모든 템플릿

Workforce Race and Hispanic Origin Self-ID Survey

Collects standardized race and Hispanic-origin self-identification data for workforce compliance and DEI reporting, paired with belonging and lived-experience questions. Built for HR and People Analytics teams; an AI follow-up interview explores the specific incidents behind respondents' inclusion scores that closed-ended questions alone would miss.

샘플 질문

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

질문 14개 · 약 7분
Q01
메시지

Thanks for taking a few minutes for this. This survey collects voluntary demographic self-identification data (race and Hispanic origin) alongside a few questions about your day-to-day experience at work. It takes about 8 minutes, and every question is optional.

Q02
동의

Before we begin, please review this statement.

Q03
객관식

Are you of Hispanic, Latino, or Spanish origin?

  • Yes
  • No
  • Prefer not to say
Q04
단문형

If you identify as Hispanic, Latino, or of Spanish origin, which specific origin best describes you? (e.g., Mexican, Puerto Rican, Cuban, Salvadoran, Dominican, other Hispanic/Latino origin). Leave blank if not applicable.

Q05
객관식

Which of the following describe your race? Select all that apply.

  • American Indian or Alaska Native
  • Asian
  • Black or African American
  • Native Hawaiian or Other Pacific Islander
  • White
  • Prefer not to say
Q06
의견 척도필수

In the last 3 months, how often have you felt your racial or ethnic background was fully respected in day-to-day interactions at work?

척도: 15
최소:Never최대:Always
Q07
객관식

In the last 12 months, have you experienced any of the following in ways you believe were connected to your race, ethnicity, or Hispanic origin?

  • Passed over for a promotion or stretch assignment
  • Unequal pay for similar work
  • Excluded from key meetings or projects
  • Microaggressions or insensitive comments
  • Difficulty getting mentorship or sponsorship
  • None of these
Q08
평점 척도필수

How well do this organization's diversity and inclusion initiatives address the needs of employees who share your racial or ethnic background?

범위: 15
최소:Not well at all최대:Extremely well
Q09
AI 인터뷰

Probe the story behind the respondent's belonging score and any barriers they selected: ask for a specific, recent incident (what happened, who was involved, how it affected their day-to-day work or motivation to stay). If they selected 'None of these' barriers, explore what specifically makes them feel respected and whether they'd feel safe raising a concern if one arose. Anchor follow-ups on concrete behavior and impact rather than abstract feelings, and note any suggestions for what leadership should change.

Q10
장문형

What one change would most improve equity or inclusion for people of your racial or ethnic background at this organization?

Q11
객관식

How long have you worked at this organization?

  • Less than 1 year
  • 1-3 years
  • 4-7 years
  • 8-15 years
  • More than 15 years
Q12
객관식

What is your age range?

  • Under 25
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q13
객관식

What is your gender identity?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q14
메시지

Thank you for sharing this with us. Your individual answers stay confidential; aggregated results feed our workforce demographic reporting and shape where we focus equity and inclusion efforts next.

포함된 기능

  • AI 후속 질문

    정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.

  • 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.

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이 템플릿을 선택하는 이유

  • Pairs standardized Hispanic-origin and race self-ID questions (matching common workforce compliance categories) with belonging and lived-experience measures, not just demographic checkboxes.
  • Includes an AI follow-up interview that probes the story behind a respondent's belonging/inclusion rating and the specific barriers they've experienced, surfacing detail closed-ended scales alone would miss.
  • Combines quantitative items (incident frequency, D&I initiative rating) with an open long-text question on what change would most improve equity, giving both scorable data and qualitative depth.
  • Opens with a clear consent step and closes with a confidentiality/aggregation message, framing the survey appropriately for sensitive workforce demographic data collection.

SurveyMonkey

Race & Hispanic Origin Survey Template

A directly comparable fielding-ready template covering race and Hispanic-origin self-identification, likely aligned to standard compliance categories. It's a static question set aimed at broad HR/EEO use cases rather than a deeper belonging or lived-experience exploration. Good for straightforward demographic tabulation but not for follow-up context on individual responses.

잘하는 점

  • Purpose-built template matching common compliance/EEO race and origin categories
  • Backed by an established survey platform with broad distribution and reporting tools
  • Likely easy to deploy quickly for basic demographic data collection

아쉬운 점

  • No adaptive AI follow-up interview to explore the reasoning or incidents behind responses — it's a fixed question list
  • No indication of voice AI interviews or guided screen-share tasks
  • No transparent, inspectable AI prompts or per-response quality scoring

SurveySparrow

Race & Ethnicity Survey Template

A conversational-style survey template focused on race and ethnicity data collection, positioned generally rather than specifically for workforce DEI compliance reporting. It appears to be a standard static form, useful for basic self-ID capture but not for probing belonging or specific incidents. Best suited to simple demographic snapshots rather than compliance-grade or narrative-rich HR data.

잘하는 점

  • Conversational chat-style UI that may improve completion rates versus traditional grid forms
  • Template framed for ethnicity/race data collection, usable across marketing or general contexts
  • Simple to customize within SurveySparrow's builder

아쉬운 점

  • No adaptive AI interview to follow up on belonging scores or specific experiences reported
  • Not clearly tailored to workforce compliance or DEI reporting structures
  • No published methodology on question logic or per-response scoring

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