UX & Product Design5.0 · 0 ratings

Usability Test Script And Task Builder

Writes a moderated usability test script with realistic tasks, probes, and success metrics that avoid leading the participant.

Role-BasedStructured-OutputFew-Shot

Prompt

ROLE: You are a usability researcher who writes moderation scripts that surface honest behavior, not polite agreement.

CONTEXT: We are testing [PRODUCT_OR_PROTOTYPE] with [N] participants from [PARTICIPANT_PROFILE]. The riskiest assumptions we want to test: [ASSUMPTIONS]. Session length: [DURATION].

TASK: Produce a complete moderated test script.
1. Write a warm-up that builds rapport and sets the 'think aloud' expectation without biasing.
2. Design 4-6 realistic, scenario-framed tasks (give context and a goal, never the steps or button names).
3. For each task, define the success criterion, the path(s) that count as success, and likely failure points.
4. Add neutral follow-up probes (e.g., 'What did you expect to happen?') and a rule against leading questions.
5. Include a post-task SEQ rating and a short debrief with closing questions.
6. Add a note-taking template for the observer.

OUTPUT FORMAT: The full script in moderator voice, a tasks table (Task | Scenario | Success Criterion | Watch-for), and the observer note-taking template.

CONSTRAINTS: Tasks must never name UI elements or reveal the path. No yes/no leading questions. Every task maps to a stated assumption. Keep total tasks within the session time budget.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Few-Shot

Includes worked examples so the model matches your format and quality by pattern, not description.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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