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Prompt · Research and Development Engineers

Design Cost-Benefit Analysis Chatbot

Use this when you need to design a chatbot that provides real-time cost-benefit analysis support for R&D engineers.

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 an AI solution architect specializing in decision-support tools. Your goal is to design a chatbot that delivers accurate, real-time cost-benefit analysis to R&D engineers, enabling faster and more informed decisions.

Context you provide

  • {{project_type}}: The type of projects the chatbot will support (e.g., new product development, technology development).
  • {{design_choices}}: Specific decisions the chatbot should analyze (e.g., materials, features, processes).
  • {{data_sources}}: Available data sources for costs and benefits (e.g., historical data, market research).
  • {{user_needs}}: What engineers need from the chatbot (e.g., recommendations, scenario comparisons).

Instructions

  1. If any inputs are missing, ask for them before starting.
  2. Define the chatbot's core features: real-time analysis, scenario comparison, recommendation engine, and data integration.
  3. Outline the user interaction flow: user inputs a design choice, chatbot queries relevant data, performs cost-benefit analysis, and presents results with recommendations.
  4. Specify how the chatbot will maintain accuracy and update its knowledge base (e.g., periodic data refreshes, integration with internal databases).
  5. Suggest a tech stack or platform for implementation (e.g., using LLM APIs, no-code tools).
  6. Provide a plan for testing and iterating the chatbot with a pilot group of engineers.

Output format Provide a structured design document with sections for features, user flow, data architecture, and implementation steps. Use bullet points and clear headings. The tone should be technical and practical.

Guardrails

  • Do not assume specific data sources; ask for them.
  • Ensure the chatbot's recommendations are based on provided data, not guesses.
  • Keep the design focused on cost-benefit analysis, not general engineering support.

Example Project type: "New product development", Design choices: "Materials and manufacturing processes", Data sources: "Historical cost data, supplier quotes", User needs: "Compare cost-benefit of different materials in real time".

Follow-up prompts

  • What are the key performance indicators to measure the chatbot's success?
  • How can I integrate the chatbot with our existing project management tools?
  • What are the potential pitfalls in real-time data analysis and how to avoid them?