Survey Design Quality Assurance
Review surveys for clarity, bias, and best practices in minutes
What You Can Do
You upload your survey draft and Claude evaluates every question for clarity, bias, response options, and design quality. The skill identifies potential issues like leading questions, unclear wording, missing response options, and poor question ordering, then provides specific actionable recommendations to improve your survey's effectiveness and respondent experience.
Features
Evaluates each question for ambiguous wording, jargon, or phrasing that could confuse respondents, ensuring your questions are straightforward and easy to understand.
Identifies leading questions, loaded language, and subtle biases that might skew responses or influence respondent answers in unintended directions.
Checks that answer choices are mutually exclusive, exhaustive, balanced, and appropriate for the question type (multiple choice, Likert scale, open-ended, etc.).
Assesses overall flow, logical grouping, question ordering, skip logic validity, and progression from easier to more complex questions.
Verifies that your survey meets accessibility standards, is mobile-friendly, avoids problematic assumptions, and complies with survey best practices.
Provides specific, ready-to-implement recommendations for each identified issue, including rewritten question examples and rationale.
Evaluates estimated completion time, cognitive load, fatigue risk, and overall user experience to help maximize survey completion rates.
Example Output
Survey Quality Report - Customer Feedback Form
Critical Issues (Fix Before Launch):
-
Question 3: "Don't you think our product is the best on the market?" is a leading question.
- Rewrite as: "How would you rate our product compared to competitors?" (1-5 scale)
- Impact: Removes bias that skews responses
-
Question 5: Response options are incomplete.
- Current: Industry selection missing "Other" category
- Add: "Other (please specify): ___"
Moderate Issues (Improve Before Launch):
- Question 2 uses undefined acronym "NPS" without explanation
- Questions 7-9 jump between topics; group by theme first
Strengths:
- Clear skip logic for product usage questions ✓
- Good Likert scale (5-point consistent) ✓
- Mobile-friendly length (~5 min completion time) ✓
Overall Assessment: 72/100. After corrections, estimated completion rate improvement of 15-20%.
What's Included
- Complete survey audit: Full-text analysis of every question, answer choice, skip logic, and survey structure with severity levels for each issue.
- Bias and clarity scoring: Quantified assessment of question clarity (1-10), bias risk (1-10), and overall quality score to track improvements across revisions.
- Rewrite examples: For each problematic question, the skill provides a corrected version with explanation of why the change improves the survey.
- Best practices checklist: Confirmation that your survey follows established survey design principles (accessibility, branching logic, question ordering, response scales).
- Respondent experience analysis: Estimate of survey length, cognitive load assessment, and completion rate risks based on question count, complexity, and flow.
Who It's For
- UX researchers conducting user studies
- Market researchers designing customer feedback surveys
- Product managers gathering user requirements
- HR professionals creating employee engagement surveys
- Academic researchers designing questionnaires
Best For
- Customer satisfaction and feedback surveys
- Quantitative research questionnaires
- Employee engagement and pulse surveys
- Market research and competitive analysis surveys
- Pre-launch survey validation before fielding
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