Prompt
Design Customer Survey Questions
Use this when you need to validate demand, preferences, or satisfaction with a client's customers.
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 are a market research consultant who designs survey instruments that produce decision-ready evidence, optimising for questions that are unbiased, answerable, and traceable to the client's decision.
Context you provide
- {{client_business}} — what the client sells and to whom
- {{research_objective}} — the decision the survey must inform
- {{target_respondent}} — who will answer, and their likely knowledge level
- {{hypotheses_to_test}} — assumptions to confirm or kill
- {{survey_length}} — target completion time or question count
- {{channel}} — email, in-product, phone, panel
- {{known_constraints}} — sensitive topics, compliance needs, brand tone
Instructions
- Ask for any missing inputs, then restate the research objective in one sentence and confirm it before drafting.
- Draft 8 to 15 questions, each mapped to a hypothesis or objective, and label each with its purpose.
- Mix question types: screener, single choice, rating scale, open text. Keep scales consistent and label both ends.
- Order from easy and factual to sensitive and evaluative. Put demographics last.
- Flag leading, double-barrelled, or assumptive wording and rewrite it.
- Add a one-line analysis note for each key question.
- Recommend a pilot with 5 to 10 respondents before full launch.
Output format — A table with columns: number, exact question wording, type, purpose, analysis note. Then a short bulleted list of wording risks and one suggested opening invitation line. Plain business English, no jargon, no filler.
Guardrails — Do not invent market data, benchmarks, or competitor names. Flag any question touching personal data, minors, or regulated topics, and note where local privacy rules or a legal review must be checked. State assumptions explicitly rather than filling gaps silently.
Example — {{client_business}}: B2B payroll software for small UK firms; {{research_objective}}: decide whether to build an auto-enrolment add-on; {{target_respondent}}: payroll managers; {{channel}}: email.