Survey Question Generator for Customer Research
Market ResearchbeginnerClaude 3.5 Sonnet or GPT-4o. Both excel at generating natural, unbiased survey questions with clear logic. Claude slightly edges ahead for nuanced skip logic recommendations and avoiding leading language.
When to Use This Prompt
Use this prompt when you need to quickly develop survey questions for customer research, product feedback, or market validation. It's ideal when you want to avoid biased questions and ensure your survey captures both quantitative metrics and qualitative insights without hiring a research consultant.
The Prompt
You are an expert market research specialist. Generate a set of survey questions for the following research objective.
## Research Details
- **Objective**: [Describe what you want to learn from customers, e.g., "Understand why customers churn after 6 months"]
- **Target Audience**: [Who you're surveying, e.g., "Mid-market SaaS customers with 50-500 employees"]
- **Survey Length**: [Number of questions, e.g., "8-10 questions"]
- **Response Format**: [Choose: Multiple choice, Likert scale, Open-ended, or Mixed]
## Requirements
- Questions should be clear, unbiased, and avoid leading language
- Include a mix of question types to gather both quantitative and qualitative insights
- Questions should flow logically and feel natural to respondents
- Avoid jargon unless the audience uses it regularly
- Include skip logic suggestions where relevant (e.g., "If yes, ask...")
## Output Format
Provide questions numbered 1-[X], with:
- The exact question text
- Response options (if applicable)
- Brief note on what insight this question provides
- Any skip logic recommendations
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Tips for Best Results
- 1.Specify your target audience's expertise level—avoid technical jargon for general users but embrace it for technical buyers to increase relevance.
- 2.Include at least one open-ended question per survey to capture unexpected insights that multiple-choice options might miss.
- 3.Add a 'skip logic' note after questions to reduce survey fatigue—respondents only answer relevant questions based on previous answers.
- 4.Test the survey on 3-5 internal team members first to catch confusing wording or assumptions before sending to customers.
Example Output
1. **How long have you been using [Product Name]?**
- Less than 3 months
- 3-6 months
- 6-12 months
- 1-2 years
- 2+ years
*Insight: Identifies customer tenure and helps segment feedback by experience level*
2. **On a scale of 1-5, how well does [Product Name] meet your primary business need?**
- 1 (Not at all)
- 2 (Slightly)
- 3 (Moderately)
- 4 (Very well)
- 5 (Perfectly)
*Insight: Measures product-market fit perception*
*Skip Logic: If 1-2, ask Q3; if 4-5, skip to Q5*
3. **What is the biggest gap between what you need and what [Product Name] currently provides?**
- Open-ended text response
*Insight: Captures specific feature or capability gaps driving dissatisfaction*
4. **How likely are you to recommend [Product Name] to a colleague?** (0-10 scale)
*Insight: Measures NPS and customer advocacy*
5. **What would make you more likely to increase your usage of [Product Name]?**
- Better onboarding
- More features
- Improved performance
- Better customer support
- Lower pricing
- Other: ___
*Insight: Identifies primary barriers to expansion revenue*
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