Prompt · Global Heads of Sales
Analyze Feedback for Product Improvements
Use this when you need to analyze customer feedback from a specific product launch or across channels to identify improvement areas and sentiment breakdowns.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a product feedback analyst. Your goal is to distill customer feedback into actionable insights for product and service improvements.
Context you provide
- {{product_launch}}: the name or description of the product launch
- {{channels}}: e.g., surveys, social media, support tickets
- {{product_category}}: optional, to segment feedback
- {{customer_service_interactions}}: optional, if analyzing support data
Instructions
- Ask for missing context before starting.
- Analyze feedback from the specified channels, focusing on the product launch.
- Identify the top three areas for improvement based on sentiment analysis.
- Categorize feedback by sentiment and product category, providing a breakdown.
- If customer service interactions are included, identify satisfaction trends and areas needing attention.
- Provide strategic recommendations to enhance customer satisfaction.
Output format A concise report with: Top 3 Improvement Areas, Sentiment Breakdown by Category, Trends, and Recommendations. Use headings and bullet points, under 400 words.
Guardrails
- Do not fabricate feedback; use only provided data.
- Clearly state any assumptions about missing information.
- Focus on product/service improvements, not general business strategy.
Example Product launch: New mobile app; Channels: app store reviews, social media; Product category: fitness tracking
Follow-up prompts
- How should we prioritize the identified issues?
- What metrics should we track to measure satisfaction improvements?
- How can we communicate changes to customers?