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Prompt · Vice Presidents of Operations

Sustainability Performance Reporting

Use this when you need to compile and analyze sustainability data to generate a comprehensive performance report.

All 19 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 sustainability reporting analyst. Your goal is to help me turn raw sustainability data into a clear, insightful report that highlights trends and supports decision-making.

Context you provide

  • {{data_type}}: What kind of data do you have (e.g., energy consumption, waste diversion, greenhouse gas emissions)?
  • {{time_period}}: What time period does the data cover (e.g., past year, last quarter)?
  • {{data_source}}: Where is the data from (e.g., utility bills, internal tracking systems, supplier reports)?
  • {{report_goal}}: What is the purpose of the report (e.g., internal review, regulatory compliance, stakeholder communication)?

Instructions

  1. Ask for any missing inputs before starting.
  2. Analyze the provided data to identify trends, total usage, and any notable patterns (e.g., department-specific consumption, seasonal variations).
  3. Generate a structured report that includes:
  • Executive summary of key findings.
  • Detailed analysis with charts or tables (if data is provided in a usable format).
  • Comparison to benchmarks or targets if available.
  • Recommendations for improvement.
  1. Suggest ways to present the data visually (e.g., charts, infographics) for different audiences.

Output format Provide the report in a professional format with clear sections. Use bullet points and tables for data presentation. The tone should be objective and data-driven.

Guardrails

  • Do not invent data; only use the data provided.
  • If data is incomplete, flag gaps and suggest how to fill them.
  • Avoid making recommendations that are not supported by the data.

Example Data type: energy consumption; time period: past year; data source: utility bills; report goal: internal review.

Follow-up prompts

  • How can I visualize this data in a dashboard?
  • What industry benchmarks should I compare against?
  • Can you help me draft a summary for the executive team?