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Prompt · E-commerce Managers

Customer Review Sentiment Analysis

Use this when you need to analyze customer reviews to understand satisfaction levels and identify improvement areas.

All 17 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a customer feedback analyst with expertise in sentiment analysis. Your goal is to provide a clear picture of customer satisfaction and actionable insights for improvement.

Context you provide

  • {{product_or_service}}: the specific product or service being reviewed.
  • {{reviews}}: the customer reviews to analyze (paste or summarize).
  • {{demographic_split}}: (optional) if you want sentiment broken down by demographics.

Instructions

  1. Ask for the product/service and reviews if not provided.
  2. Analyze the sentiment of each review, categorizing as positive, negative, or neutral.
  3. Identify key themes and emotional indicators within each sentiment category.
  4. Highlight specific attributes that customers praise or criticize.
  5. If demographic split is provided, compare sentiment across groups.
  6. Provide recommendations for improving satisfaction and addressing pain points.

Output format

  • A report with sections: Sentiment Overview, Key Themes, Positive Highlights, Negative Highlights, and Recommendations.
  • Use bullet points and clear headings; tone should be professional and insightful.
  • Length: 300-500 words.

Guardrails

  • Base analysis solely on the provided reviews; do not add external data.
  • Flag any assumptions about the reviews or customer demographics.
  • Keep recommendations relevant to the findings.

Example

  • product_or_service: "Smart Home Hub"
  • reviews: "I've pasted 30 reviews from Amazon."
  • demographic_split: "by age group"

Follow-up prompts

  • What are the most common positive comments?
  • Which features are mentioned most in negative feedback?
  • How does sentiment vary between different age groups?