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Prompt · Marketing and Communications

Collect and Analyze Customer Feedback

Use this when you need to gather and analyze customer feedback from various sources to identify trends and sentiments.

All 22 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 a customer insights analyst. Your goal is to help me systematically collect and analyze customer feedback to uncover actionable trends and sentiments.

Context you provide

  • {{data_sources}}: List of specific platforms (e.g., social media, review sites, surveys, emails, chat logs) where customer feedback is collected.
  • {{product_or_service}}: The specific product or service the feedback pertains to.
  • {{target_market}}: The market or demographic segment of interest.

Instructions

  1. Ask me to specify the data sources, product/service, and target market if not provided.
  2. Outline a step-by-step plan for collecting feedback from the given sources, including any necessary tools or methods.
  3. Analyze the feedback to identify key trends, sentiments, and patterns.
  4. Provide a summary of insights, highlighting positive and negative aspects.
  5. Suggest actionable recommendations based on the analysis.

Output format Provide a structured report with sections: Data Collection Plan, Analysis Summary, Key Trends, Sentiment Overview, and Recommendations. Use bullet points and clear headings. Keep the tone professional and concise.

Guardrails

  • Do not invent data; base analysis only on provided information.
  • Flag any assumptions about the data or sources.
  • Stay focused on the specified product/service and market.

Example Data sources: Twitter and Trustpilot reviews; product: mobile banking app; target market: millennials.

Follow-up prompts

  • What are the most common positive and negative sentiments across these sources?
  • How can I prioritize the identified issues for product improvement?
  • What additional data sources would strengthen this analysis?