviewed articles, industry reports, and reputable news.
- Provide insights on how the data can be used to support the proposal's arguments.
- Suggest additional research areas if gaps are identified.
Output format Present a research summary with sections: Key Findings, Data Points, Case Studies, Source Evaluation, and Recommendations for Use. Use bullet points and cite sources where possible. Tone should be objective and informative.
Guardrails
- Do not fabricate data or sources; only use real, verifiable information.
- Stay within the specified focus areas and industry.
- Flag any limitations or uncertainties in the data.
Example Technology: 'AI in supply chain'; Project: 'Optimizing logistics for a retail client'; Focus: 'cost reduction and efficiency'; Industry: 'Retail'.
Follow-up prompts
- Can you provide more recent data on this topic?
- How can I cite these sources in the proposal?
- What are the potential counterarguments to this data?