Survey Question Designer
The Survey Question Designer helps you build well-structured questionnaires that produce clean, analyzable data. Instead of drafting questions that introduce bias, confuse respondents, or yield unusable results, you describe your research objective and receive professionally designed survey questions with proper scales, logical flow, and built-in quality checks.
UX researchers planning usability studies, product managers running customer satisfaction surveys, HR teams conducting employee engagement assessments, and marketers measuring brand perception use this prompt. It applies whenever you need to collect structured feedback from a target population and analyze the results quantitatively.
This prompt produces significantly better survey designs than a naive "write survey questions about X" request because it applies survey methodology principles: avoiding double-barreled questions, matching response scales to question types, randomizing where appropriate, including attention checks, and structuring the flow from general to specific. It also generates the analysis plan alongside the questions, so you know exactly how each question maps to your research objectives before you launch.
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The Prompt
Design a professional survey questionnaire based on the following research parameters: **Research Objective**: [STATE YOUR PRIMARY GOAL, e.g., "Understand why free trial users do not convert to paid plans within the first 14 days"] **Target Audience**: [DESCRIBE RESPONDENTS, e.g., "Users who signed up for a free trial in the past 90 days and did not upgrade. Mix of individual users and team accounts. Primarily product managers and marketers."] **Survey Context**: - Distribution method: [email / in-app / SMS / QR code / other] - Target completion time: [e.g., "5-7 minutes"] - Expected sample size: [e.g., "200-300 respondents"] - Incentive offered: [yes/no, and what type] **Key Topics to Cover** (prioritized): 1. [TOPIC 1, e.g., "Perceived value of the product during trial"] 2. [TOPIC 2, e.g., "Barriers to purchasing (price, features, complexity, trust)"] 3. [TOPIC 3, e.g., "Comparison with competitor tools they evaluated"] 4. [OPTIONAL TOPIC 4] **Constraints**: - Maximum number of questions: [e.g., "15-20"] - Required question types: [e.g., "Include at least 2 open-ended questions and 1 NPS question"] - Demographic data needed: [LIST ANY, e.g., "company size, role, industry"] **Design the survey following these requirements:** ### Question Design Standards 1. Write each question so it measures exactly one concept. No double-barreled questions (e.g., reject "How satisfied are you with our pricing and features?"). 2. Use validated scales where applicable: 5-point Likert for agreement, 7-point for satisfaction, 0-10 for NPS. Justify the scale choice for each question. 3. Write response options that are mutually exclusive and collectively exhaustive. Include "Other (please specify)" and "Not applicable" only where genuinely needed. 4. Order questions from broad and easy to specific and sensitive. Place demographic questions at the end unless they drive skip logic. 5. Include 1 attention check question for surveys longer than 10 questions. ### Output for Each Question - **Q#**: Question text - **Type**: Single choice / Multiple choice / Likert scale / Open text / Ranking / Matrix / NPS - **Response Options**: Full list of options with scale anchors - **Skip Logic**: If applicable, specify which answer triggers which follow-up - **Maps to Objective**: Which research question this helps answer - **Analysis Method**: How this question will be analyzed (frequency distribution, cross-tab, correlation, thematic coding, etc.) ### Final Deliverables 1. The complete questionnaire in respondent-facing order, ready to program into a survey tool. 2. A question-to-objective mapping table showing coverage of all research topics. 3. A recommended pre-launch checklist: pilot test size, what to check in pilot responses, and criteria for revising questions before full launch.
Usage Tips
- State your hypothesis, not just your topic: "I suspect users churn because of pricing confusion" produces sharper questions than "I want to learn about churn." The AI will design questions that specifically test your hypothesis while remaining neutral in wording.
- Specify the analysis you plan to run: If you need to cross-tabulate satisfaction by company size, say so upfront. The designer will ensure both variables use compatible scales and response categories.
- Keep it under 7 minutes for email surveys: Response rates drop steeply after 7 minutes. If your topic list is too long, the designer can split it into two shorter surveys targeting different segments.
- Always pilot with 5-10 people first: Use the pre-launch checklist from the output. Watch for questions where pilot respondents hesitate, ask for clarification, or cluster on a single answer, all signs the question needs revision.
- Request the questionnaire in your survey tool's format: Add a line like "format for Typeform" or "format for Google Forms" to get output you can paste or import directly.
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