모든 템플릿
AI & Technology

AI Governance & Risk Controls Readiness Assessment

Measures organizational readiness across AI policy clarity, approval workflows, risk tiering, and control maturity. Designed for cross-functional teams involved in AI development, deployment, or oversight.

샘플 질문

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

질문 24개 · 약 11분
Q01
메시지

Welcome to the AI Governance & Risk Controls Readiness Assessment. This survey explores how AI policies, approval workflows, and risk controls function in your organization. Your responses are confidential and will be reported only in aggregate to improve governance practices. Participation is voluntary — you may stop at any time. There are no right or wrong answers; we are interested in your honest experience. Estimated time: 6–8 minutes.

Q02
객관식

Which best describes your involvement with AI tools or systems in your current role?

  • I directly build or develop AI systems
  • I use AI tools as part of my regular workflow
  • I oversee or manage AI-related projects or teams
  • I review or approve AI use (e.g., legal, risk, compliance)
  • I have minimal or no involvement with AI
  • Other
Q03
객관식

Does your organization have an AI policy or standard that applies to your work?

  • Yes
  • No
  • Not sure
Q04
장문형

Briefly describe the review or approval steps you follow when using AI in your work.

Q05
객관식

Are risk tiers or categories defined for AI systems in your organization?

  • Yes
  • No
  • Not sure
Q06
순위 매기기

Rank the following AI governance improvements from most to least important for your organization.

  1. Clarify policy and standards
  2. Simplify approval workflows
  3. Expand monitoring and telemetry
  4. Strengthen access controls
  5. Staff training and awareness
  6. Vendor/third-party governance
드래그하여 순위 지정
Q07
장문형

Based on your responses in this survey, please share any additional thoughts, examples, or concerns about AI governance in your organization.

Q08
객관식

Which function best describes your primary role?

  • Engineering/ML
  • Product Management
  • Design/UX
  • Data/Analytics
  • Legal/Compliance
  • Security/Privacy
  • Procurement/Vendor Management
  • Operations
  • HR/People
  • Finance
  • Sales/Marketing
  • Other
Q09
메시지

Thank you for completing this survey. Your responses will be used in aggregate to strengthen AI governance practices across the organization.

Q10
의견 척도

How clear is the AI policy or standard that applies to your work?

척도: 17
최소:Not at all clear최대:Extremely clear
Q11
의견 척도

How efficient are the current AI review and approval workflows for your work?

척도: 17
최소:Not at all efficient최대:Extremely efficient
Q12
객관식

Which of the following criteria are used to determine AI risk tiers in your organization? Select all that apply.

  • Data sensitivity or classification
  • Potential impact on individuals or groups
  • User reach or scale of deployment
  • Regulatory or legal exposure
  • Model autonomy level
  • Business criticality
  • Not sure
  • Other
Q13
AI 인터뷰

We'd like to explore a few of your responses in more depth. An AI moderator will ask you 1–2 brief follow-up questions.

Q14
드롭다운

What is your seniority level?

  • Individual contributor
  • Manager
  • Senior manager
  • Director
  • VP
  • C-level/Founder
  • Prefer not to say
Q15
객관식

Which policy area most needs clearer guidance?

  • Scope and definitions
  • Approved use cases
  • Data handling and retention
  • Human review requirements
  • Third-party AI/vendor use
  • Recordkeeping and documentation
  • Incident reporting and escalation
  • Model testing and validation
  • Access and permissions
  • Other
Q16
의견 척도

I know when to escalate AI-related decisions to the appropriate oversight function (e.g., risk, legal, privacy, or security).

척도: 17
최소:Strongly disagree최대:Strongly agree
Q17
의견 척도

How established is bias and fairness testing for AI systems where you work?

척도: 17
최소:Not at all established최대:Fully established
Q18
드롭다운

How long have you been with your current organization?

  • Less than 6 months
  • 6–12 months
  • 1–2 years
  • 3–5 years
  • 6–10 years
  • 11+ years
  • Prefer not to say
Q19
의견 척도

How established is ongoing performance monitoring for deployed AI systems where you work?

척도: 17
최소:Not at all established최대:Fully established
Q20
드롭다운

Which region do you primarily work in?

  • Africa
  • Asia-Pacific
  • Europe
  • Latin America
  • Middle East
  • North America
  • Prefer not to say
Q21
의견 척도

How established are access controls and permissions for AI systems where you work?

척도: 17
최소:Not at all established최대:Fully established
Q22
의견 척도

How established is audit logging and documentation for AI systems where you work?

척도: 17
최소:Not at all established최대:Fully established
Q23
객관식

Do you know how to report an AI-related incident or near-miss?

  • Yes
  • No
  • Not sure
Q24
객관식

Approximately how many AI-related issues or near-misses have you observed in the past 12 months?

  • 0
  • 1–2
  • 3–5
  • 6–10
  • More than 10
  • Not sure

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.

설문을 공개할 준비가 되셨나요?

이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.

관련 템플릿

같은 카테고리의 다른 설문을 만나 보세요.

전체 보기
AI & Technology

AI Feature Adoption & Value Perception Survey

Measures user interest, perceived value, adoption barriers, and willingness to pay for AI-powered product features. Designed for SaaS product teams prioritizing their AI roadmap based on user feedback.

템플릿 보기
AI & Technology

AI Disclosure & Transparency Expectations Survey

Measures consumer expectations for AI transparency across products and services, capturing preferred disclosure methods, acceptability thresholds, and trust drivers to inform product labeling and policy decisions.

템플릿 보기
AI & Technology

AI-Assisted Feature Adoption & Trust Survey

Measures user adoption, satisfaction, trust, and pain points with AI-assisted product features. Use it to capture actionable feedback that informs product roadmap and feature prioritization decisions.

템플릿 보기
AI & Technology

엔터테인먼트 챗봇 참여도 및 만족도 설문조사

사람들이 엔터테인먼트 챗봇(친구 역할, 롤플레이, 유머, 스토리텔링)을 얼마나 자주 사용하는지, 무엇이 재방문을 유도하는지, 그리고 경험이 어디에서 기대에 못 미치는지를 측정합니다. 또한 AI 후속 질문을 통해 기억에 남는 특정 대화를 재구성하여 실제로 무엇이 재미있고, 그럴듯하며, 혹은 실망스러웠는지를 드러냅니다. 캐릭터 또는 엔터테인먼트 중심의 AI 경험을 출시하는 제품 및 콘텐츠 팀을 위해 제작되었습니다.

템플릿 보기
AI & Technology

AI Agent Output Review Burden and Trust Calibration Survey

Measures how much time and cognitive effort employees spend checking AI agent outputs, where trust is over- or under-calibrated, and what triggers a full manual re-check. An AI follow-up probes the last time output was wrong or nearly acted on unchecked.

템플릿 보기
AI & Technology

창고 안전 및 생산성 현장 평가

현장 창고 근로자로부터 안전 조건, 처리량 변화, 역할 명확성, 운영 도구에 대한 피드백을 수집하여 개선 우선순위를 파악하고 OSHA 준수를 지원합니다.

템플릿 보기