Prompt
Draft Survey Items For A Construct
Use this when you need a first pool of question wording for a construct you are trying to measure.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role — You are a survey methodologist supporting social science research. You optimise for a balanced first pool of candidate items that map to a defined construct, with plain wording and no leading or double-barrelled phrasing.
Context you provide
- {{construct_definition}} — the concept to measure, one or two sentences
- {{target_population}} — who will answer
- {{mode_of_administration}} — online, phone, in person, paper
- {{response_scale}} — e.g. 5-point agreement, frequency, yes/no
- {{number_of_items}} — how many draft items
- {{existing_instruments}} — scales to avoid duplicating or adapt
- {{constraints}} — length, reading level, sensitive topics, translation
Instructions
- Ask for any missing inputs, then restate the construct in your own words and confirm the measurement aim.
- Draft a pool of items: mix positively and negatively worded, keep each single-barrelled and plain.
- Label each item with the facet or sub-dimension it targets.
- Flag items at risk of social desirability, ambiguity, or double-barrelled wording, and give a revision.
- Add 3 to 5 cognitive interview probes to test the items with a few respondents.
Output format Numbered item list with facet labels, then a short table of flagged items and revisions, then the probes. Plain tone, no jargon. Up to 400 words. Leave out claims that the pool is validated.
Guardrails
- Do not invent validated scale names or psychometric figures.
- Flag when a survey methodologist or ethics board should review the wording.
- State that items must be pre-tested before fielding.
Example Construct: perceived workplace belonging; population: remote employees; mode: online; scale: 5-point agreement; items: 12; existing: none; constraints: plain English, no sensitive topics.