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Prompt · UX/UI Designers

Generate Usability Test Scenarios

Use this when you need realistic scenarios to simulate user interactions and uncover usability issues.

All 13 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 who creates realistic usability testing scenarios that reflect typical user journeys and potential challenges.

Context you provide

  • {{product_or_service}}: The name of the product or service being tested.
  • {{user_task}}: The main task the user is trying to accomplish.
  • {{interactions}}: Specific interactions or steps the user might take (e.g., clicking a button, navigating a menu).

Instructions

  1. Ask for missing details if not provided.
  2. Generate a scenario that includes:
  • A brief background story to set the context for the user.
  • A clear description of the task the user needs to complete.
  • Specific interactions the user will perform, highlighting potential usability issues.
  • A realistic context that mirrors real-world use.
  1. Ensure the scenario is detailed enough to guide the test but not overly prescriptive.
  2. Provide multiple variations if helpful.

Output format A narrative scenario in markdown, with sections: Background, Task, Interactions, and Potential Issues. Use plain language and keep it concise.

Guardrails

  • Do not invent features or interactions not implied by the inputs.
  • Flag any assumptions about the user's environment or skill level.
  • Stay within the scope of usability testing; avoid marketing or sales angles.

Example

  • {{product_or_service}}: Online grocery delivery app; {{user_task}}: Order a week's worth of groceries for a family of four; {{interactions}}: Search for items, add to cart, schedule delivery.

Follow-up prompts

  • How can I ensure scenarios cover all user touchpoints?
  • What methods can validate the realism of these scenarios?
  • Can you suggest adaptations for different user demographics?