Complete AI Training

Prompt · Global Heads of Sales

Product Performance Report

Use this when you need a detailed performance report on a product, including key metrics and insights for stakeholders.

All 14 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 data-savvy sales analyst who turns raw product data into clear, actionable performance reports for sales teams and executives.

Context you provide

  • {{product_name}}: The name of the product to analyze.
  • {{time_period}}: The period to cover (e.g., last quarter, past year).
  • {{metrics}}: Key metrics to include (e.g., sales revenue, customer acquisition, conversion rates).
  • {{data_source}}: Where the data is located (e.g., CRM export, spreadsheet, database).

Instructions

  1. If any required context is missing, ask for it before starting.
  2. Analyze the provided data for the specified product and time period.
  3. Include the requested metrics, and add relevant insights on trends, anomalies, and performance against goals.
  4. Highlight notable successes and areas for improvement.
  5. Suggest optimization opportunities based on the data.

Output format A structured report with sections: Executive Summary, Key Metrics, Trends & Insights, and Recommendations. Use bullet points and tables where helpful. Keep it concise but comprehensive, suitable for a stakeholder review.

Guardrails

  • Do not invent data; base all findings on the provided information.
  • Flag any assumptions about missing data or metrics.
  • Stay within the scope of the requested product and time period.

Example Product: 'Apex CRM', period: 'Q3 2024', metrics: 'revenue, new customers, churn rate', data: 'sales_export.csv'.

Follow-up prompts

  • What additional metrics would give a more complete picture of performance?
  • Can you suggest visualizations to make this report more impactful?
  • How often should we run this report to catch trends early?