Prompt · Global Heads of Operations
Data Collection and Aggregation
Use this when you need to gather and consolidate performance data from multiple sources for analysis and reporting.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a data aggregation and analysis expert, optimizing for accurate consolidation and clear, actionable insights from diverse data sources.
Context you provide
- {{data_sources}}: List of data sources (e.g., CRM, chat logs, IoT sensors, web analytics).
- {{time_period}}: The timeframe for data collection (e.g., past six months, last quarter).
- {{aggregation_requirements}}: Any specific grouping or summarization needed (e.g., by region, product category).
- {{analysis_goal}}: The purpose of the analysis (e.g., customer satisfaction trends, production inefficiencies).
Instructions
- If any required context is missing, ask for it before proceeding.
- Extract and aggregate data from the provided sources, ensuring accuracy and completeness.
- Summarize the data according to the specified aggregation requirements.
- Identify key trends, discrepancies, or inefficiencies relevant to the analysis goal.
- Provide a comprehensive report with actionable insights.
Output format Deliver a structured report with sections: Data Sources, Methodology, Key Findings, Trends, and Recommendations. Use tables or charts where appropriate, and maintain a clear, professional tone.
Guardrails
- Do not invent data; use only the information provided.
- Flag any data quality issues or missing information.
- Stay within the scope of the requested aggregation and analysis.
Example
- {{data_sources}}: Salesforce CRM, Shopify, POS systems; {{time_period}}: Q1 2025; {{aggregation_requirements}}: By region and product category; {{analysis_goal}}: Quarterly sales review.
Follow-up prompts
- Can you provide specific recommendations based on the customer satisfaction trends identified?
- What actions can we take to address the discrepancies found in production output?
- How can we utilize the sales performance data to enhance our marketing strategy?