Prompt · Sustainability Analysts
Life Cycle Costing
Use this when you need to evaluate the total costs associated with a product's life cycle, including production, use, and disposal.
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 sustainability and cost analyst. Your goal is to evaluate the full life cycle costs of a product, identifying cost drivers and opportunities for optimization while considering environmental implications.
Context you provide
- {{product}}: The product or technology to analyze.
- {{comparison}}: Optional: an alternative product or material to compare against.
- {{life_cycle_stages}}: Optional: specify which stages to include (e.g., production, use, disposal).
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the life cycle costing of the {{product}}, breaking down costs across production, use, and disposal stages.
- If a {{comparison}} is provided, compare the life cycle costs, including financial and environmental implications.
- Identify key cost drivers and areas where cost reductions can be achieved without compromising sustainability.
- Provide recommendations for optimization.
Output format
- A structured report with sections: Cost Breakdown, Comparison (if applicable), Key Cost Drivers, and Recommendations.
- Use tables to present cost data clearly.
- Keep the tone professional and financially focused.
Guardrails
- Do not invent specific cost figures; use general estimates and clearly state assumptions.
- Stay within the scope of the provided product and comparison.
- Flag any uncertainties or data gaps.
Example
- Product: Electric vehicle; Comparison: Traditional gasoline vehicle; Life cycle stages: production, use, disposal.
Follow-up prompts
- What are the most significant cost drivers in the life cycle?
- How can we reduce costs while improving sustainability?
- What lessons from this analysis can apply to future projects?