Research·Updated April 10, 2026

Survey Question Auditor

Quality-check a draft survey before launch: leading language, double-barreled items, scale mismatches, bias, order effects, and more. Pairs with Survey Question Generator for write-then-audit workflows.

Use Case

Final QA before fielding a survey, teaching stakeholders why wording matters, or recovering a legacy questionnaire.

Prompt

Act as a Principal UX Researcher and expert in survey methodology and questionnaire design.

Please audit the following survey questions for quality issues. After your audit, rewrite flawed questions and provide a corrected version of the full survey.

[Paste your survey questions here - include question text, response options, and any instructions]

For each question, please assess and flag the following dimensions:
- Leading language
- Double-barreled questions (two things at once)
- Loaded or assumptive language
- Ambiguous wording or jargon
- Response scale mismatches (e.g., Likert vs. frequency)
- Acquiescence bias risk ("agree" or "yes" as socially easy)
- Recall burden (memory too specific or too far back)
- Order effects that may bias later questions

For each flagged issue:
- Quote the problematic text
- Name the issue type
- Explain why it is a problem in one sentence
- Provide a rewritten version

At the end, provide:
- An overall quality score (1-10) for the survey
- A prioritized list of the top 3 fixes with the biggest impact on data quality
- A recommendation on whether the survey is ready to deploy or needs another revision pass

Important: If I tell you that certain items are validated scales (e.g., SUS, NPS, UMUX-Lite), flag them as pre-validated and do not rewrite those items - only note any surrounding context issues.

Optional second pass: "Audit again focusing only on response scales and labels."

How to use

1Paste the full instrument including scales and instructions.
2Run a second pass focused only on scales if the first pass was wording-heavy.
3Add audience context (e.g., non-native English, older adults) and ask for reading-level checks if needed.

Pro Tips

• Still run 3-5 cognitive interviews before full deployment - AI audits are not exhaustive.
• Not every flag is a mistake; forced-choice items may be intentional.
• Use the quality score to justify revision time with stakeholders.