Workplace Gender Discrimination Climate Survey
Measures how often employees experience or witness gender-based discrimination — in pay, promotion, meetings, and everyday treatment — and how safe they feel speaking up. An AI follow-up interview reconstructs a specific incident in the respondent's own words, revealing what actually happened and what response would have felt fair, for HR and DEI teams benchmarking climate and prioritizing fixes.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
In the last 12 months, have you personally experienced or witnessed gender-based discrimination at work?
- Yes, I experienced it personally
- Yes, I witnessed it happen to someone else
- Both experienced and witnessed it
- No, neither
- Prefer not to say
In the last 12 months, how often have you experienced each of the following at work?
- Being passed over for a promotion or a high-visibility assignment
- Receiving unequal pay or benefits for comparable work
- Being excluded from key meetings or decisions
- Hearing dismissive or stereotyping comments about your gender
- Experiencing unwanted comments or advances of a sexual nature
How safe do you feel raising a concern about gender discrimination at work without fear of retaliation?
Have you ever reported a gender discrimination incident at work, formally or informally?
- Yes, and I was satisfied with the outcome
- Yes, but I was not satisfied with the outcome
- No, I considered it but decided not to
- No, I haven't had an incident to report
- Prefer not to say
Reconstruct the most significant gender discrimination incident the respondent experienced or witnessed in the last 12 months: what happened, who was involved, whether it was reported, and how it was handled. If they never reported it, probe what specifically held them back. If they rated psychological safety low, anchor on what would need to change for them to feel safe speaking up. If they said 'No, neither' to the first question, ask what makes their team or manager an exception worth learning from.
Which of these organizational changes would most improve gender equity at your workplace? Pick the most and least impactful each round.
- Transparent, published pay bands for every role
- Structured, criteria-based promotion decisions
- Mandatory training on discrimination and bystander intervention
- An anonymous, trusted incident reporting channel
- Sponsorship or mentorship programs for underrepresented groups
- Leadership accountability tied to diversity metrics
- Flexible parental and caregiving leave policies
- Diverse interview and hiring panels
How effectively does leadership in your organization model inclusive, non-discriminatory behavior?
How likely are you to look for a new job in the next 12 months because of how gender issues are handled here?
Almost done — just a few optional background questions to help us spot patterns across teams.
What is your gender identity?
- Woman
- Man
- Non-binary
- Prefer not to say
What is your age range?
- Under 25
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
- Prefer not to say
Which best describes your role level?
- Individual contributor
- People manager
- Senior or executive leadership
- Prefer not to say
Which department or function do you work in?
- Sales & Marketing
- Operations
- Engineering or Technical
- Finance, Legal, or HR
- Customer Support
- Prefer not to say
Thank you for trusting us with this. Your answers are combined with others (never shared individually with your manager) to shape training, policy, and reporting improvements — we'll share a summary of what we change as a result.
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.
다른 서비스와 비교
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이 템플릿을 선택하는 이유
- Includes a dedicated multiple-choice and matrix section covering pay, promotion, meetings, and everyday treatment, so climate is measured across multiple discrimination vectors rather than a single generic question
- Pairs quantitative screening (frequency matrix, safety-to-speak-up opinion scale, reporting history) with an AI follow-up interview that reconstructs the respondent's most significant incident in their own words, capturing what happened and what response would have felt fair
- Adds a MaxDiff prioritization question and a leadership-inclusiveness rating so HR/DEI teams get both diagnostic detail and a ranked list of fixes, not just prevalence stats
- Closes with optional demographic questions (gender identity, age range, role level, department) explicitly framed for pattern-spotting, plus a stated confidentiality/aggregation commitment to respondents
QuestionPro
Gender Discrimination Survey Questions + Sample Questionnaire TemplateThis page reads primarily as a sample question bank and guide rather than a single fielding-ready survey flow, aimed at researchers assembling their own instrument. It covers common discrimination topics (pay, promotion, treatment) in a static question-list format. Useful as a reference but requires manual assembly before it can be deployed.
잘하는 점
- Broad library of pre-written sample questions covering multiple discrimination dimensions
- Backed by an established survey research platform with customization and distribution tools
- Likely offers logic/branching capabilities typical of QuestionPro's builder
아쉬운 점
- Presented as a static question set/guide rather than a ready-to-send survey experience
- No adaptive follow-up that probes a specific incident in the respondent's own words
- No automated per-response quality scoring or transparent AI methodology disclosed
SurveyMonkey
Gender In The Workplace Survey TemplateA ready-to-use static template focused on workplace gender experiences generally, likely covering perceptions and treatment at a broad level. It benefits from SurveyMonkey's widely used distribution and reporting tools, but it is a fixed-question format rather than a discrimination-climate diagnostic. There is no indication it isolates specific incident detail or safety-to-report metrics in depth.
잘하는 점
- Fielding-ready template with SurveyMonkey's established distribution and dashboard reporting
- Simple, quick-to-launch format familiar to most respondents
- Likely benchmarkable against SurveyMonkey's own template norms
아쉬운 점
- Fixed-choice questions only — no adaptive AI interview to reconstruct a specific incident
- No mechanism to capture what a 'fair response' would have looked like from the respondent's perspective
- No published prompt-level transparency or automated quality scoring of responses
Jotform
Gender Equality Survey Form TemplateA no-code form template centered on gender equality broadly, which overlaps with but is not identical to a discrimination-climate-specific survey — it likely emphasizes attitudes and equality perceptions rather than incident-level detail. It's easy to customize visually via Jotform's drag-and-drop builder and integrates with Jotform's broader form ecosystem. As a static form, it is best suited for simple data collection rather than deep qualitative follow-up.
잘하는 점
- Easy drag-and-drop customization and branding via Jotform's form builder
- Integrates with Jotform's wider suite of apps, notifications, and storage tools
- Simple, fast to deploy for basic equality-perception polling
아쉬운 점
- Static form fields only — no adaptive AI follow-up interview or voice interview option
- No structured incident reconstruction or fairness-of-response capture
- No automated quality scoring or transparent AI prompt disclosure
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