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모든 템플릿

Participant Screener & Demographics

A clean recruiting screener: knock-out questions first, quota-ready demographics, an attention check, and an articulation check that verifies participants can give the rich answers qualitative research needs. Designed to disqualify politely and comply with prefer-not-to-say norms.

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샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 13개 · 약 4분
Q01
메시지

Thanks for your interest in our research! These few questions check whether this particular study is a match for you. It takes about 4 minutes, and if it's not a fit this time, that's about our study needs — not about you.

Q02
객관식필수

Do you, or does anyone in your household, work in any of these industries?

  • Market research
  • Advertising or public relations
  • Journalism or media
  • The industry this study is about (replace with yours)
Q03
객관식필수

Which best describes your role in decisions about the product category we're studying?

  • I decide on my own
  • I share the decision with others
  • I influence but don't decide
  • I'm not involved
Q04
객관식필수

How often do you use products in this category?

  • Daily
  • Weekly
  • Monthly
  • Less often
  • Never
Q05
객관식필수

To confirm you're reading carefully, please select 'Weekly' for this question.

  • Daily
  • Weekly
  • Monthly
  • Never
Q06
장문형필수

In 2–3 sentences, describe the last time you used a product in this category — what you were doing and how it went. (This helps us confirm the study fits your experience.)

Q07
드롭다운필수

Which age group are you in?

  • Under 18
  • 18–24
  • 25–34
  • 35–44
  • 45–54
  • 55–64
  • 65+
  • Prefer not to say
Q08
드롭다운필수

How do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • I describe it another way
  • Prefer not to say
Q09
드롭다운

What is your approximate annual household income?

  • Under $25,000
  • $25,000–$49,999
  • $50,000–$99,999
  • $100,000–$149,999
  • $150,000 or more
  • Prefer not to say
Q10
드롭다운

What is the highest level of education you have completed?

  • High school or less
  • Some college
  • Bachelor's degree
  • Graduate degree
  • Prefer not to say
Q11
드롭다운

Which best describes your current employment?

  • Employed full-time
  • Employed part-time
  • Self-employed
  • Student
  • Not currently employed
  • Retired
  • Prefer not to say
Q12
이메일필수

If you qualify, where should we send your invitation?

Q13
메시지

Thanks — that's everything! We'll be in touch if the study is a match. Your contact details are used only for this research and never sold or shared.

포함된 기능

  • AI 후속 질문

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  • 주의력 확인 장치

    성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.

  • AI가 작성한 문안

    문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.

  • 자동 리포트

    응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

  • Knock-out questions first, an attention check, and an articulation check that verifies participants can give the rich answers qualitative research needs
  • Inclusive demographics with prefer-not-to-say on every sensitive item, aligned to standard reporting brackets
  • Industry/insider disqualification handled politely — unqualified participants exit with dignity
  • Quota-ready structure: every screener answer is filterable for balancing your panel

SurveyMonkey

U.S. Demographics Survey Template

Used 7,000+ times; aligns demographic categories (gender identity, age, education, employment, household income, race/ethnicity) to federal ACS and updated OMB standards with inclusive, self-describe options. Excellent as a standards-aligned demographic block, but framed as demographics collection rather than a screening flow with qualify/disqualify branching and quotas.

잘하는 점

  • Category wording aligned to ACS and 2024 OMB standards, including combined multi-select race/ethnicity with MENA
  • Inclusive, current gender-identity language with self-describe options
  • Standardized income brackets and consistent age/education ranges that benchmark to national data
  • Backed by SurveyMonkey's skip-logic and reporting for segmentation

아쉬운 점

  • Presented as a demographic questionnaire, not a screener: no built-in qualify/disqualify termination logic or quota management on the template itself
  • No attention/red-herring screener items to catch professional survey-takers or fraud
  • No adaptive follow-up to confirm a borderline qualification (e.g., probe frequency/recency of a behavior)
  • No transparent screening rationale shown to sponsor; termination is manual skip-logic the user must wire up

QuestionPro

Demographic Survey Questions + Sample Questionnaire Template

Expert-designed demographic template spanning gender, age, marital/family, employment, income, education, ethnicity, religion, sexual orientation, housing, and political views, positioned for market, academic, healthcare, and non-profit research. Very broad question bank, but it is a demographic library rather than a screening instrument with disqualification and quota controls.

잘하는 점

  • Unusually broad demographic coverage including psychographic-adjacent items (political views, lifestyle, religion)
  • Expert-designed wording positioned for reuse across market, academic, healthcare, and non-profit research
  • Free and directly cloneable into the QuestionPro builder
  • Flexible enough to assemble a tailored respondent profile

아쉬운 점

  • No screener-specific qualify/disqualify branching or quota enforcement built into the template
  • No attention checks or fraud/duplicate-respondent detection surfaced
  • Long, static battery risks over-asking; no adaptive skipping to only ask what a screen needs
  • No AI follow-up to disambiguate borderline eligibility responses

Jotform

Focus Group Screener

A real participant screener form for focus-group recruitment on Jotform's drag-and-drop builder. Handles the intake mechanics well; qualification logic, quota tracking, and data-quality checks are up to the researcher to add.

잘하는 점

  • Purpose-built screener form, free to use and easy to customize
  • Jotform's conditional logic can disqualify as respondents answer
  • Wide integration ecosystem for routing qualified participants

아쉬운 점

  • No built-in attention or articulation checks to protect qualitative data quality
  • No AI follow-up to verify claimed experience is genuine
  • Quota balancing and panel management are manual

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