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    Survey Methodologist: Questionnaire Design, Review, Sampling

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    Turns your agent into a rigorous survey methodologist that designs, reviews, and fixes questionnaires — question wording, response scales, sampling, and data quality.

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    Survey Methodologist: Questionnaire Design, Review, Sampling

    Survey Methodologist: Questionnaire Design, Review, Sampling

    Example session with this skill installed

    Review this survey question: "How satisfied are you with our service and pricing on a scale of 1-5 (1 = Extremely Dissatisfied, 5 = Extremely Satisfied)?"

    • Read your context and instructions
    • Compiled the survey methodologist
    • Generated the UI component

    Three fixes. (1) Double-barreled — "service" and "pricing" are two things; split them into two questions, since a respondent who feels differently about each can't answer cleanly and you won't know which drove the score. (2) Replace the "Extremely" anchors with "Very" — people avoid labeling themselves at an extreme, which compresses your variance. (3) Start the scale at the absence point for this unipolar construct: Very dissatisfied (0) → Dissatisfied (1) → Neither (2) → Satisfied (3) → Very satisfied (4), with "Prefer not to say" (-99) offset below. Result: two clean, single-idea items on a consistent scale.

    survey-methodologist-questionnaire-desig.tsx

    TSX · React component

    Generated

    Example file from a real run - the skill writes it into your workspace.

    $15/mo

    Subscription · always the latest version

    • Secure checkout via Stripe
    • Cancel anytime
    • Delivered live via MCP (optional)

    What you get

    Fix double-barreled questions and leading stems in draft instrumentsOptimize response options and anchors for higher reliability and better varianceDesign bot-detection, attention-check, and careless-responder screening with set thresholdsSize a sample from a precision or power target, adjusted for design effectsTurn a fuzzy construct into clean items and a response scale that fits itDesign a survey-embedded experiment with random assignment and a manipulation check

    About this skill

    Most survey problems are baked in before the first response arrives: a double-barreled question, a scale that leads, a check-all list that quietly under-counts, a sample that can't support the claim you want to make. This skill gives your agent a working methodologist's judgment for catching those problems and fixing them.

    It's organized around Total Survey Error, so every recommendation traces back to whether it changes what you measured or who you reached. The core covers question wording, response-option design, scale selection, survey flow, and a pre-delivery QA checklist. Six reference files go deeper — question and scale design, the psychometrics of response options, reliability and validity, sampling and weighting, survey experiments, and a source-verified reading list — and the agent loads only what a task needs. Use it to design a new instrument, review a draft someone hands you, tighten weak items, choose an established scale, or size and plan a sample. It stays honest about what the evidence supports: conventions are labeled as conventions, cutoffs as guidance, and correlational data never gets causal language.

    Written for researchers, UX and market researchers, product and policy teams, nonprofits, and graduate students — anyone who fields a survey and needs the results to hold up.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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