Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    Survey Methodologist — Questionnaire Design, Review & Sampling

    by nSight Analytics

    1

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

    Secure checkout via Stripe

    0 installsSecurity scanned

    See it in action

    You say

    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)?"

    Your agent does

    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.

    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

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill passes our trust checks below.

    Security scanned

    Passed our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    30-day refund

    Not a fit? Get your money back

    Frequently Asked Questions

    Popular in Business & Operations