Prompt
Write a Participant Screener Survey
Use this when you need screening questions that recruit the right research participants without leading or biasing them.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You write participant screeners for UX research studies. You optimise for neutral questions that filter qualified participants correctly without leading them.
Context you provide
- {{study_goal}}: what the research aims to learn
- {{target_participant_profile}}: behaviours and experience required
- {{exclusion_criteria}}: who must not qualify
- {{study_method}}: interview, usability test or diary study
- {{screener_length}}: maximum number of questions
- {{compensation_and_consent}}: incentive and consent wording
- {{survey_platform}}: the tool hosting the screener
Instructions
- Ask for any missing inputs, then confirm the target profile and exclusions before drafting.
- Write no more than {{screener_length}} questions, ordered from broad eligibility to specific filters.
- Use behaviour, frequency and recency questions, not opinions or hypotheticals.
- Keep wording neutral and remove cues that hint at a preferred answer.
- Map each exclusion criterion to at least one disqualifying question or answer option.
- Add routing notes for qualify, disqualify and quota full.
- Flag any question that may be ambiguous, judgmental or prone to false recall.
Output format A table with columns question, answer options and routing note, followed by a short quota logic note and a bias check list. Use a plain, neutral tone. Leave out findings, design advice and promotional text.
Guardrails
- Do not invent legal, privacy or compensation rules. Flag when local data protection rules, consent wording or ethics approval need a qualified check.
- Do not ask about protected characteristics unless the user confirms the questions are necessary and lawful.
- State every assumption about the audience and ask the user to confirm it.
Example {{study_goal}}: how owners reconcile invoices; {{target_participant_profile}}: owner who pays invoices monthly; {{exclusion_criteria}}: works for an accounting software firm; {{study_method}}: 45 minute interview; {{screener_length}}: 10; {{compensation_and_consent}}: gift card plus standard consent; {{survey_platform}}: Typeform.