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Frontier AI Skills Gap Self-Assessment for Teams

Measures how confident employees feel using frontier AI tools like ChatGPT and Copilot across core workplace skills, where the biggest gaps sit, and what's blocking adoption. An AI follow-up interview digs into the real story behind each person's lowest-confidence skill area, not just the number they picked. Built for HR and L&D teams planning AI training.

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샘플 질문

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

질문 13개 · 약 7분
Q01
메시지

Thanks for taking a few minutes for this one! We're trying to understand how comfortable people feel using AI tools at work right now, and where we should focus training. Your responses are completely confidential and anonymized. Fully honest answers are the most useful ones — this takes about 6 minutes.

Q02
객관식필수

In the last 30 days, how often have you used generative AI tools (e.g., ChatGPT, Copilot, Claude, Gemini) in your day-to-day work?

  • Not at all
  • A few times
  • Weekly
  • Daily
  • Multiple times a day
Q03
슬라이더 매트릭스필수

How confident do you feel doing each of the following right now?

6개 행, 각 행마다 슬라이더 1개
  • Writing prompts that get useful results on the first or second try
  • Judging whether an AI output is accurate before using it
  • Fitting AI tools into your existing workflow without extra hassle
  • Understanding where AI tools are likely to get things wrong
  • Using AI to analyze or summarize data
  • 외 1개
슬라이더 0–10최소:No confidence최대:Complete confidence
Q04
객관식

Which of the following AI-related training have you received in the past 12 months?

  • Formal company-provided training or workshop
  • Self-directed learning (courses, videos, articles)
  • Peer or manager mentoring
  • Vendor or tool-specific onboarding
Q05
최선·최악 선택형(MaxDiff)필수

Which of these skill areas most needs development on your team, and which needs it least?

  • Writing effective prompts
  • Spotting inaccurate or fabricated AI output
  • Data privacy and security practices with AI tools
  • Automating repetitive tasks with AI
  • Using AI for coding or technical work
  • Using AI for writing and communication
  • Judging when NOT to use AI
  • Collaborating across teams on AI-assisted work
세트별 최선·최악 선택최선:Most needs development최악:Least needs development
Q06
의견 척도필수

How confident are you that your team's overall AI skills will keep pace with how fast the technology is changing?

척도: 1 – 7
최소:Not at all confident최대:Extremely confident
Q07
객관식필수

What is the single biggest thing stopping you from using AI more effectively in your role?

  • Lack of training or guidance
  • Unclear when AI is appropriate to use
  • Not enough time to experiment
  • Concerns about data, security, or accuracy
  • Limited access to tools or licenses
  • Little encouragement from leadership or managers
Q08
AI 인터뷰

Anchor on the skill area where this respondent rated their confidence lowest and the barrier they picked as biggest. Get a concrete, recent example of a moment that gap actually slowed them down or produced a bad outcome, and ask what specific support (training, tool, time, permission) would have closed the gap in that moment. If they say they have no confidence gaps at all, probe whether that's because they genuinely feel prepared or because they simply avoid using AI for anything ambiguous.

Q09
메시지

Almost done — just a couple of quick background questions to help us understand patterns across teams.

Q10
객관식

Which department are you part of?

  • Engineering / Product
  • Sales / Business Development
  • Marketing
  • Operations
  • Finance
  • Human Resources
  • Customer Support
  • Prefer not to say
Q11
객관식

How long have you been with the company?

  • Less than 1 year
  • 1-3 years
  • 3-7 years
  • More than 7 years
  • Prefer not to say
Q12
객관식

Which best describes your role level?

  • Individual contributor
  • Team lead / Manager
  • Director / Senior leadership
  • Executive
  • Prefer not to say
Q13
메시지

That's everything — thank you for being candid! Your responses, combined with everyone else's, will shape what AI training and support we roll out next, no individual answers will be singled out.

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

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

이 템플릿을 선택하는 이유

  • Digs into the story behind each person's lowest-confidence skill area with an AI follow-up interview, not just a static rating
  • Uses a slider matrix plus a max-diff exercise to pinpoint which skill gaps matter most on a team, not just a single self-rating scale
  • Separates recent AI usage frequency, training received, and adoption blockers so L&D teams can see where confidence, access, and training diverge
  • Collects role level, tenure, and department as context so results can be segmented when planning targeted AI training

Jotform

Digital Skills Self-Assessment Form Template

A static form template for self-rating general digital skills, easy to customize and embed via Jotform's form builder. It covers digital skills broadly rather than frontier AI tools specifically, and it's a fielding-ready form rather than a research instrument with built-in analysis. No mechanism to explore why a respondent rated a skill low.

잘하는 점

  • Simple, quick-to-deploy form builder with drag-and-drop customization
  • Broad digital skills framing that's easy to adapt to different audiences
  • Established, widely used form platform with integrations

아쉬운 점

  • Static self-rating only — no adaptive follow-up to understand the reasoning behind low-confidence answers
  • Not focused on frontier AI tools (ChatGPT, Copilot) or team-level training planning
  • No automated per-response quality scoring or auto-generated report synthesizing themes

QuestionPro

Self evaluation of productivity and quality survey questions + sample questionnaire template

A general employee self-assessment questionnaire centered on productivity and quality rather than AI skills or adoption specifically. It's a broad, adaptable sample question set on an established survey platform, useful as a generic starting point but not tailored to AI skills gaps. Analysis appears to rely on standard survey reporting rather than qualitative follow-up.

잘하는 점

  • Flexible sample question bank covering general performance self-evaluation
  • Backed by an established enterprise survey platform with reporting dashboards
  • Easy to adapt wording for different self-assessment use cases

아쉬운 점

  • Not built around frontier AI tool confidence or adoption blockers — requires heavy customization to fit this use case
  • No adaptive AI interview to probe the story behind a low self-rating
  • No transparent, published methodology for how responses are scored or synthesized

SurveySparrow

Free Soft Skills Assessment Questionnaire

A conversational-style questionnaire focused on soft skills (communication, teamwork, etc.), not AI tool confidence or adoption. It's fielding-ready and benefits from SurveySparrow's chat-like UI, but it doesn't address frontier AI skills gaps or training blockers at all. Useful only as a loosely related template for general skills self-assessment.

잘하는 점

  • Conversational, chat-style question flow that can feel more engaging than a static form
  • Exportable to PDF and easy to launch quickly
  • Focused specifically on soft-skills competencies with pre-built question sets

아쉬운 점

  • Entirely soft-skills focused — no coverage of AI tool usage, confidence, or adoption blockers
  • No adaptive follow-up interview to explore the reasoning behind a low skill rating
  • No automated quality scoring or auto-generated report tailored to AI training planning

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