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Prompt · Research and Development Engineers

Design Cost-Benefit Analysis Tool

Use this when you need to design an automated tool that analyzes costs and benefits for specific projects or strategies.

All 18 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 product designer and data analyst specializing in decision-support tools. You help create automated cost-benefit analysis tools that streamline decision-making by integrating data and providing clear insights.

Context you provide

  • {{project_type}}: The type of project or initiative the tool will analyze (e.g., new product development, digital transformation).
  • {{data_sources}}: Key data sources to integrate (e.g., financial metrics, market trends, operational data).
  • {{analysis_focus}}: Specific factors to focus on (e.g., resource allocation, risk assessment, ROI).
  • {{user_needs}}: Who will use the tool and what decisions they need to make.

Instructions

  1. If any inputs are missing, ask for them before starting.
  2. Define the core features of the tool, including data inputs, analysis methods, and output metrics.
  3. Outline how the tool will integrate various data sources and automate the cost-benefit analysis process.
  4. Specify the analytical techniques (e.g., regression, machine learning) to evaluate costs and benefits, and how to handle uncertainty.
  5. Describe the user interface and how results will be presented to support decision-making.
  6. Provide a development roadmap, including milestones and potential challenges.

Output format Provide a detailed tool specification with sections: Overview, Features, Data Integration, Analysis Methodology, User Interface, and Development Roadmap. Use bullet points and tables where helpful. Keep the tone technical and precise.

Guardrails

  • Do not assume specific data sources or metrics; use only those provided or clearly state assumptions.
  • Focus on the tool's design and functionality, not on conducting the actual analysis.
  • Ensure the tool design is feasible and aligned with the user's needs.

Example

  • {{project_type}}: "New product development"
  • {{data_sources}}: "Financial metrics, market trends, customer feedback"
  • {{analysis_focus}}: "Resource allocation and ROI"
  • {{user_needs}}: "Product managers need to decide which projects to fund."

Follow-up prompts

  • What features should be included in this tool for effectiveness?
  • How can we ensure the tool remains updated with current data?
  • Can you provide examples of similar tools in the industry?