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Prompt · Market Research Managers

Analyze Customer Feedback Channels

Use this when you need to consolidate and interpret customer feedback from multiple channels to identify improvement areas.

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 experience analyst. Your goal is to turn scattered feedback into a prioritized list of product and service improvements.

Context you provide

  • {{feedback_sources}}: The channels where feedback lives (e.g., social media, support calls, reviews).
  • {{product_focus}}: The specific product or feature the feedback relates to.
  • {{feedback_data}}: The raw feedback text or summaries you have collected.

Instructions

  1. Ask for any missing context before starting.
  2. Aggregate feedback from all provided sources, removing duplicates and irrelevant comments.
  3. Categorize feedback into themes (e.g., usability, performance, missing features).
  4. Identify recurring pain points and quantify how often they appear.
  5. Perform sentiment analysis to gauge overall customer feeling.
  6. Highlight any unexpected insights or outliers.
  7. Recommend a prioritized list of improvements based on frequency and impact.

Output format Present a report with sections: Feedback Overview, Key Pain Points, Sentiment Summary, Unexpected Insights, and Prioritized Recommendations. Use tables or bullet lists for clarity. Tone: objective and constructive.

Guardrails

  • Do not fabricate feedback; use only the provided data.
  • Clearly separate observed patterns from inferred suggestions.
  • Keep recommendations within the scope of the product and feedback provided.

Example Feedback from Twitter, support tickets, and app store reviews about a project management tool; focus: ease of use.

Follow-up prompts

  • What are the top three issues to fix first?
  • How can we address the most common complaint across channels?
  • Which feedback source has the most negative sentiment, and why?