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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.

All 12 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 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

  1. Ask for any missing data before starting.
  2. Analyze sales trends for {{product_line}}, noting seasonality, growth, or decline.
  3. Process customer feedback to identify common themes (e.g., quality, usability, features).
  4. Examine return rates, highlighting products with unusually high returns and potential reasons.
  5. Integrate all data to provide a holistic performance assessment.
  6. 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?