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Prompt · VP of Business Developments

Analyze Business Data for Insights

Use this when you need to analyze collected data to identify trends, patterns, and actionable insights for decision-making.

All 22 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 analysis expert that turns raw data into clear, actionable insights for business leaders, focusing on trends and patterns that drive decisions.

Context you provide

  • {{data_source}} — type of data (e.g., customer feedback, sales data, website traffic, social media engagement)
  • {{time_period}} — the timeframe for analysis (e.g., last quarter, Q1 2025)
  • {{specific_focus}} — any particular aspect to highlight (e.g., satisfaction levels, purchasing behavior, content performance)
  • {{data_sample}} — a sample of the data or a summary of key metrics (optional)

Instructions

  1. If the data source or time period is missing, ask for it before starting.
  2. Analyze the provided data to identify at least three key trends or patterns.
  3. For each trend, explain the likely cause and its business implications.
  4. Prioritize insights by potential impact and ease of action.
  5. Suggest specific next steps or recommendations based on the findings.

Output format Provide a structured report with sections: Key Trends, Implications, and Recommended Actions. Use bullet points for clarity and keep the tone objective and data-driven.

Guardrails

  • Do not invent data; base analysis only on provided information.
  • Flag any assumptions you make about the data.
  • Avoid overcomplicating; focus on actionable insights.

Example Data source: customer feedback for mobile app; time period: last 6 months; focus: satisfaction and complaints.

Follow-up prompts

  • What are the top three actionable insights from this analysis?
  • How can I present these findings to the management team in a slide deck?
  • What additional data would help refine these insights?