Q01
メッセージ
すべてのテンプレートIndustry-Specific
Virtual Class & Remote Learning Feedback Survey
Captures how well a virtual class delivered on content clarity, technical quality, and engagement — for training teams and educators running live or recorded remote sessions. An AI follow-up interview digs into what actually happened during the session that a rating alone can't explain, like where attention dropped or which moment made the material click.
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12問・約7分
Q02
選択式必須
How did you attend this class?
- Live, on camera
- Live, audio/camera off
- Watched a recording
- Joined live but missed parts, caught up on recording
Q03
オピニオンスケール必須
Overall, how satisfied were you with this class?
スケール: 1 – 7
最小:Very dissatisfied最大:Very satisfied
Q04
マトリクス必須
How much do you agree with each statement about this class?
5行 × 5列
- The audio and video quality were reliable throughout
- The pace of the session matched my ability to follow along
- The materials or slides shared were clear and useful
- The instructor explained concepts clearly
- I had real opportunities to ask questions or participate
列: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
評価スケール必須
How would you rate the instructor's ability to keep remote attendees engaged?
範囲: 1 – 5
最小:Not engaging at all最大:Extremely engaging
Q06
選択式
Which, if any, technical issues did you experience during this class?
- Audio cutting out or lagging
- Video freezing or poor quality
- Difficulty accessing the platform or link
- Screen sharing or slides not visible
- Chat or Q&A features not working
Q07
AIインタビュー
Reconstruct what actually happened for this respondent during the class rather than just their rating: ask them to walk through one specific moment that stood out, whether positive (something clicked) or negative (attention drifted, confusion, or a technical problem). If they mentioned any technical issues or disagreed with statements about pacing or participation opportunities, probe exactly when it happened and how it affected their ability to follow the session. If their satisfaction rating was low, ask what single change would have made the biggest difference.
Q08
オピニオンスケール必須
How likely are you to recommend this class to a colleague or peer?
スケール: 0 – 10
最小:Not at all likely最大:Extremely likely
Q09
自由回答（長文）
What is one thing we could change to make future virtual classes more valuable for you?
Q10
選択式
Which best describes your role in attending this class?
- Student
- Employee / workplace training
- Professional development / certification
- Prefer not to say
Q11
プルダウン
How much prior experience did you have with the topic before this class? (optional)
- None
- A little
- Moderate
- Extensive
- Prefer not to say
Q12
メッセージ
That's everything — thank you for the detailed feedback! Your responses will be reviewed by the training team to improve delivery, materials, and platform reliability for future sessions.
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。
他ツールとの比較
ほかのアンケートツールで最も近いテンプレートを調べました。それぞれの優れている点と、このテンプレートがさらに踏み込んでいる点をまとめています。
このテンプレートを選ぶ理由
- Goes beyond a satisfaction score with an AI follow-up interview that reconstructs what actually happened in the session — where attention dropped, what made the material click — instead of leaving that context up to a single open-text box.
- Combines standard feedback metrics (satisfaction, likelihood to recommend, engagement rating, agreement matrix) with role and prior-experience segmentation, so training teams can see how different attendee types experienced the class.
- Directly captures technical delivery quality via a dedicated technical-issues question alongside content and engagement measures, giving a fuller picture of what broke down and why.
- Backed by transparent, auto-generated reporting and per-response quality scoring, so training teams get a synthesized readout rather than raw transcripts to sift through manually.
SurveySparrow
Virtual Class Feedback Form TemplateA ready-to-field static feedback template built specifically for virtual classes, covering the same general territory as our survey (satisfaction, engagement, content quality). It's a fixed questionnaire, so all respondents answer identical questions regardless of what actually happened in their session.
優れている点
- Purpose-built for virtual class feedback rather than a generic survey template
- Likely quick to deploy with SurveySparrow's form-building tools
物足りない点
- No adaptive follow-up questioning — cannot probe further when a rating reveals a problem
- No mechanism to reconstruct session-specific moments (drop-off points, standout moments) beyond what open-text fields capture
- No published methodology on question logic or scoring
Typeform
Free Class Feedback Form TemplateA general class feedback template (not specific to virtual/remote delivery) offered free on Typeform's platform. Good for basic satisfaction capture with Typeform's conversational UI, but it's a static form rather than an interview-style survey.
優れている点
- Polished, conversational one-question-at-a-time interface
- Free to use and easy to customize for general class feedback
物足りない点
- Not tailored to virtual/remote-specific issues like technical quality or attendance mode
- Fixed question flow with no adaptive AI probing into what happened during the session
- No automated quality scoring or structured report generation built for training teams
QuestionPro
Seminar feedback & attendee information survey questions + Sample questionnaire templateA broader seminar/event feedback template with attendee information questions; it's oriented toward seminars generally rather than remote/virtual class delivery specifically. Useful as a question-bank reference, but requires adaptation for virtual-class contexts like technical issues or engagement over video.
優れている点
- Covers attendee information alongside feedback, useful for segmentation
- Broad question library that can be adapted for various seminar formats
物足りない点
- Not specifically designed for remote/virtual delivery nuances (technical issues, remote engagement)
- Static questionnaire format with no adaptive interview component to explain low scores
- No auto-generated report or per-response quality scoring described
よくあるご質問
「Virtual Class & Remote Learning Feedback 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12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 share feedback on the virtual class you just attended! Your input helps us make the n…」・「How did you attend this class?」・「Overall, how satisfied were you with this class?」。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、12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。
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。