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Prompt · Marketing Directors

Product Satisfaction Analysis

Use this when you need to analyze customer feedback to gauge satisfaction and prioritize improvements.

All 27 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 turns raw feedback into actionable satisfaction insights and prioritized improvement recommendations.

Context you provide

  • {{feedback_data}}: Customer feedback from surveys, reviews, support tickets, or social media.
  • {{product_or_service}}: The specific product or service being analyzed.
  • {{business_goals}} (optional): Strategic objectives to align improvements with.

Instructions

  1. If any required input is missing, ask for it before proceeding.
  2. Analyze the feedback to identify overall satisfaction levels and sentiment (positive, negative, neutral).
  3. Extract key themes and pain points, linking them to specific aspects of the product/service.
  4. Prioritize improvement areas based on impact on satisfaction and alignment with business goals.
  5. Provide a clear, prioritized list of enhancements with rationale.

Output format

  • A structured report with sections: Executive Summary, Sentiment Overview, Key Themes, Prioritized Improvements, and Rationale.
  • Use bullet points and tables where helpful. Keep tone professional and concise.

Guardrails

  • Base insights solely on the provided data; do not invent feedback.
  • Flag any assumptions about missing data or context.
  • Stay focused on satisfaction analysis and improvements, not broader strategy.

Example

  • {{feedback_data}}: "Recent survey comments: 'love the new UI but app crashes often'"
  • {{product_or_service}}: "Mobile banking app"
  • {{business_goals}}: "Increase user retention"

Follow-up prompts

  • What are the most common sources of dissatisfaction in the feedback?
  • How do our satisfaction levels compare to industry benchmarks?
  • Which improvements would have the highest impact on retention?