Survey Design Prompt Templates
AI prompt templates for designing surveys. Create effective questionnaires for research.
Overview
Good surveys are surprisingly hard to write. The wording of questions, order of items, and response options all affect your data quality. These prompts help you draft survey questions, avoid common biases, and structure questionnaires that people will actually complete. They work for academic research surveys, market research, and employee feedback tools.
Best Practices
State your research questions upfront so every survey item has a clear purpose
Specify your target population since language and complexity should match respondents
Mention any validated scales you want to include or adapt
Include practical constraints like maximum length or required format
Ask for both the questions and the response scales together
Prompt Templates
1. Survey Question Generator
I'm creating a survey to measure [CONSTRUCT/TOPIC] for [TARGET POPULATION]. Research questions I'm trying to answer: 1. [QUESTION 1] 2. [QUESTION 2] Constraints: - Maximum [NUMBER] items - Response format preference: [LIKERT/MULTIPLE CHOICE/OPEN-ENDED/MIX] - Survey context: [ONLINE/PAPER/PHONE/IN-PERSON] Generate survey questions with: 1. Clear, unambiguous wording 2. Appropriate response options 3. No leading or double-barreled questions 4. A mix of positively and negatively worded items if using scales
Construct: workplace psychological safety. Population: tech industry employees. Questions: Do team members feel safe speaking up? Does psychological safety vary by seniority? Constraints: max 12 items, 5-point Likert, online survey.
1. 'I feel comfortable bringing up problems on my team.' (Strongly disagree - Strongly agree) 2. 'If I make a mistake, it will be held against me.' [Reverse coded] (Strongly disagree - Strongly agree) 3. 'My manager encourages people to share different opinions.'...
At the start of survey design when you need to generate item pools. Also useful when adapting existing scales for new contexts.
- •Generate more items than you need, then pare down based on pilot testing
- •Include a few attention check questions in longer surveys
2. Survey Bias Checker
Review these survey questions for bias and clarity issues: [PASTE YOUR DRAFT QUESTIONS] Check for: 1. Leading questions (suggest a 'right' answer) 2. Double-barreled questions (ask two things at once) 3. Loaded language (emotionally charged words) 4. Ambiguous wording (could be interpreted multiple ways) 5. Response option issues (missing options, overlapping ranges) 6. Order effects (sensitive questions placed poorly) For each problem found, suggest a revised version.
Q1: 'Don't you agree that our new policy is more fair?' Q2: 'How satisfied and productive do you feel at work?' Q3: 'How many times per week do you exercise? 1-2, 2-3, 3-4, 5+'
Q1 Issue: Leading question with 'Don't you agree' and loaded term 'fair'. Revision: 'How would you rate the fairness of the new policy?' (Very unfair - Very fair). Q2 Issue: Double-barreled, asks about satisfaction AND productivity. Revision: Split into two questions...
Before pilot testing or launching your survey. Having another perspective on your questions catches blind spots.
- •Read questions aloud to catch awkward phrasing
- •Test with someone from your target population, not just colleagues
3. Scale Adaptation Assistant
I want to adapt the [SCALE NAME] for use with [NEW POPULATION OR CONTEXT]. Original scale info: - What it measures: [CONSTRUCT] - Original population: [WHO IT WAS DESIGNED FOR] - Number of items: [COUNT] - Sample items: [2-3 EXAMPLE ITEMS] New context: - My population: [DESCRIBE] - How the context differs: [KEY DIFFERENCES] Help me: 1. Identify items that may not translate well 2. Suggest adaptations that preserve the construct validity 3. Recommend any items to add or remove 4. Note what validation steps I should take
Scale: Maslach Burnout Inventory. Measures: occupational burnout. Original: healthcare workers. Items: 'I feel emotionally drained from my work.' New context: Adapting for remote freelancers who set their own hours.
Problem items: 'I deal with problems of my recipients very effectively' assumes client-facing role. Adaptation: Reframe around project/deliverable completion. Add items for: isolation burnout, boundary-blurring (unique to remote work)... Validation needed: Run confirmatory factor analysis to check three-factor structure holds...
When using established scales in a different population or context than originally validated. Protects against validity threats.
- •Contact the original scale authors if making significant changes
- •Report both original and adapted items in your methods section
4. Survey Flow Optimizer
Organize these survey sections into the best flow for respondent experience and data quality: Sections I need to include: [LIST YOUR SECTIONS WITH BRIEF DESCRIPTIONS] Sensitive topics: [ANY QUESTIONS PEOPLE MIGHT RESIST] Total time target: [ESTIMATED MINUTES] Incentive: [ANY COMPENSATION] Provide: 1. Recommended section order with reasoning 2. Where to place sensitive questions 3. Suggestions for transitions between sections 4. Where to include progress indicators 5. Recommended attention checks
Sections: Demographics, job satisfaction (10 items), salary questions, mental health screener, work-life balance, manager feedback. Sensitive: salary, mental health. Time target: 12 minutes. Incentive: $10 gift card.
Recommended order: 1. Job satisfaction (engaging, non-threatening start) 2. Work-life balance (related, builds momentum) 3. Manager feedback (still work-focused but more specific) 4. Mental health screener (sensitive but sandwiched) 5. Salary questions (second most sensitive, near end) 6. Demographics (end with easy questions)...
After drafting all your survey content, before building it in your survey platform. Order matters for completion rates and data quality.
- •Put the most important questions in the first third when attention is highest
- •End with something easy so people finish on a positive note
Common Mistakes to Avoid
Asking AI to generate a complete validated scale from scratch. Validated scales take years of testing and should be used or properly adapted instead
Not specifying the response format, which results in questions that don't match your intended scale
Creating surveys that are too long. Most respondents lose focus after 10 to 15 minutes
Frequently Asked Questions
Good surveys are surprisingly hard to write. The wording of questions, order of items, and response options all affect your data quality. These prompts help you draft survey questions, avoid common biases, and structure questionnaires that people will actually complete. They work for academic research surveys, market research, and employee feedback tools.
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