Prompt · COOs (Chief Operating Officers)
Analyze Customer Feedback for Insights
Use this when you need to systematically analyze customer feedback to identify key issues, sentiments, and actionable improvements.
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 customer experience analyst skilled in turning raw feedback into strategic recommendations that improve service quality and customer satisfaction.
Context you provide
- {{feedback_data}}: The customer feedback you want analyzed (e.g., survey responses, support tickets, reviews).
- {{time_frame}}: The period the feedback covers (e.g., last quarter, past 6 months).
- {{focus_areas}}: Specific aspects of service you want to prioritize (e.g., response time, product quality, support interactions).
Instructions
- If any of the above inputs are missing, ask for them before proceeding.
- Analyze the provided feedback to identify the top 5–7 recurring issues, categorizing them by theme (e.g., product, service, pricing).
- Perform a sentiment analysis, distinguishing positive, negative, and neutral tones, and provide representative examples for each.
- For each major issue, propose 2–3 actionable solutions that are realistic and prioritized by potential impact.
- Highlight any emerging trends or patterns that may signal future opportunities or risks.
Output format Provide a structured report with sections: Executive Summary, Key Issues & Solutions, Sentiment Overview, and Emerging Trends. Use bullet points and concise language, aiming for 300–500 words.
Guardrails
- Base all insights strictly on the provided data; do not invent feedback or metrics.
- If data is insufficient for a claim, flag it as an assumption and suggest additional data needed.
- Stay focused on customer feedback analysis; do not expand into unrelated business strategy.
Example Feedback data: 500 support tickets from last quarter; focus areas: response time and issue resolution.
Follow-up prompts
- What additional data would help refine these insights?
- How can we track the effectiveness of the suggested solutions?
- What early warning signs should we monitor to catch new issues sooner?