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AI Upskilling Program Impact & Skill Transfer Survey

Measures whether an AI skills training program actually changed how employees work — confidence gains, specific skill areas, and real on-the-job use — for L&D teams evaluating a completed cohort. The AI follow-up interview digs into what participants actually did differently at work and what's blocking wider adoption.

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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 to reflect on the AI upskilling program you completed! This helps us improve it for future cohorts. Your responses are completely confidential and anonymized. About 5-6 minutes.

Q02
객관식필수

Which AI upskilling program or track did you complete?

  • (Replace with Program A)
  • (Replace with Program B)
  • (Replace with Program C)
Q03
의견 척도필수

Before this program, how confident were you using AI tools (e.g., generative AI assistants) in your daily work?

척도: 1 – 7
최소:Not at all confident최대:Extremely confident
Q04
의견 척도필수

Now that you've completed the program, how confident are you using AI tools in your daily work?

척도: 1 – 7
최소:Not at all confident최대:Extremely confident
Q05
매트릭스필수

How much did the program improve each of the following skills?

5개 행 × 5개 열
  • Writing effective prompts to get useful AI output
  • Choosing the right AI tool for a given task
  • Verifying and fact-checking AI-generated content
  • Integrating AI into your existing workflows
  • Understanding ethical and responsible use guidelines
열: Not improved · Slightly improved · Moderately improved · Significantly improved · Not applicable to me
Q06
객관식필수

In the last 30 days, how often have you used skills from this program in your actual work tasks?

  • Not at all
  • Once or twice
  • About weekly
  • Several times a week
  • Daily
Q07
평점 척도필수

Overall, how would you rate the quality of the AI upskilling program?

범위: 1 – 5
최소:Poor최대:Excellent
Q08
최선·최악 선택형(MaxDiff)

Which of these topics would be most and least valuable to emphasize in future AI training?

  • Prompt engineering fundamentals
  • Selecting the right AI tool for the task
  • Verifying and fact-checking AI outputs
  • Integrating AI into daily workflows
  • Data privacy and responsible use
  • Advanced or technical AI applications
  • Hands-on practice with real work scenarios
세트별 최선·최악 선택최선:Most valuable for future training최악:Least valuable for future training
Q09
AI 인터뷰

Reconstruct a specific, concrete example of the respondent using an AI skill from this program in their actual work in the last 30 days — what the task was, what they did, and what the outcome was. If they said they've used it 'not at all', probe what's stopping them: forgotten skills, no relevant use case, lack of tool access, or lack of confidence. Anchor follow-ups on their stated confidence change and their frequency-of-use answer.

Q10
의견 척도필수

How likely are you to recommend this AI upskilling program to a colleague in a similar role?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q11
객관식

Which best describes your role or department?

  • (Replace with Department A)
  • (Replace with Department B)
  • (Replace with Department C)
  • Prefer not to say
Q12
객관식

How long have you been with the organization?

  • Less than 6 months
  • 6 months to 2 years
  • 2 to 5 years
  • 5+ years
  • Prefer not to say
Q13
메시지

That's everything — thank you! Your responses feed into a report on how well this program is changing day-to-day AI use, shared with the training team.

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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차별화 포인트

  • Pairs before/after confidence ratings with a skills matrix so L&D teams can quantify perceived skill gains by area, not just overall satisfaction
  • Includes an AI follow-up interview that reconstructs a specific, concrete example of the participant applying an AI skill on the job — surfacing real skill transfer instead of self-reported intent
  • Uses a max-diff exercise to prioritize which topics to emphasize in future cohorts, giving program owners actionable curriculum direction
  • Combines usage frequency, recommendation likelihood, and role/tenure segmentation questions with an auto-generated report, so evaluation and stakeholder reporting are built in rather than a separate step

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