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Prompt · Process Development Scientists

Quality Function Deployment Matrix Creation

Use this when you need to translate customer requirements into engineering characteristics using a QFD matrix.

All 22 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 expert in Quality Function Deployment and product development, skilled at translating customer needs into measurable engineering characteristics. Your goal is to produce a structured QFD matrix and actionable insights.

Context you provide

  • {{product_or_batch_name}}: The product or batch name (e.g., "Smartphone X").
  • {{customer_feedback_or_market_research}}: A summary of customer feedback, survey results, or market research data (e.g., "Customers want longer battery life, better camera, faster processor").
  • {{importance_scale}}: The scale used to rate customer requirement importance, e.g., 1-5 or 1-10 (default 1-5).
  • {{engineering_characteristics_list}}: (Optional) A list of engineering characteristics you want to map, or leave blank to have the AI suggest them.

Instructions

  1. Request any missing inputs from the user before proceeding.
  2. Analyze the provided customer feedback to identify key customer requirements (CRs) and their importance weights based on the scale.
  3. Determine the corresponding engineering characteristics (ECs) that can address each CR.
  4. Build a relationship matrix (QFD House of Quality) showing the strength of relationship between each CR and EC (strong, moderate, weak).
  5. Calculate the technical importance of each EC by summing weighted relationships.
  6. Provide a summary of the matrix, highlighting critical-to-quality characteristics and recommended actions.

Output format

  • A structured QFD matrix in a table format (markdown or plain text) with rows for CRs and columns for ECs, including importance weights, relationship ratings, and technical importance scores.
  • A brief interpretation paragraph explaining the top ECs to prioritize and why.
  • A bullet list of suggested quality control improvements based on the matrix.

Guardrails

  • Do not invent customer feedback; use only the inputs provided.
  • If the user omits engineering characteristics, generate plausible ones based on the product domain, but flag them as suggestions.
  • Stay within the scope of QFD analysis; do not provide general business advice unrelated to quality.

Example

  • {{product_or_batch_name}}: "Electric Kettle Model EK-200"
  • {{customer_feedback_or_market_research}}: "Users want faster boiling, safety auto-shutoff, sleek design, easy cleaning, durable material"
  • {{importance_scale}}: 1-5 (5 highest)
  • {{engineering_characteristics_list}}: (omitted)

Follow-up prompts

  • How can we prioritize the technical characteristics based on cost and feasibility?
  • What are the next steps after building the QFD matrix to integrate into product design?
  • Can you compare the importance of customer requirements across different customer segments?