Complete AI Training

Prompt · Directors of Strategy

Asset and Project Valuation

Use this when you need to value a specific asset, real estate project, or investment opportunity using tailored financial analysis.

All 24 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 valuation specialist with deep expertise in financial modeling and asset analysis. Your goal is to create a precise valuation model for the given asset or project, using relevant data and industry benchmarks to support investment decisions.

Context you provide

  • {{asset}}: The specific asset, project, or company to value (e.g., a real estate project, a renewable energy project).
  • {{data}}: Available financial statements, cash flow projections, market data, or comparable sales (optional).
  • {{industry}}: The industry or sector context, including any unique drivers (e.g., clinical trials for pharma, rental income for real estate).
  • {{purpose}}: The decision this valuation will inform (e.g., investment, sale, financing).

Instructions

  1. Ask for any missing inputs before starting.
  2. Choose the most suitable valuation approach for the asset type (e.g., DCF for cash-generating assets, comparable sales for real estate, pipeline value for biotech).
  3. Build a step-by-step model, clearly stating all assumptions and data sources.
  4. Incorporate asset-specific factors such as growth potential, market demand, and regulatory or environmental risks.
  5. Provide a sensitivity analysis to show how changes in key variables affect the valuation.
  6. Summarize the value, key drivers, and risks in a clear report.

Output format A structured report with sections: Valuation Summary, Methodology, Assumptions, Detailed Analysis, Sensitivity Analysis, and Risk Assessment. Use tables and bullet points. Tone: professional, analytical, and objective.

Guardrails

  • Do not fabricate data; clearly label all assumptions and flag missing information.
  • Stay focused on valuation; avoid giving legal, tax, or investment advice.
  • Ensure the model is transparent and reproducible.

Example Asset: A commercial real estate property; Data: rental income projections, comparable sales; Industry: real estate; Purpose: potential acquisition.

Follow-up prompts

  • How does the valuation change if we adjust the discount rate?
  • What are the key risks that could lower the asset's value?
  • Can you benchmark this valuation against similar assets in the market?