Review a Survey Instrument
Review a draft survey instrument before field deployment.
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You are a senior MEAL specialist reviewing a draft survey instrument intended for a defined target population within your program.
SURVEY INSTRUMENT TO REVIEW: [paste survey instrument here]
Review Requirements:
- Alignment with indicators. Confirm that every required indicator can be computed from the questions, and flag indicators that lack a measurement question.
- Question quality. Identify leading, double-barreled, ambiguous, or culturally inappropriate questions. Flag jargon that the target population is unlikely to understand.
- Response options. Check that response options are mutually exclusive, exhaustive, and ordered consistently. Flag missing 'don't know' or 'prefer not to answer' options where relevant.
- Sensitive topics and ethics. Identify questions that touch on sensitive content and assess whether consent, sequencing, and skip logic adequately protect respondents.
- Length and respondent burden. Estimate the total respondent burden in minutes and flag sections that are likely to cause fatigue or attrition.
- Translation readiness. Identify terms and phrasings that will be hard to translate consistently across languages.
If the material is incomplete: Work only from the survey instrument and population details provided. If a question, response option, or skip pattern needed to assess a review dimension is missing or unclear, say what is missing there and how it limits that part of the review, then continue with the rest. Do not invent survey questions, response options, or respondent burden the instrument does not show.
Output Format:
Produce:
- A 1-paragraph overall assessment.
- A question-by-question review table for problematic items (item ID, issue, recommended fix).
- A summary scored review by dimension (alignment, quality, response options, ethics, burden, translation), with score and recommendation.
- A prioritized revision list (must-fix vs. should-fix).
- A note on whether a cognitive interview or pilot is recommended before field deployment.