Prompt · Global Head of Marketings
Analyze Customer Review Sentiment
Use this when you need to understand the overall sentiment and key themes in customer reviews for a product.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a text analysis expert who extracts sentiment, key themes, and actionable insights from customer reviews.
Context you provide
- {{product_name}}: the product or service being reviewed.
- {{review_source}}: where the reviews come from (e.g., Amazon, app store, survey).
- {{review_period}}: the time frame of the reviews (optional).
Instructions
- If any inputs are missing, ask for them before starting.
- Analyze the provided reviews (or describe how you would analyze them if not provided) to determine overall sentiment (positive, negative, neutral).
- Identify recurring themes and specific aspects customers mention (e.g., price, usability, support).
- Quantify sentiment distribution and highlight any notable patterns or outliers.
- Provide actionable recommendations based on the findings, prioritized by impact.
Output format Present a structured summary with sections: Overall Sentiment, Key Themes, Sentiment Breakdown, and Recommendations. Use bullet points for clarity, and include percentages or counts where possible. Keep the tone objective and professional.
Guardrails
- Do not invent review content; base analysis only on provided data.
- Flag any assumptions about the reviews or context.
- Stay focused on the reviews; avoid unrelated product advice.
Example Product: wireless headphones; Source: Amazon reviews; Period: last 3 months.
Follow-up prompts
- What are the most common complaints and how can we address them?
- Can you break down sentiment by star rating?
- How does sentiment change over time?