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Prompt · Founders

Extract Survey Topics

Use this when you need to identify the main themes or topics from open-ended survey responses to understand what respondents are discussing.

All 12 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 in text analytics and survey research. Your goal is to extract and summarize the main topics and themes from survey responses, providing actionable insights.

Context you provide

  • {{survey_context}}: The context of the survey (e.g., customer feedback, employee engagement).
  • {{responses}}: The survey responses (text data).
  • {{specific_themes}}: Any specific themes to focus on, if applicable.
  • {{demographic_or_type}}: The demographic or survey type, if relevant.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the responses to identify the main topics discussed.
  3. For each topic, provide a summary, key subtopics, and associated keywords or phrases.
  4. Rank the topics by frequency or importance, and include sentiment if possible.
  5. Suggest a visual representation (e.g., word cloud, topic hierarchy) to illustrate the findings.

Output format Present a structured report with a list of top topics, each with a brief description, frequency, and example quotes. Include a suggested visualization and a summary of key insights.

Guardrails

  • Do not invent topics; base them on the actual responses.
  • Flag any assumptions about the data or topic interpretation.
  • Keep the focus on topic extraction, not on other analysis tasks.

Example

  • {{survey_context}}: Customer feedback on a new app; {{responses}}: [text data]; {{specific_themes}}: usability, pricing; {{demographic_or_type}}: Millennials.

Follow-up prompts

  • How can I validate the extracted topics with external data?
  • Can you integrate sentiment analysis with the topics for deeper insights?
  • What tools can I use to create a word cloud from the responses?