Create a discussion guide for an unmoderated UX research session
Use case
Use this when running unmoderated remote tests where you can't probe in real time. Bad guides produce useless videos; good ones produce findings you can act on. Best for prototype validation, onboarding tests, and IA tree tests where you have 15–30 minutes of a participant's time and one shot to learn what you need.
The prompt
You are a senior UX researcher writing a discussion guide for an unmoderated study. The guide must work without a human moderator — every question and task must be self-explanatory and bias-resistant. Context: - Product / prototype:{{product}}- Research goal (one sentence):{{goal}}- Specific questions you want answered:{{questions}}- Target participant:{{target_participant}}- Platform:{{platform}}- Session length budget (minutes):{{session_length}}Produce the guide in this exact structure: 1. Screener (3–5 questions). Multiple choice where possible. Include at least one "trap" question that filters out participants who don't actually match the target. 2. Warm-up (2 questions, ~3 min). Get the participant talking and oriented — their context, not your product yet. 3. Tasks (2–4 tasks, scoped to fit the session length). For each task: a realistic scenario, the task instruction (action-oriented, no leading language), success criteria for the participant, and a "post-task probe" — 1–2 follow-up questions that work even when no one's listening. 4. Wrap-up (2–3 questions). Capture overall impressions, comparisons to current tools, and willingness to use. 5. Bias check. List 2–3 specific phrases or framings you avoided in this guide and why. Rules: - Never ask "Did you find that easy?" — ask "What did you do to figure that out?" - Never describe what something is supposed to do before the task. Let the participant discover it. - Avoid "How would you feel if..." — ask about past behavior, not hypothetical reactions. - Tasks should describe outcomes ("Find a robot that needs maintenance"), not UI paths ("Click on Maintenance"). Output: the guide, structured exactly as above.
Variables
{{{{product}}}}Replace with your {{product}}{{{{goal}}}}Replace with your {{goal}}{{{{questions}}}}Replace with your {{questions}}{{{{target_participant}}}}Replace with your {{target participant}}{{{{platform}}}}Replace with your {{platform}}{{{{session_length}}}}Replace with your {{session length}}
Example
Input
product: Cresta Health patient intake prototype (Figma) — replaces a paper form for new-patient appointments goal: Validate that patients can complete intake on their own phone in the waiting room without staff help questions: Can they finish in <8 minutes? Do they understand consent language? Do they trust giving insurance info on a phone they were handed? target_participant: US adults 25–65 who've seen a new doctor in the past 12 months and are not in healthcare professionally platform: UserTesting (mobile only) session_length: 20
Output
1. Screener - In the past 12 months, have you started seeing a new doctor or specialist? (Yes / No — exclude No) - Do you or anyone in your immediate household work in healthcare, health tech, or medical insurance? (Yes / No — exclude Yes) - When you last visited a new doctor's office, what did you fill out before being seen? (paper forms / a tablet they handed me / nothing / I don't remember — exclude "I don't remember") - Which of these have you used on your phone in the past month? (banking app / health insurance app / DMV / food delivery — multi-select; trap: must select at least one) - On a scale of 1–5, how comfortable are you entering personal information on a phone someone hands you in a waiting room? (any answer ok; we want a spread) 2. Warm-up (~3 min) - Walk me through what happened the last time you visited a new doctor's office, from arriving to being called back. What was that like? - When you've been handed forms or a tablet at a doctor's office, what's gone well? What's been frustrating? 3. Tasks (~14 min) Task 1 — Start intake Scenario: "You've just arrived at a new doctor's office. The receptionist hands you this phone and asks you to complete intake before you're seen. Begin." Success: Participant reaches the first form field. Probes: What did you expect to happen when you started? Anything surprise you on this first screen? Task 2 — Add insurance Scenario: "Continue through the intake. When you reach insurance, use this card." (Show participant a generated insurance card image with name, ID, group.) Success: Insurance fields populated correctly. Probes: Was there anything you weren't sure how to enter? Anything you felt unsure about sharing? Task 3 — Consent Scenario: "Keep going until you reach the consent step. Decide whether you'd sign and continue, or stop. Do whatever you'd actually do." Success: Participant makes an explicit choice to sign or decline. Probes: In your own words, what were you agreeing to? Was anything in that section unclear or concerning? 4. Wrap-up - How did this compare to filling out forms at doctors' offices you've been to recently? - If your own doctor's office switched to this tomorrow, what would you want changed first? - Was there a moment in this you wanted to stop or hand the phone back? When? 5. Bias check - Avoided "Was that easy?" throughout — replaced with "What did you do to figure that out?" which captures behavior even when participants are being polite. - Avoided describing the prototype as "new" or "improved" — participants praise novelty by default. - Avoided "Would you use this?" in wrap-up — replaced with a behavioral comparison to their actual recent experiences, which is far more predictive.
Tips for best results
- 1Read every task instruction out loud. If you can hear yourself leading the participant, rewrite it.
- 2Trap screener questions catch 10–20% of unqualified participants on most platforms. Always include one.
- 3Post-task probes work because participants narrate while completing them. You'll hear what was hard even if they say it was easy.
- 4Cap unmoderated sessions at 20 minutes. Quality drops sharply after that even with engaged participants.
- 5After fielding, watch the first 3 sessions before launching to all 15. You'll catch a broken task or unclear instruction before it ruins the dataset.
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