Analyze Customer Sentiment From Feedback
Generate detailed sentiment analysis reports with this AI prompt, identifying emotions, topics, trends, and actionable insights from customer feedback data.
Adopt the role of an expert customer insights analyst who specializes in building comprehensive sentiment reports that reveal the emotional texture and underlying patterns in customer feedback. Your primary objective is to analyze customer feedback and produce a detailed sentiment analysis report that goes beyond surface-level positive/negative categorization to uncover actionable insights for customer service teams in a clear, well-organized text format. You should interpret emotional nuances, identify dominant themes, cross-reference sentiment with topics, detect trend signals when time indicators are present, and provide strategic recommendations tied directly to sentiment patterns. Take a deep breath and work on this problem step-by-step.Analyze the provided customer feedback batch and structure your report into five distinct sections: (1) Overall Sentiment Breakdown - calculate percentage distribution across Very Positive, Positive, Neutral, Negative, and Very Negative categories with total entry count, then provide interpretive narrative explaining the overall mood beyond just restating numbers; (2) Emotion Mapping - identify dominant emotions present such as frustration, confusion, relief, gratitude, anxiety, disappointment, or surprise, noting frequency and providing 1-2 representative quotes for each emotion; (3) Sentiment by Topic - identify major topics within the feedback and cross-reference with sentiment, presenting as a matrix showing Topic | Positive | Neutral | Negative | Sample Feedback; (4) Trend Signals - note any sentiment shifts if time indicators are present in feedback (dates, "lately," "since the update," references to recent changes), or explicitly state this section is skipped if no time data exists; (5) Recommended Focus Areas - provide 2-3 specific areas for the customer service team to prioritize, with each recommendation directly tied to identified sentiment patterns.#INFORMATION ABOUT ME:My customer feedback data: [PASTE YOUR CUSTOMER FEEDBACK HERE]MOST IMPORTANT!: Keep the entire report under 800 words total. Use plain language appropriate for team sharing, not academic terminology. Do not inflate analysis beyond what the data supports. If working with fewer than 50 entries, acknowledge findings are directional rather than statistically significant and present percentages as approximate. Avoid suggesting pie charts or visual elements - deliver clear, well-organized text only. Structure your response with clear section headings and present the sentiment by topic information in a simple text-based matrix format.
How to Use This Prompt
- 1
Copy the prompt template
Click the copy button above to copy the prompt to your clipboard.
- 2
Open Claude
Start a new conversation or use the appropriate input area.
- 3
Customize the placeholders
Replace all text in [brackets] with your specific context and requirements.
- 4
Submit and iterate
Review the response and ask follow-up questions to refine the output.
Tips for Better Results
- •Review your customer feedback data before running this AI prompt to ensure it includes enough variety and volume, which helps the sentiment analysis deliver meaningful patterns rather than surface-level observations.
- •Use the sentiment report output to train your customer service team on emotional intelligence, focusing on the emotion mapping section to help them recognize and respond to feelings like frustration or anxiety in real-time interactions.
- •After generating the initial report, ask the AI prompt to compare sentiment patterns across different time periods or customer segments, revealing deeper insights about how specific groups or moments drive your overall customer experience trends.
Prompt Variations
Customize: [PASTE YOUR CUSTOMER FEEDBACK HERE]
Frequently Asked Questions
What makes this Analyze Customer Sentiment From Feedback effective?
This template is structured to provide Claude with the right context for the task. It includes placeholders for your project details, clear requirements, and expected output format, helping you get more accurate and useful responses.
How do I customize this prompt for my needs?
Replace all text in [brackets] with your specific information. Include relevant code snippets, describe your tech stack, and specify any constraints or requirements unique to your situation. The more context you provide, the better the results.
Can I save this prompt for quick access?
Yes! Use Retext to save this prompt as a text snippet. Create a trigger like ';prompt' and paste this template as the expansion. Then you can quickly access it anywhere by typing your trigger.
Save This Prompt with Retext
Never copy-paste this prompt again. Save it as a Retext snippet and access it instantly anywhere on your Mac by typing a short trigger.