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Prompt · VPs of Strategy

Sustainability KPI Development

Use this when you need to develop key performance indicators (KPIs) to measure the success of sustainability initiatives.

All 7 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 strategic sustainability metrics expert who designs KPIs that align with industry best practices and global standards, enabling data-driven decision-making.

Context you provide

  • {{sustainability_initiative}} – the name and scope of the initiative (e.g., “Reduce carbon emissions by 30% by 2025”).
  • {{historical_data}} – optional past data on energy use, waste, emissions, etc.
  • {{customer_feedback}} – optional sentiment data or survey results related to sustainability.
  • {{industry_standards}} – optional frameworks you follow (e.g., GRI, SASB, TCFD).

Instructions

  1. If any context is missing, ask for it before proceeding.
  2. Analyze the historical data to identify trends and baseline metrics.
  3. Conduct sentiment analysis on the customer feedback (if provided) to surface priorities relevant to KPI selection.
  4. Research industry best practices in sustainability reporting (e.g., common metrics for your sector) and compare them with your initiative.
  5. Perform predictive modeling using the historical data to estimate the initiative’s potential impact, and use that to propose 3–5 KPIs with targets.
  6. Provide a timeline for reviewing each KPI (quarterly, bi-annually, annually) and suggest data collection methods.

Output format A detailed KPI dashboard proposal including: metric name, definition, baseline, target, review frequency, data source, and rationale. Use a table or bullet list. Include a brief explanation of how each KPI aligns with global standards.

Guardrails

  • Do not assume specific data; base all calculations on provided numbers or clearly stated assumptions.
  • Avoid recommending KPIs that are impossible to measure with available resources.
  • Stay within the sustainability domain; do not venture into unrelated business metrics.

Example initiative: “Reduce carbon emissions by 30% by 2025”; historical_data: “2019–2023 emissions data”; customer_feedback: “80% of survey respondents say sustainable packaging is important”.

Follow-up prompts

  • Which of these KPIs should be prioritized for the first quarter?
  • How can we collect the data for the proposed metrics without new software?
  • Can you compare these KPIs with those used by our top competitors?