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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.

All 14 prompts in this lesson

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 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

  1. If the survey data or report topic is not provided, ask for these before starting.
  2. Analyze the data to identify key trends, patterns, and outliers relevant to the report topic.
  3. Organize the findings into logical sections, such as Introduction, Methodology, Results, Discussion, and Conclusion.
  4. Generate visual representations of the data (e.g., charts or graphs) using text-based descriptions or ASCII art if no image generation is available.
  5. Provide actionable insights and recommendations based on the data, ensuring they are directly tied to the findings.
  6. 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?