QuestionPunkQuestionPunk
無料で始める
すべてのテンプレート
Education & Academic

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.

このテンプレートを使うほかのテンプレートを見る

設問の例

テンプレートの内容をプレビューできます。すべての設問は公開前に自由に編集できます。

全13問・約7分
Q01
メッセージ

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
選択式必須

Which AI upskilling program or track did you complete?

  • (Replace with Program A)
  • (Replace with Program B)
  • (Replace with Program C)
Q03
オピニオンスケール必須

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

スケール: 1 – 7
最小:Not at all confident最大:Extremely confident
Q04
オピニオンスケール必須

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

スケール: 1 – 7
最小:Not at all confident最大:Extremely confident
Q05
マトリクス必須

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

5行 × 5列
  • 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
列: Not improved · Slightly improved · Moderately improved · Significantly improved · Not applicable to me
Q06
選択式必須

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
評価スケール必須

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

範囲: 1 – 5
最小:Poor最大:Excellent
Q08
ベスト・ワースト選択（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
各セットで最も良いもの・最も悪いものを選択最も良い:Most valuable for future training最も悪い:Least valuable for future training
Q09
AIインタビュー

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
オピニオンスケール必須

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

スケール: 0 – 10
最小:Not at all likely最大:Extremely likely
Q11
選択式

Which best describes your role or department?

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

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
メッセージ

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.

含まれる機能

  • AIによる深掘り

    自由回答に合わせてAIが追加で質問し、固定のフォームでは拾えない具体的な内容を引き出します。

  • 注意確認設問

    急いだ回答や質の低い回答者を除外する仕組みを標準で備えています。

  • AIが作成する設問文

    文言、設問の順序、条件分岐をAIが調査の目的に合わせて作成します。

  • 自動レポート

    回答が集まると、テーマ、引用、わかりやすい要約が自動で作成されます。

このテンプレートを選ぶ理由

このテンプレートの設計意図をご紹介します。ほかのアンケートツールには、直接比較できるテンプレートが見つかりませんでした。

ここが違う

  • 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

よくあるご質問

「AI Upskilling Program Impact & Skill Transfer Survey」テンプレートにはどのような設問が含まれていますか？

すぐに使える設問が13問含まれており、最初の設問は次のとおりです：「Thanks for taking a few minutes to reflect on the AI upskilling program you completed! This helps us improve it for futu…」・「Which AI upskilling program or track did you complete?」・「Before this program, how confident were you using AI tools (e.g., generative AI assistants) in your daily work?」。すべての設問は上でプレビューでき、自由に編集できます。

このアンケートの回答にはどのくらい時間がかかりますか？

回答者は通常、13問を約7分で回答し終えます。

テンプレートは編集できますか？

はい。公開前であれば、すべての設問、選択肢、順序を編集できます。設問の追加や削除のほか、調査の目的に合わせた作り直しをAIエディターに依頼することもできます。

このテンプレートは無料で使えますか？

はい。エディターで開けば、すぐに編集を始められます。お試しにアカウントは不要で、無料プランでアンケートを公開できます。

公開の準備はできましたか？

このテンプレートをエディターで開いてみてください。最初の回答者が目にする前に、すべてを自由に変更できます。

このテンプレートを使う無料で始める

関連テンプレート

似たテーマのほかの調査もご覧ください。

すべて見る
Education & Academic

Student Wellbeing and Academic Stress Survey

Measures student stress levels, workload, sleep habits, and use of mental health support, then identifies the biggest barriers keeping students from asking for help. Built for student affairs, wellness centers, and academic advisors; the AI follow-up reconstructs a specific recent moment a student needed support but didn't seek it, and what would have changed that.

テンプレートを見る
Education & Academic

Training Program Effectiveness & Satisfaction Survey

Evaluates how well a training program delivered on content quality, instructor effectiveness, and real-world applicability, including a best-worst trade-off on what matters most in future sessions. An AI follow-up interview digs into whether participants have actually used the skills on the job and what got in the way if not. Built for L&D teams and training providers assessing course impact.

テンプレートを見る
Education & Academic

Post-Training Session Feedback & Impact Survey

Captures how a training session landed — content quality, trainer effectiveness, and confidence applying new skills — for L&D teams and instructors. An AI follow-up interview digs into the real story behind the recommendation score: what specifically helped or blocked people from using what they learned.

テンプレートを見る
Education & Academic

Train-the-Trainer Program Effectiveness Survey

Evaluates whether a train-the-trainer program actually builds facilitation skill and gets used back on the job — covering content relevance, confidence delivering sessions, and skill transfer. An AI follow-up interview reconstructs a real training session the respondent led afterward, not just their impression of the course.

テンプレートを見る
Education & Academic

Employee Training Program Effectiveness Survey

Measures whether recent training actually changed what employees can do on the job — covering content quality, format preferences, and topic priorities — with an AI follow-up that digs into the real reasons behind low preparedness scores instead of settling for a number.

テンプレートを見る
Education & Academic

Healthcare Career Training & Development Impact Survey

Assesses how well career training and development programs serve clinical and clinical-support staff — what's completed, how confident staff feel applying new skills, and what's blocking follow-through. The AI follow-up interview digs into a real recent attempt to use training on the job, surfacing gaps generic satisfaction scores miss.

テンプレートを見る