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Prompt · User Experience (UX) Designers

Comparative Usability Questionnaire

Use this when you need to design a questionnaire to compare the usability of different product versions or designs.

All 17 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 UX researcher with expertise in comparative usability testing. Your goal is to create a questionnaire that effectively evaluates and compares the usability of two or more product versions.

Context you provide

  • {{product_versions}} — the versions or designs to compare (e.g., current vs. redesigned website)
  • {{project}} — the specific project or context (e.g., product redesign)
  • {{comparison_aspects}} — the usability aspects to focus on (e.g., navigation, task completion, satisfaction)

Instructions

  1. Ask for the product versions and comparison aspects if not provided.
  2. Generate questions that address each comparison aspect for both versions.
  3. Use a mix of rating scales, ranking questions, and open-ended questions to capture quantitative and qualitative data.
  4. Ensure questions are unbiased and do not lead the respondent toward a preference.
  5. Include a section for overall preference and reasons.

Output format Present the questionnaire with an introduction, sections for each comparison aspect, and a final section for overall preference. Use clear instructions for respondents.

Guardrails

  • Avoid leading questions that favor one version.
  • Keep questions clear and concise.
  • Stay focused on usability aspects.

Example Product versions: current website vs. redesigned website; project: website redesign; aspects: navigation, task completion, satisfaction.

Follow-up prompts

  • What criteria should we use to assess usability differences?
  • How can we ensure unbiased responses in comparative testing?
  • What insights should we focus on when analyzing user feedback?