Online Course Feedback & Completion Survey
Captures how learners experienced an online course — content clarity, pacing, instructor delivery, and completion barriers — with an AI follow-up interview that digs into the specific moment a learner struggled, disengaged, or nearly dropped out. Built for course creators, instructional designers, and academic teams reviewing a cohort or module.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
How much of the course did you complete?
- All of it
- Most of it
- About half
- Less than half
- I dropped out early
Overall, how satisfied are you with this course?
How much do you agree with each statement about the course?
- The content was clear and easy to follow
- The pace matched what I could handle
- The instructor communicated concepts effectively
- What I learned applies to real tasks I do
- Assessments (quizzes/assignments) fairly tested what was taught
In the last few weeks of taking this course, what got in the way of finishing or engaging fully? Select all that apply.
- Not enough time
- Content was too difficult
- Content was too easy / not challenging enough
- Lost motivation or interest
- Technical issues with the platform
- Confusing instructions or navigation
How would you rate the quality of the videos, readings, or lecture materials?
How likely are you to recommend this course to a colleague or friend?
Reconstruct the specific moment in the course where the respondent's engagement rose or fell the most — anchor on their completion status and satisfaction rating. If they selected obstacles like losing motivation or difficulty, probe exactly which module or task triggered it and what would have kept them going. If they rated the course highly, probe what single piece of content or moment they'd point a friend to first. Get concrete detail, not general impressions.
For your next course, which format would you prefer?
- Self-paced, no deadlines
- Scheduled cohort with weekly deadlines
- Live sessions with an instructor
- Short bite-sized modules
- No preference
What's your age range?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
- Prefer not to say
What's the highest level of education you've completed?
- High school
- Some college
- Associate degree
- Bachelor's degree
- Graduate degree
- Prefer not to say
Which best describes your current employment status?
- Employed full-time
- Employed part-time
- Self-employed
- Student
- Unemployed
- Retired
- Prefer not to say
That's everything — thank you! Your responses will be reviewed alongside other learners' feedback to improve this course's content, pacing, and support before the next cohort starts.
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
- Includes a dedicated AI follow-up interview that reconstructs the specific moment a learner struggled, disengaged, or nearly dropped out — not just a static rating
- Combines quantitative measures (completion rate, satisfaction, material quality rating, likelihood to recommend, agreement matrix) with open-ended AI probing in one flow
- Captures completion barriers directly with a targeted multiple-choice question on what got in the way of finishing, then lets the AI interview dig deeper on that specific moment
- Collects demographic and format-preference context (age range, education level, employment status, preferred next course format) to segment cohort results, with automated reporting to summarize findings
SurveySparrow
Online Course Feedback ChatbotA conversational chatbot-style form for collecting course feedback, fielding-ready and easy to embed. It's built around a scripted chat flow rather than true adaptive interviewing — the conversational tone is UI styling, not dynamic follow-up logic. Good for general satisfaction capture but not for isolating a specific disengagement moment.
잘하는 점
- Conversational, chat-style UI likely improves completion rates over plain forms
- Ready-to-use template aimed specifically at course feedback
- Part of a broader survey platform with standard reporting
아쉬운 점
- No adaptive AI follow-up — chat flow is scripted, not responsive to individual answers
- No mention of voice interview capability
- No published methodology for how responses are scored or synthesized
Jotform
Online Course Instructor Feedback Form TemplateA static form template focused on rating instructor performance, easy to customize via Jotform's form builder. It's a fielding-ready form but oriented toward instructor evaluation rather than learner completion barriers or engagement moments. No interview or follow-up mechanism is present.
잘하는 점
- Simple, customizable drag-and-drop form builder
- Widely used, well-established form platform with many integrations
- Fielding-ready template requiring minimal setup
아쉬운 점
- Static question set with no adaptive follow-up on struggle points or drop-off moments
- No voice or AI interview option
- No automated per-response quality scoring or transparent prompt methodology
Typeform
Free Course Feedback Survey TemplateA polished, one-question-at-a-time survey template well-suited for general course feedback collection. It offers a pleasant respondent experience but is still a fixed question sequence rather than an adaptive interview that reconstructs specific moments of struggle. Reporting is standard dashboard analytics, not narrative synthesis.
잘하는 점
- Clean, one-at-a-time question flow known for higher completion rates
- Free template available, easy to launch quickly
- Established brand with broad integration ecosystem
아쉬운 점
- No adaptive AI follow-up questioning to probe a specific disengagement moment
- No voice AI interview mode
- No transparent prompt-level methodology or automated qualitative reporting
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.
관련 템플릿
같은 카테고리의 다른 설문을 만나 보세요.
College Football Top 25 Poll Reasoning Survey
Captures how fans, media, or panel voters actually build a college football Top 25 ballot — which teams they'd rank where, which criteria drive those calls, and how confident they are in the official rankings. The AI follow-up interview digs into the reasoning behind a voter's #1 pick and any team where their ballot diverges sharply from the published poll.
템플릿 보기Teacher Self-Evaluation and Reflective Practice Survey
A structured self-reflection for teachers covering instructional practices, classroom management, student engagement, and professional growth priorities, plus an AI follow-up interview that digs into a specific teaching moment behind the numbers instead of stopping at a rating.
템플릿 보기교육 세션 사후 피드백 및 효과 설문
교육 세션이 어떻게 전달되었는지 — 콘텐츠 품질, 강사의 효과성, 새로운 기술을 적용하는 자신감 — 를 파악하여 L&D 팀과 강사에게 제공합니다. AI 후속 인터뷰는 추천 점수 이면의 실제 이야기를 파고듭니다: 배운 내용을 활용하는 데 구체적으로 무엇이 도움이 되었거나 방해가 되었는지 알아봅니다.
템플릿 보기Student Perception of Course Quality Survey
Captures how students genuinely experience a course or program — clarity of teaching, fairness, workload, and engagement — paired with an AI follow-up that digs into the specific moment behind their overall rating. Built for instructors, program leads, and academic affairs teams who want more than end-of-term star ratings.
템플릿 보기Student Motivation and Engagement Survey
Measures what drives students to show up, engage, and keep working across a course or term — effort, interest, and barriers — with an AI follow-up that digs into the real reason behind their biggest motivation dip.
템플릿 보기Distance Learning Experience Survey for Students
Captures how school students are experiencing remote or online classes — focus, workload, technology access, and connection with teachers and classmates — with an AI follow-up that digs into the single biggest obstacle they name. Built for school administrators, ed-tech teams, and researchers evaluating distance learning programs.
템플릿 보기