Conference Speaker & Session Evaluation Survey
Captures how attendees rate a speaker's clarity, expertise, and engagement right after a session, plus whether the content met expectations — with an AI follow-up that digs into the specific moment behind their recommendation score. Built for event organizers, L&D teams, and conference producers deciding which speakers to invite back.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
Overall, how would you rate this session?
How much do you agree with each of the following about the speaker?
- Explained concepts clearly
- Demonstrated deep knowledge of the topic
- Kept the audience engaged
- Paced the session appropriately
- Handled questions well
How relevant was the content to your work or interests?
How likely are you to recommend this speaker to a colleague?
Which best describes how this session compared to your expectations?
- Fell short of expectations
- Met expectations
- Exceeded expectations
Rank these aspects of the session by how much value they added for you (most valuable first).
- New information or insights
- Practical takeaways or tools
- Real-world examples or case studies
- Q&A / audience interaction
- Speaker's presentation style
Probe the reasoning behind the respondent's recommendation score for the speaker. Anchor on a specific moment in the session — a slide, story, or answer — that shaped their rating. If the score was low, find out precisely what fell flat (content, delivery, pacing, or relevance) and what would have changed their mind. If the score was high, find out what they'd tell someone deciding whether to attend this speaker's next session.
What's one thing this speaker could do differently to improve future sessions?
Would you attend another session by this speaker?
- Yes
- No
- Maybe, depends on the topic
Which best describes your current role?
- Individual contributor
- Manager
- Director / VP
- C-suite / Executive
- Student
- Prefer not to say
Thanks for sharing your feedback! We'll combine your ratings and comments with other attendees' responses to help choose and coach speakers for future events.
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 probes the specific moment behind each attendee's recommendation score, rather than stopping at a static number.
- Combines standard rating formats (opinion scale, matrix, rating, ranking) with an open-ended long-text question, giving organizers both quantifiable scores and qualitative context in one flow.
- Captures role-based segmentation and 'would attend again' intent alongside expectation-comparison, so organizers can see how different attendee types (e.g., practitioners vs. managers) rated the same speaker.
- Closes with a transparent, personalized chat message confirming how responses will be aggregated into a report — set expectations without hiding the process.
Jotform
Speaker Evaluation Form TemplateA fielding-ready drag-and-drop form covering standard speaker evaluation criteria like clarity and knowledge. It's built on Jotform's general form builder, so customization is flexible but every respondent sees the same static question set. No mechanism for probing deeper into any individual answer.
잘하는 점
- Easy drag-and-drop customization within Jotform's builder
- Likely integrates with Jotform's broader form ecosystem (payment, storage, notifications)
- Quick to deploy for basic post-session feedback
아쉬운 점
- Static question set with no adaptive follow-up based on a respondent's specific answer
- No automated quality scoring of open-ended responses
- No published methodology for how questions were derived or scored
SurveySparrow
Speaker Evaluation Form TemplateA conversational-style template that presents speaker evaluation questions one at a time for a more engaging feel than a traditional form. It covers similar rating dimensions but each respondent moves through a fixed script rather than a dynamically branching interview. Reporting is likely dashboard-based rather than narrative.
잘하는 점
- Conversational one-question-at-a-time UI improves completion feel vs. long forms
- Templated for events specifically, not a generic form
- Likely offers basic branching/skip logic based on prior answers
아쉬운 점
- No adaptive AI interviewer that probes the reasoning behind a specific score in real time
- No voice-based interview option
- No per-response automated quality scoring for open-ended text
Typeform
Speaker Evaluation Form TemplateA polished, conversational-style template known for Typeform's signature one-question-per-screen design and strong visual presentation. It's ready to field but relies on pre-set logic jumps rather than a true AI-driven follow-up that adapts to open-text reasoning. Reporting is largely aggregate stats rather than synthesized narrative insight.
잘하는 점
- High design polish and strong completion rates typical of Typeform forms
- Simple logic-jump branching based on multiple-choice answers
- Easy embedding and sharing across event channels
아쉬운 점
- No adaptive AI follow-up that dynamically probes the 'why' behind a recommendation score
- No voice AI interview mode or guided screen-share tasks
- No automated, per-response quality scoring of write-in answers
QuestionPro
Conference Evaluation Survey Questions + Sample Questionnaire TemplateThis is more of a guide-plus-sample-questionnaire page covering whole-conference feedback (venue, logistics, sessions) than a single speaker-focused, fielding-ready template. It's useful for question ideas but broader in scope than a per-session speaker evaluation, and requires manual setup before it's actually deployable. No adaptive interviewing is mentioned or implied.
잘하는 점
- Broad coverage of overall conference logistics and satisfaction, not just speaker performance
- Likely offers many sample question variations to choose from
- Backed by QuestionPro's established survey analytics platform
아쉬운 점
- Framed as a sample question list/guide rather than a ready-to-field speaker-specific template
- No adaptive AI follow-up interview tied to an individual speaker recommendation score
- No automated quality scoring or transparent AI-prompt methodology published
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