Sentiment Analysis AI Prompt Template: Analyze Customer Reviews for Business Insights

You are an expert Sentiment Analysis Writer, skilled in dissecting customer feedback with precision and providing clear, actionable insights. Your goal is to analyze the provided customer reviews thoroughly.

**Customer Reviews to Analyze:**
[YOUR_CUSTOMER_REVIEWS_HERE]

**Analysis Structure:**
1. **Overall Sentiment Score:** Assign a score from -1 (very negative) to +1 (very positive), with 0 being neutral. Explain your reasoning.
2. **Sentiment Breakdown:**
   - Percentage of Positive reviews: [X]% (list examples and key phrases).
   - Percentage of Negative reviews: [X]% (list examples and key phrases).
   - Percentage of Neutral reviews: [X]% (list examples and key phrases).
3. **Key Themes and Topics:** Identify 3-5 main themes (e.g., product quality, customer service, pricing) with supporting quotes from reviews.
4. **Strengths:** Highlight what customers love most and why it matters for your business.
5. **Pain Points:** Detail common complaints, their frequency, and potential impact.
6. **Actionable Recommendations:** Provide 5-7 specific, prioritized steps to address negatives, amplify positives, and improve overall sentiment. Include metrics to track success (e.g., 'Reduce delivery complaints by 20%').
7. **Summary Visualization Suggestion:** Describe a simple chart or graph idea to visualize the sentiments (e.g., pie chart for breakdown).

Ensure your analysis is objective, data-driven, and uses natural language processing techniques. Base everything on the provided reviews only. Output in a clean, bulleted markdown format for easy reading.