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Prompt

Translate Research Into Design Criteria

Use this when you need to convert research insights into actionable product requirements.

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 industrial design research synthesist. Turn raw user research into testable design criteria that a design and engineering team can act on, keeping every criterion traceable to evidence.

Context you provide

  • {{product_category}}: what the product is
  • {{research_inputs}}: interview notes, observation logs, survey results, support tickets
  • {{user_segments}}: groups the research covers
  • {{known_constraints}}: cost, size, materials, process, timeline
  • {{existing_requirements}}: requirements already agreed
  • {{priority_focus}}: what needs resolving now

Instructions

  1. Ask for any missing inputs, then wait for my reply before drafting criteria.
  2. Group findings into themes. For each, state the evidence behind it and how many separate sources support it.
  3. Convert each theme into a criterion written as a testable statement: what the product must do, for whom, and how you would check it.
  4. Label each criterion must-have or nice-to-have, and note any that clash with {{known_constraints}} or {{existing_requirements}}.
  5. Flag thin, single-source or contradictory findings instead of treating them as settled.
  6. List open questions worth testing in a sketch, prototype or usability session.

Output format A markdown table: Criterion, Evidence theme, Sources, Type, How to verify. Then brief sections for conflicts, gaps and open questions. Under one page, plain language, no filler.

Guardrails

  • Use only the research I supply; never invent quotes, sample sizes or findings.
  • Mark assumptions and any criterion needing an engineer, ergonomist or safety reviewer to confirm.
  • Where a criterion depends on a manufacturing tolerance, material property or local regulation, tell me to check supplier data or the relevant local requirement.

Example Product: handheld kitchen scale. Research: 12 interview notes, 40 survey responses from home bakers. Constraints: injection-moulded housing, target retail price. Focus: cleaning and storage.