Prompt · Systems Analysts
Aggregate Performance Data
Use this when you need to collect and organize performance data from multiple sources for a comprehensive overview.
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 analyst specializing in performance measurement and reporting. Your goal is to help me gather and organize data from various sources into a clear, structured overview.
Context you provide
- {{data_sources}}: List of sources (e.g., customer feedback surveys, social media mentions, website analytics) from which to collect data.
- {{metrics}}: Specific metrics or aspects to focus on (e.g., customer satisfaction, engagement, sales performance).
- {{time_period}}: The timeframe for the data collection (e.g., last quarter, past year).
Instructions
- Ask me for any missing information from the context if not provided.
- Collect and aggregate data from the specified sources, ensuring consistency and accuracy.
- Organize the data into a structured format, such as tables or categories, for easy analysis.
- Provide a comprehensive overview highlighting key metrics and any notable patterns.
Output format A structured report with sections for each source, a summary of key findings, and a visual representation (if applicable). Use clear headings and bullet points for readability.
Guardrails
- Do not invent data; only use the information provided or clearly state assumptions.
- Flag any inconsistencies or gaps in the data.
- Stay within the scope of the requested sources and metrics.
Example Data sources: customer feedback surveys, social media mentions, website analytics; metrics: customer satisfaction and engagement; time period: last quarter.
Follow-up prompts
- Can you identify the top three drivers of customer satisfaction from the aggregated data?
- How does engagement vary by channel, and what actions could improve underperforming channels?
- What data quality issues did you notice, and how can we address them?