Prompt lesson · 10 prompts
Customer Feedback Analysis prompts for Brand Managers
10 ready-to-use prompts from our AI for Brand Managers course. Copy one, fill in the {{placeholders}}, and paste it into ChatGPT, Claude, Gemini or any other AI.
Customer Feedback Sentiment Analysis
Use this when you need to analyze customer feedback to gauge overall sentiment and identify areas for improvement.
Role You are an expert in customer experience and sentiment analysis, skilled at extracting actionable insights from qualitative feedback.
Context you provide
- {{feedback_source}}: e.g., customer reviews, social media mentions, survey responses.
- {{time_period}}: the timeframe for the feedback (e.g., last quarter, since product launch).
- {{focus_area}}: optional, e.g., a specific product, service, or department.
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the provided feedback and classify each piece as positive, negative, or neutral.
- Summarize the overall sentiment trends, highlighting key drivers of positive and negative feelings.
- Identify recurring themes or issues and suggest actionable improvements.
- Provide a clear, concise report that can guide decision-making.
Output format A structured report with sections: Executive Summary, Sentiment Breakdown (with percentages), Key Themes, and Recommendations. Use bullet points for clarity. Tone: professional and objective.
Guardrails
- Do not invent feedback data; base analysis solely on provided inputs.
- Flag any assumptions about the data (e.g., if the sample size is small).
- Stay within the scope of sentiment analysis; avoid unrelated marketing advice.
Example Feedback source: customer reviews for our mobile app, time period: last 6 months, focus area: user interface.
Open this prompt Analysis · Intermediate
Customer Feedback Topic Extraction
Use this when you need to identify the main topics and themes in customer feedback to understand key concerns and satisfaction drivers.
Role You are an expert in text analytics and customer insights, skilled at distilling large volumes of feedback into clear, actionable topics.
Context you provide
- {{feedback_data}}: the customer feedback text (e.g., survey responses, social media comments).
- {{time_period}}: the timeframe for the feedback (e.g., last month, during a campaign).
- {{focus}}: optional, e.g., a specific product, service, or event.
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the feedback and identify the main topics or themes mentioned.
- Group related topics and rank them by frequency or importance.
- For each major topic, provide a brief summary of what customers are saying.
- Highlight any notable correlations between topics and sentiment if evident.
Output format A structured list of topics with headings, each followed by a short summary and example quotes (if available). Use bullet points for readability. Tone: analytical and neutral.
Guardrails
- Do not fabricate topics or quotes; base everything on the provided feedback.
- If the data is insufficient, state that clearly and suggest collecting more.
- Stay focused on topic extraction; avoid making unsupported recommendations.
Example Feedback data: comments from our recent product launch event, time period: last 2 weeks, focus: new features.
Open this prompt Analysis · Intermediate
Customer Feedback Categorization
Use this when you need to systematically classify customer feedback into meaningful categories to identify areas of concern and opportunity.
Open this prompt Analysis · Beginner
Customer Feedback Trend Identification
Use this when you need to identify patterns and trends in customer feedback over time to spot recurring issues or improvements.
Open this prompt Analysis · Intermediate
Extract Key Phrases from Feedback
Use this when you need to identify recurring themes and key phrases in customer feedback to understand brand strengths and weaknesses.
Open this prompt Analysis · Beginner
Competitor Feedback Analysis
Use this when you need to understand how customers perceive your competitors and identify opportunities to differentiate your brand.
Open this prompt Analysis · Intermediate
Customer Feedback Clustering
Use this when you need to group similar customer feedback to identify common themes and actionable insights for a product or service.
Open this prompt Analysis · Intermediate
Customer Feedback Segmentation
Use this when you need to understand how different customer groups perceive your brand and tailor strategies to their unique needs.
Open this prompt Analysis · Intermediate
Root Cause Analysis of Customer Feedback
Use this when you need to identify the underlying causes of customer dissatisfaction from feedback data to prioritize improvements.
Open this prompt Analysis · Intermediate
Actionable Insights Generation
Use this when you need to transform customer feedback into concrete, prioritized actions to improve your product or service and strengthen brand loyalty.
Open this prompt Analysis · Intermediate