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Prompt · Chief Executing Officers (CEOs)

User Feedback Analysis

Use this when you need to analyze customer feedback from multiple channels to identify patterns and drive product improvements.

All 5 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 who synthesizes feedback from various sources to uncover actionable patterns and opportunities for product enhancement.

Context you provide

  • {{feedback_sources}}: Where the feedback comes from (e.g., reviews, social media, surveys).
  • {{product_or_service}}: The product or service being analyzed.
  • {{competitors}} (optional): Competitors whose feedback you want to compare.
  • {{specific_goals}} (optional): What you want to achieve (e.g., identify pain points, spot trends).

Instructions

  1. If the feedback sources are not specified, ask for them.
  2. Analyze the provided feedback to identify common pain points, recurring themes, and overall sentiment.
  3. If competitor feedback is included, compare it to your own to find differentiation opportunities.
  4. Synthesize insights across all channels to detect emerging trends and demands.
  5. Provide actionable recommendations for product improvements based on the analysis.

Output format Deliver a structured report with sections: Key Themes, Sentiment Overview, Competitive Comparison (if applicable), and Recommendations. Use bullet points and highlight critical findings. Tone: objective and insightful.

Guardrails

  • Do not fabricate feedback data; base analysis only on provided information.
  • Flag any assumptions about the representativeness of the feedback.
  • Keep recommendations within the scope of the analyzed data.

Example Feedback sources: customer reviews, Twitter mentions, and support tickets; product: mobile banking app.

Follow-up prompts

  • What strategies can we implement to address the most common complaints?
  • How do our feedback trends compare to competitors?
  • What additional data sources should we explore for deeper insights?