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.
- 103views
Customer Sentiment Analysis Report
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.