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Conference Session and Speaker Feedback Survey

Captures attendee reactions to a specific session — content depth, speaker delivery, relevance to their work, and preferred formats going forward — with an AI follow-up that digs into the specific moment that shaped their overall rating instead of a generic thumbs up or down.

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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 attending! We'd love your honest feedback on the session you just saw — it helps us book better speakers and formats next time. About 7 minutes.

Q02
단문형필수

Which session are you giving feedback on? (Include the speaker's name or session title.)

Q03
매트릭스필수

How much do you agree with each statement about this session?

4개 행 × 5개 열
  • The content depth matched what was promised in the session description
  • The speaker explained complex concepts clearly
  • The pacing (too fast or too slow) felt appropriate
  • There was enough time for questions or interaction
열: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q04
의견 척도필수

How relevant was this session's content to the work you do right now?

척도: 1 – 7
최소:Not relevant at all최대:Extremely relevant
Q05
평점 척도필수

How would you rate the speaker's overall delivery and presentation style?

범위: 1 – 5
최소:Poor최대:Excellent
Q06
객관식

Which format would you most like to see for this topic at a future event?

  • Traditional lecture/presentation
  • Panel discussion
  • Interactive workshop or hands-on lab
  • Fireside chat / interview format
  • Small-group roundtable
Q07
최선·최악 선택형(MaxDiff)

Which of these matter most, and least, to how much you value a session like this?

  • Depth of technical content
  • Speaker's expertise and credibility
  • Relevance to my current role
  • Opportunities for Q&A
  • Session length
  • Quality of slides/materials
  • Networking time before or after
세트별 최선·최악 선택최선:Matters most최악:Matters least
Q08
의견 척도필수

How likely are you to recommend this session to a colleague?

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

Reconstruct the specific moment or takeaway that most shaped this attendee's overall rating — a slide, a demo, an answer to a question, or a point where they got lost. If they rated content depth or relevance low, probe exactly where the mismatch was (too basic, too advanced, off-topic) and what they expected instead. If the recommendation score is low despite positive matrix answers, surface the hidden dealbreaker.

Q10
장문형

Anything specific you'd want to tell the speaker directly, good or bad?

Q11
객관식

Which best describes your role?

  • Individual contributor
  • Manager
  • Director or VP
  • Executive/C-suite
  • Student
  • Prefer not to say
Q12
객관식

How many times have you attended this conference, including this year?

  • First time
  • 2-3 times
  • 4 or more times
  • Prefer not to say
Q13
메시지

That's everything — thank you! Your feedback goes directly to our program committee and is shared (anonymously) with speakers to help them improve.

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 step that reconstructs the specific moment or takeaway shaping the attendee's overall rating, rather than stopping at a static scale
  • Combines multiple quantitative angles (matrix agreement statements, relevance rating-scale, delivery rating, best-worst trade-off prioritization, recommend-likelihood rating-scale) so ratings can be cross-checked against each other
  • Captures format preference (multiple-choice) and role/attendance history (multiple-choice) to segment feedback by attendee type and experience level
  • Ends with an open open-text inviting direct messages to the speaker, giving qualitative color beyond the AI follow-up

Jotform

E-Learning Session Feedback Form Template

This is a fielding-ready form template, but it's built for e-learning/online course sessions rather than live conference talks, so question framing (course structure, instructor pacing) only partially overlaps with conference-speaker feedback. It's a static form builder template, not tailored to capture a single memorable moment from a session.

잘하는 점

  • Ready-to-use, customizable form builder template
  • Likely covers standard e-learning session elements like content clarity and instructor effectiveness
  • Part of a broad Jotform template library for easy adaptation

아쉬운 점

  • No adaptive AI follow-up to probe why a rating was given — respondents just fill static fields
  • Built for e-learning contexts, not conference sessions, so questions won't map cleanly to speaker/session evaluation
  • No published methodology for how responses are scored or synthesized into insights

Typeform

Session Feedback Form Template

A generic session feedback template that could be adapted to conference talks, presented in Typeform's conversational one-question-at-a-time format. It's a static template — good for basic sentiment capture but not designed to dig into a specific standout moment. Customization to conference-specific language (speaker delivery, format preferences) would be needed.

잘하는 점

  • Clean, conversational UI known for higher completion rates
  • Generic enough to adapt to many session types including conference talks
  • Easy to embed and share via link or QR code

아쉬운 점

  • No adaptive AI interviewing — follow-up logic is limited to predefined branching, not open-ended probing
  • No built-in automated quality scoring of open-text responses
  • No voice-based interview option for richer verbal feedback

QuestionPro

Conference Evaluation Survey Questions + Sample Questionnaire Template

Directly comparable — a conference-specific evaluation template with sample questions covering sessions, speakers, and overall event logistics. It's a static questionnaire meant to be copied and configured, likely broader (whole-event) rather than focused on a single session's specific moment. Strong on breadth, but standard closed-question format throughout.

잘하는 점

  • Purpose-built for conference/event evaluation, so terminology and question bank fit the use case well
  • Sample questionnaire gives a ready starting point for admins
  • Backed by an established survey platform with reporting and analytics tools

아쉬운 점

  • No adaptive AI follow-up to reconstruct the specific moment shaping an attendee's rating — relies on fixed question sets
  • No voice AI interview option
  • No transparent per-response quality scoring or auto-generated qualitative synthesis of open text

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