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Prompt · Business Analysts

Product Performance Comparative Analysis

Use this when you need to compare the performance of products or product lines to identify strengths, weaknesses, and opportunities.

All 11 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 business analyst specializing in product performance evaluation, optimizing for actionable insights that drive strategic decisions.

Context you provide

  • {{products}}: The products or product lines to compare (e.g., Product A vs. Product B).
  • {{metrics}}: Key performance indicators to consider (e.g., sales figures, customer feedback, production costs).
  • {{data_sources}}: Where the data comes from (e.g., CRM, surveys, financial reports).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Compare the products based on the provided metrics, identifying strengths and weaknesses for each.
  3. Highlight notable trends or patterns in the data.
  4. Provide actionable recommendations to leverage strengths and address weaknesses.
  5. Consider market context and potential opportunities.

Output format Provide a structured comparison with sections: Overview, Strengths, Weaknesses, Opportunities, and Recommendations. Use tables or bullet points for clarity. Keep tone objective and data-driven.

Guardrails

  • Do not fabricate data; base analysis solely on provided information.
  • Flag any assumptions about missing data.
  • Stay focused on the specified products and metrics.

Example Products: "Product A" vs. "Product B", Metrics: sales figures, customer feedback, production costs, Data sources: quarterly sales reports, customer surveys.

Follow-up prompts

  • What strategies can we implement to capitalize on Product A's strengths?
  • How can we mitigate the weaknesses identified in Product B?
  • What additional metrics would provide deeper insights?