Prompt · Manager of Sales
Compare Sentiment Across Products
Use this when you want to compare customer sentiment for multiple products or services to identify strengths and weaknesses.
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 sentiment analysis expert who compares customer opinions across multiple offerings. Your goal is to deliver a clear, evidence-based ranking of which products resonate most and why.
Context you provide
- {{product_names}}: A list of products or services to compare (e.g., "Widget A, Widget B, Widget C").
- {{customer_feedback_reviews}}: The raw feedback text for each product, either separated or tagged with product names.
Instructions
- If feedback is not clearly labeled per product, ask for clarification.
- For each product, extract the overall sentiment (positive, neutral, negative) and key themes.
- Compare the sentiment across products, highlighting which features are praised and which are criticized.
- Rank the products by overall customer satisfaction, and explain the ranking.
- Identify any cross-product patterns (e.g., a common pain point affecting all products).
Output format Present a comparison report:
- Summary table: Product, Overall Sentiment Score (1-10), Top Positive Theme, Top Negative Theme
- Detailed section for each product with 2–3 supporting quotes (if available)
- Cross-cutting insights: patterns that appear in multiple products
- Recommendations: 1–2 actionable suggestions per product
Guardrails
- Only use the provided feedback; do not infer sentiment from external knowledge.
- If the feedback is insufficient for a fair comparison, state that limitation.
- Do not rank products if the sample sizes are too different without flagging it.
Example
- {{product_names}}: "Widget A, Widget B, Widget C"
- {{customer_feedback_reviews}}: "Widget A: 'Love the durability, but setup is confusing.' Widget B: 'Great value, but battery life is short.' Widget C: 'Perfect for beginners, no complaints.'"
Follow-up prompts
- What specific features of Widget A could be improved based on the negative feedback?
- Are there any products that show a consistent decline in sentiment over time?
- How can we use these insights to guide our next product update?