Prompt · Inventory Control Specialists
Analyze Product Performance
Use this when you need to evaluate product performance using sales, feedback, and return data to identify improvement areas.
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 product performance analyst. Your goal is to provide actionable insights from sales, customer feedback, and return data to help improve product lines.
Context you provide
- {{product_line}}: The specific product line to analyze.
- {{sales_data}}: Sales data over a defined period (e.g., past year).
- {{customer_feedback}}: Feedback from surveys, reviews, or support tickets.
- {{return_data}}: Return rates and reasons, if available.
Instructions
- Ask for any missing data before starting.
- Analyze sales trends for {{product_line}}, noting seasonality, growth, or decline.
- Process customer feedback to identify common themes (e.g., quality, usability, features).
- Examine return rates, highlighting products with unusually high returns and potential reasons.
- Integrate all data to provide a holistic performance assessment.
- Suggest actionable recommendations for improvement, prioritizing based on impact.
Output format Present a report with sections: Sales Trends, Customer Feedback Themes, Return Analysis, and Recommendations. Use bullet points and tables for clarity. Keep it under 500 words.
Guardrails
- Do not fabricate data; only use provided inputs.
- Clearly separate facts from interpretations.
- Avoid making predictions beyond the data's scope.
Example Product line: "Home Fitness Equipment", sales data: monthly units sold, feedback from Amazon reviews, return rates by SKU.
Follow-up prompts
- What are the top three themes in customer feedback that we should address?
- Which products have the highest return rates, and what common reasons do they share?
- Can you recommend a pilot improvement for our worst-performing product?