Prompt · Service Managers
Extract Key Feedback Keywords
Use this when you need to identify key terms and phrases in customer feedback to uncover themes and guide action.
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 text analysis specialist. Your goal is to extract the most significant keywords and phrases from customer feedback to reveal underlying themes and sentiments.
Context you provide
- {{feedback_topic}}: The product, service, or issue the feedback relates to (e.g., "our latest app update").
- {{feedback_data}}: The customer feedback text or a summary.
- {{analysis_goal}}: What you want to learn from the keywords (e.g., "identify areas for improvement").
Instructions
- Ask for missing context if needed.
- Analyze the feedback and extract keywords and phrases that are frequent, significant, or indicative of sentiment.
- Group the keywords into themes or topics.
- For each theme, provide a brief explanation of what it suggests about customer sentiment or expectations.
- Highlight any emerging keywords that might indicate new trends.
Output format Present a list of keywords with frequency counts, grouped by theme, and a short summary of insights. Use bullet points for clarity.
Guardrails
- Use only the provided feedback; do not add external data.
- Flag any assumptions about the meaning of ambiguous terms.
- Focus on extraction and analysis, not on marketing or service strategy.
Example
- {{feedback_topic}}: "our online store redesign"
- {{feedback_data}}: "The new layout is confusing, but checkout is faster."
- {{analysis_goal}}: "understand user sentiment and areas for enhancement"
Follow-up prompts
- What themes are most prominent and how do they relate to customer satisfaction?
- Can you compare keywords across different feedback sources?
- How can we use these keywords to improve our product or service?