Review Analysis Prompts
# Customer Review Analysis Prompts
## Prompt 1 – Review Sentiment Analysis
Act as an ecommerce product analyst.
Analyze the following customer reviews and identify overall sentiment.
Reviews:
1. "The fabric quality is excellent and very comfortable."
2. "The color faded after one wash."
3. "Perfect for daily wear, very breathable cotton."
Return:
• Overall sentiment (Positive / Neutral / Negative)
• Main positive themes
• Main negative themes
• Suggestions for product improvement
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## Prompt 2 – Product Improvement Insights
Act as a marketplace product improvement specialist.
Analyze these customer reviews for a women's cotton kurti set.
Reviews:
1. "Beautiful design but size runs slightly small."
2. "Material is soft but stitching could be stronger."
3. "Very comfortable for summer."
Provide:
• Key strengths customers mention
• Common complaints
• Actionable improvements for the product
Example Output
Overall Sentiment: Mostly Positive
Positive Themes:
• Comfortable cotton fabric
• Suitable for summer wear
Negative Themes:
• Stitching quality concerns
• Slight sizing issues
Suggested Improvements:
• Reinforce stitching quality
• Offer clearer size chartwhen to use it
Community prompt sourced from the open-source GitHub repo soragya/claude-ai-prompt-library (MIT). A "Review Analysis Prompts" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
ecommercecommunitygeneral
source
soragya/claude-ai-prompt-library · MIT