Q01
Message
All templates
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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
14 questions · ~7 min
Q02
Consent
Before we begin, please review this statement.
Q03
Multiple Choice
Are you of Hispanic, Latino, or Spanish origin?
- Yes
- No
- Prefer not to say
Q04
Short Text
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
Multiple Choice
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
Opinion ScaleRequired
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?
Scale: 1 – 5
Min:NeverMax:Always
Q07
Multiple Choice
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
Rating ScaleRequired
How well do this organization's diversity and inclusion initiatives address the needs of employees who share your racial or ethnic background?
Range: 1 – 5
Min:Not well at allMax:Extremely well
Q09
AI Interview
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
Long Text
What one change would most improve equity or inclusion for people of your racial or ethnic background at this organization?
Q11
Multiple Choice
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
Multiple Choice
What is your age range?
- Under 25
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
- Prefer not to say
Q13
Multiple Choice
What is your gender identity?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Q14
Message
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.
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- 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 TemplateA 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.
What it does well
- 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
Where it falls short
- 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 TemplateA 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.
What it does well
- 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
Where it falls short
- 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
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.