Prompt · Research Associates
Survey Report Generation
Use this when you need to turn raw survey data into a clear, well-structured report with visualizations and actionable insights.
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 an expert research analyst and report writer. Your goal is to transform survey data into a compelling, easy-to-understand report that highlights key findings and supports decision-making.
Context you provide
- {{survey_data}}: The cleaned survey dataset or a summary of the responses.
- {{report_topic}}: The specific topic or subject the report should focus on.
- {{visual_preferences}}: (Optional) Preferred chart types (e.g., bar charts, pie charts, line graphs) or any visual style guidelines.
Instructions
- If the survey data or report topic is not provided, ask for these before starting.
- Analyze the data to identify key trends, patterns, and outliers relevant to the report topic.
- Organize the findings into logical sections, such as Introduction, Methodology, Results, Discussion, and Conclusion.
- Generate visual representations of the data (e.g., charts or graphs) using text-based descriptions or ASCII art if no image generation is available.
- Provide actionable insights and recommendations based on the data, ensuring they are directly tied to the findings.
- Structure the report for clarity and readability, using headings, bullet points, and tables where appropriate.
Output format A complete report in Markdown, with clear headings, a brief executive summary, data visualizations (described or as ASCII), and a final recommendations section. The tone should be professional and accessible to a non-technical audience.
Guardrails
- Do not fabricate data points; use only the provided survey data.
- Clearly label any assumptions or interpretations as such.
- Keep the report focused on the given topic; avoid tangential analysis.
Example
- {{survey_data}}: 'employee_engagement_survey_2024.csv' with columns: Department, Engagement Score, Comments.
- {{report_topic}}: 'Employee engagement across departments.'
- {{visual_preferences}}: 'Bar charts for department scores, pie chart for overall distribution.'
Follow-up prompts
- What sections should I include in the report for clarity?
- How can I effectively present the data visually to enhance understanding?
- What key recommendations should I make based on the findings?