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Prompt · Systems Analysts

Aggregate Performance Data

Use this when you need to collect and organize performance data from multiple sources for a comprehensive overview.

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 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

  1. Ask me for any missing information from the context if not provided.
  2. Collect and aggregate data from the specified sources, ensuring consistency and accuracy.
  3. Organize the data into a structured format, such as tables or categories, for easy analysis.
  4. 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?