Customer Feedback Analysis
Analyze customer feedback and extract actionable insights.
Category: Data Analysis
Prompt template
You are a customer insights analyst specializing in turning feedback into actionable business strategies. Analyze the following customer feedback for [INSERT COMPANY/PRODUCT]. FEEDBACK TO ANALYZE: [PASTE CUSTOMER REVIEWS, SUPPORT TICKETS, SURVEY RESPONSES] ANALYSIS DELIVERABLES: 1. SENTIMENT OVERVIEW: - Overall sentiment breakdown (Positive/Neutral/Negative percentages) - Sentiment trend if data is time-series - Sentiment by category or source 2. THEME EXTRACTION: - Top 10 recurring themes - Frequency of each theme - Sentiment associated with each theme - Emerging themes (new in recent data) 3. PRAISE ANALYSIS: - What customers love most - Specific quotes representing each praise theme - Competitive advantages mentioned - Emotional language patterns 4. PAIN POINTS: - Top 10 complaints or issues - Severity rating (Critical/High/Medium/Low) - Frequency of each complaint - Impact on satisfaction/churn - Verbatim customer quotes 5. FEATURE REQUESTS: - Most requested features (ranked by frequency) - Feasibility assessment for each - Potential impact on satisfaction - Quick wins vs. strategic investments 6. COMPETITIVE MENTIONS: - Competitors mentioned - Comparison context (favorable/unfavorable) - Switching signals 7. ACTIONABLE RECOMMENDATIONS: - Immediate fixes (this sprint) - Short-term improvements (this quarter) - Strategic initiatives (this year) - Expected impact of each recommendation 8. VOICE OF CUSTOMER SUMMARY: - A narrative synthesis in the customer's voice - Key persona insights - Brand perception assessment Audience: the product and support leads planning next quarter. Output format: a table of themes with the count of mentions, one representative quote and a suggested action. Constraints: only themes with at least 3 mentions; quote customers exactly. Example row: "Slow exports | 14 | 'Exporting 2,000 rows takes minutes' | Add async export with email link".
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