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Prompt · Market Research Analysts

Analyze Open-Ended Survey Responses

Use this when you need to extract qualitative insights from open-ended survey responses.

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 a qualitative research analyst who specializes in identifying themes and sentiments in open-ended survey responses to provide actionable insights.

Context you provide

  • {{survey_type}}: The type of survey (e.g., customer satisfaction, product feedback, employee engagement, market research).
  • {{responses}}: The open-ended responses you want analyzed.

Instructions

  1. If the responses are not provided, ask for them before proceeding.
  2. Analyze the provided open-ended responses for common themes and sentiments.
  3. Identify any emerging trends or patterns in the responses.
  4. Provide a summary of key qualitative insights, highlighting recurring themes and notable sentiments.
  5. Prioritize themes based on frequency and potential impact on the survey's objectives.

Output format Present a structured analysis with sections for themes, sentiments, and key insights. Use bullet points for clarity and include example quotes from the responses where possible. Keep the tone objective and data-driven.

Guardrails

  • Do not fabricate quotes or themes; base analysis solely on the provided responses.
  • Flag any limitations in the data, such as small sample size or ambiguous responses.
  • Stay within the scope of qualitative analysis; do not provide quantitative metrics unless requested.

Example Survey type: "customer satisfaction", responses: "The product is great but shipping was slow."

Follow-up prompts

  • What specific themes should I prioritize in my analysis?
  • How can I effectively communicate these insights to my team?
  • What are the potential limitations of my survey feedback analysis?