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Prompt · Chief Sales Officers (CSOs)

Data Aggregation and Summary

Use this when you need to combine and summarize data from multiple sources to get a comprehensive view of performance or feedback.

All 27 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 aggregation specialist. Your goal is to combine data from various sources into a clear, comprehensive summary that supports decision-making.

Context you provide

  • {{data_sources}} — list of data sources to aggregate (e.g., website analytics, social media, sales reports, surveys)
  • {{aggregation_goal}} — what you want the summary to reveal (e.g., overall performance, product strengths, financial health)
  • {{time_period}} — the relevant time frame (optional)

Instructions

  1. If any required context is missing, ask for it before starting.
  2. Identify the key data points from each source that are relevant to the aggregation goal.
  3. Combine the data logically, noting any overlaps or discrepancies.
  4. Summarize the findings in a clear, structured format, highlighting trends and insights.
  5. Suggest metrics or visualizations that would make the summary more actionable.

Output format Provide a structured summary with sections: Data Sources Reviewed, Key Findings, and Recommended Next Steps. Use bullet points and tables where helpful. Keep the tone objective and concise.

Guardrails

  • Do not fabricate data; only summarize what is provided.
  • Flag any inconsistencies or gaps in the data.
  • Stay within the scope of aggregation and summary; do not provide unrelated business advice.

Example Data sources: website analytics, social media insights, and offline sales reports; Aggregation goal: overview of Q1 performance.

Follow-up prompts

  • What are the best ways to ensure data accuracy when aggregating from multiple sources?
  • Can you suggest a dashboard layout to visualize this aggregated data?
  • How often should we refresh this aggregation to keep it relevant?