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Education & Academic

College Experience & Satisfaction Feedback Survey

Measures how satisfied students are with instruction, advising, facilities, and support services this term, and what the college should prioritize improving next. An AI follow-up interview digs into the story behind each student's recommendation score, surfacing specific incidents and unmet needs that closed-ended ratings miss. Built for academic affairs and student experience teams.

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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 share your feedback on your college experience this term! Your honest answers help shape real changes. Your responses are completely confidential and anonymized. This should take about 5-6 minutes.

Q02
객관식필수

What is your current class standing?

  • Freshman / first-year
  • Sophomore
  • Junior
  • Senior
  • Graduate or professional student
  • Other
Q03
의견 척도필수

Overall, how satisfied are you with your college experience this term?

척도: 1 – 7
최소:Very dissatisfied최대:Very satisfied
Q04
매트릭스필수

Please rate each of the following aspects of your college experience.

7개 행 × 5개 열
  • Quality of course content
  • Availability of instructors outside class
  • Academic advising
  • Campus facilities (buildings, labs, study spaces)
  • Financial aid support
  • 외 2개
열: Poor · Fair · Good · Very Good · Excellent
Q05
객관식필수

In the last 30 days, how often have you used academic support resources like tutoring, the writing center, or professor office hours?

  • Never
  • Once
  • A few times
  • Weekly or more
Q06
최선·최악 선택형(MaxDiff)필수

Which of the following should the college prioritize improving? Choose the most and least important each round.

  • Smaller class sizes
  • More availability of office hours
  • Expanded mental health counseling
  • Extended library hours
  • More career services support
  • Clearer financial aid guidance
  • Improved campus wifi and technology
  • More diverse course offerings
세트별 최선·최악 선택최선:Most important to improve최악:Least important to improve
Q07
평점 척도필수

How would you rate the quality of instruction from your professors this term?

범위: 1 – 5
최소:Poor최대:Excellent
Q08
의견 척도필수

How likely are you to recommend this college to a prospective student?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q09
AI 인터뷰

Probe the reasoning behind the respondent's recommendation score, anchoring on whichever aspect they rated lowest in the earlier ratings battery. Ask for a specific, recent example that shaped how they feel, and what would have changed the outcome. If the respondent gave a high recommendation score but a low rating on any single aspect, explore why that gap didn't affect their overall view. If they used academic support resources rarely or never, gently ask what would make them more likely to use them.

Q10
장문형

Is there anything else you'd like the college to know about your experience this term?

Q11
객관식

What is your age range?

  • 18-20
  • 21-23
  • 24-29
  • 30 and older
  • Prefer not to say
Q12
객관식

What is your gender identity?

  • Woman
  • Man
  • Non-binary
  • Prefer not to say
Q13
메시지

Thank you for sharing your feedback! Your responses will be compiled into a report for academic affairs and student services teams to guide real improvements on campus.

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

  • Goes beyond a single course to cover the full college experience this term — instruction, advising, facilities, and support services — via a rated matrix plus individual instruction and satisfaction ratings.
  • Uses a max-diff prioritization question so academic affairs teams get a forced-tradeoff ranking of what to fix next, not just averaged satisfaction scores.
  • Pairs a recommendation likelihood score with an AI follow-up interview that probes the specific reasoning, incidents, and unmet needs behind that score — something closed-ended ratings alone can't surface.
  • Closes with an open long-text question and demographic breakdowns (class standing, age, gender) so reports can be segmented, and responses auto-compile into a report for the team.

Jotform

College Course Feedback Form Template

This is a fielding-ready, drag-and-drop form focused specifically on a single course/instructor rather than the whole-college experience (advising, facilities, support services) our template covers. It's built on Jotform's general form builder, so it's easy to customize but not purpose-built for student-experience research.

잘하는 점

  • Ready-to-use, easily customizable form builder with broad template library
  • Simple for instructors or departments to deploy quickly per course
  • Familiar Jotform ecosystem for collecting and exporting responses

아쉬운 점

  • Static question set with no adaptive follow-up — can't probe why a student rated something low
  • No voice AI interview or guided screen-share task option
  • Scoped to course-level feedback rather than institution-wide satisfaction and prioritization

QuestionPro

College Feedback Survey Questions For Students + Sample Questionnaire Template

This page reads as a question-bank/guide with sample questions and a template rather than a single polished, ready-to-field survey — useful as a reference but requiring more assembly. QuestionPro's broader survey platform offers solid analytics tooling for structured data.

잘하는 점

  • Large sample question bank covering multiple aspects of the college experience
  • Backed by an established enterprise survey platform with reporting and analytics features
  • Guidance-style content can help teams write their own questions

아쉬운 점

  • Presented as a guide/sample list rather than a single fielding-ready survey instrument
  • No adaptive AI interview to dig into the story behind a low satisfaction or recommendation score
  • No published prompt-level transparency or automated per-response quality scoring

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