Audit existing survey items, response options and branching for leading wording, measurement ambiguity and avoidable respondent burden.
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Version 1 · 2 variables · 2 required
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The decisions, constructs and intended population. Default: Understand how agency project managers prepare weekly client updates; respondents may use several tools.
Complete item wording, answer options and branching rules. Default: 1. How much do you love our fast and helpful dashboard? Very much / Quite a lot / Somewhat. 2. Do you save time and avoid mistakes with templates? Yes / No. 3. Which tool do you always use? Email / Spreadsheet / Dashboard.
Audit this questionnaire before fielding it.
Research objective and respondents: Understand how agency project managers prepare weekly client updates; respondents may use several tools.
Questions, answer options and routing: 1. How much do you love our fast and helpful dashboard? Very much / Quite a lot / Somewhat.
2. Do you save time and avoid mistakes with templates? Yes / No.
3. Which tool do you always use? Email / Spreadsheet / Dashboard.
For each item, assess whether it measures the objective, uses a clear recall period, asks one thing, and offers balanced usable response options. Look for leading assumptions, double-barreled wording, jargon, forced answers and overlaps or gaps in categories.
Return an item-by-item table: issue, likely measurement consequence, proposed revision, and reason. Preserve the intended construct; label any revision that changes it. Check routing for irrelevant or impossible questions.
Then recommend a short cognitive pilot: what to ask respondents about comprehension and how to spot response friction. Do not call an improvised scale validated or predict response rates without evidence. Prioritize the three fixes that most affect interpretability.No public examples yet for version 1
Curated prompt only. No example output or model test is attached; model compatibility has not been verified. Default inputs are illustrative practice material; replace them with your own facts and context.
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Develop provisional codes with inclusion rules, exclusions and evidence anchors while keeping interpretation distinct from the source material.
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