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Education & Academic

Student Program Recommendation & Advocacy Survey

Measures how likely students are to recommend a course, program, or instructor to a peer, what drives that willingness, and where the experience falls short. An AI follow-up interview digs into the specific reasons behind each student's score, surfacing concrete moments and details that a rating alone can't capture. Built for academic departments, bootcamps, and course teams tracking word-of-mouth and retention risk.

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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10問・約6分
Q01
メッセージ

Hi! We're checking in on your experience with (Replace with course/program name) and whether you'd recommend it to another student. Your responses are completely confidential and anonymized. This takes about 5 minutes and your honest feedback helps us improve it. (Template note: replace the program name and any references throughout before launching.)

Q02
オピニオンスケール必須

How likely are you to recommend this program to a fellow student in a similar situation?

スケール: 0 – 10
最小:Not at all likely最大:Extremely likely
Q03
マトリクス必須

How would you rate each of the following aspects of your experience?

5行 × 5列
  • Quality of instruction
  • Relevance of course content to your goals
  • Workload and pacing
  • Availability of support (instructors, TAs, advisors)
  • Preparation for next steps (further study, career, project work)
列: Poor · Below average · Average · Good · Excellent
Q04
選択式必須

In the last month, which single thing most influenced how you'd describe this program to a friend?

  • A specific class, lecture, or assignment
  • Interaction with an instructor or advisor
  • Workload or time demands
  • Career or academic outcomes you're seeing
  • Interactions with other students
  • Administrative or logistical issues
Q05
ランク付け

If you could change three things about this program, rank these from most to least urgent to fix.

  1. Course content and materials
  2. Instructor availability and feedback speed
  3. Workload and pacing
  4. Clarity of expectations and grading
  5. Career or academic support
  6. Peer collaboration opportunities
  7. Administrative processes
ドラッグして順位を付ける
Q06
AIインタビュー

Reference the respondent's recommendation likelihood score directly and ask them to walk through the specific experience that most shaped it — a class, conversation, or moment. If the score is 8 or above, probe what would make them actively promote the program rather than just approve of it. If the score is 6 or below, identify the single fixable issue that would move their score up, and press for a concrete example rather than a general complaint. Do not let vague answers like 'it was fine' or 'not great' stand without a specific instance.

Q07
自由回答（長文）

Is there anything else about your experience — good or bad — that these questions didn't capture?

Q08
選択式

What is your current year or stage in the program?

  • First year
  • Second year
  • Third year
  • Fourth year or beyond
  • Recently completed/graduated
  • Prefer not to say
Q09
自由回答（短文）

What is your major, track, or program specialization? (Optional)

Q10
メッセージ

Thank you for sharing your honest perspective! Your responses will be reviewed alongside other students' feedback to guide changes to the program — individual answers are not shared with instructors in identifiable form.

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

  • Directly measures recommendation likelihood with an opinion scale, then uses an AI follow-up interview that references the respondent's specific score to dig into the concrete reasons behind it — something a static rating question can't do.
  • Combines quantitative signals (opinion scale, matrix ratings, ranking of what to change) with qualitative depth (open long-text and AI-driven probing) in a single flow, rather than forcing a choice between the two.
  • Includes a ranking question so departments know which specific changes students prioritize, plus optional major/stage questions to segment recommendation drivers and retention risk by student group.
  • Ends with a transparent close-out message and produces an auto-generated report, so course teams get organized findings without manually coding open-ended responses.

QuestionPro

Course evaluation sample questions and survey template

A course/teacher evaluation template with sample questions covering instructional quality, materials, and general satisfaction. It's a fielding-ready static form aimed at broad course evaluation rather than specifically isolating word-of-mouth recommendation drivers. Good for standard end-of-term evaluations but not built around a single recommendation-likelihood metric.

優れている点

  • Established survey template library with sample question sets tailored to academic course/teacher evaluation
  • Covers general course quality dimensions likely useful for broad satisfaction reporting
  • Backed by a full survey platform with standard analytics and reporting tools

物足りない点

  • Static question set with no adaptive AI follow-up to probe the specific reasons behind a low or high evaluation score
  • No voice AI interview or screen-share guided task option for deeper qualitative context
  • No transparent, published prompt methodology for how open-ended responses are analyzed

SurveyMonkey

Graduation Survey Template for University

A university graduation survey template focused on capturing overall student experience and outcomes at the point of graduation. It's a ready-to-use static form, but its scope is broader program-completion feedback rather than a dedicated recommend-to-a-peer and retention-risk instrument. Useful for exit surveys, less suited to ongoing word-of-mouth tracking mid-program.

優れている点

  • Simple, ready-to-deploy template backed by a widely used survey platform with standard reporting dashboards
  • Framed specifically for the graduation milestone, useful for end-of-program outcome capture
  • Easy distribution and basic analytics through an established survey tool

物足りない点

  • Fixed question set with no adaptive AI interview to follow up on why a student would or wouldn't recommend the program
  • No voice AI or guided screen-share task option to surface specific moments behind a score
  • Not designed for mid-program, recurring recommendation/retention-risk tracking — more of a one-time exit survey

よくあるご質問

「Student Program Recommendation & Advocacy 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10問含まれており、最初の設問は次のとおりです：「Hi! We're checking in on your experience with (Replace with course/program name) and whether you'd recommend it to anoth…」・「How likely are you to recommend this program to a fellow student in a similar situation?」・「How would you rate each of the following aspects of your experience?」。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、10問を約6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

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