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Post-Event Attendee Experience Evaluation

Captures how attendees experienced your event — from content and speakers to venue and networking — and uses an AI follow-up interview to uncover the specific moment behind their satisfaction and recommendation scores. Built for event, marketing, and community teams running post-event debriefs.

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샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 12개 · 약 7분
Q01
메시지

Thanks for coming to (Replace with event name)! We'd love your honest feedback to make the next one better. Your responses are completely confidential and anonymized. This will take about 4-5 minutes.

Q02
객관식필수

How did you attend (Replace with event name)? (Template note: remove the hybrid option if your event was single-format.)

  • In-person
  • Virtual
  • Hybrid — attended parts of both
Q03
의견 척도필수

Overall, how satisfied were you with the event?

척도: 1 – 10
최소:Very dissatisfied최대:Very satisfied
Q04
매트릭스필수

How would you rate each of the following aspects of the event?

6개 행 × 5개 열
  • Session or content quality
  • Speaker or presenter quality
  • Venue and facilities
  • Networking opportunities
  • Registration and logistics
  • 외 1개
열: Poor · Fair · Good · Very good · Excellent
Q05
의견 척도필수

How likely are you to recommend this event to a colleague or peer?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q06
순위 매기기

If we could only improve a few things for next time, rank these from most to least in need of improvement.

  1. Session content and topics
  2. Speaker or presenter quality
  3. Networking time
  4. Venue or location
  5. Registration process
  6. Food and beverage
  7. Schedule pacing
드래그하여 순위 지정
Q07
AI 인터뷰

Probe the reasoning behind the respondent's satisfaction and recommendation scores. If either score was low or middling, pinpoint the specific session, moment, or logistical issue that drove it and what would have changed the score. If the scores were high, find out which single element they'd point to as the reason they'd recommend it and whether that's something the organizers can replicate or scale next time. Anchor follow-ups on whichever matrix item they rated lowest.

Q08
객관식

Do you plan to attend future editions of this event?

  • Definitely will
  • Probably will
  • Not sure yet
  • Probably won't
  • Definitely won't
Q09
장문형

What's one thing we should keep exactly the same next time, and one thing we should change?

Q10
객관식

Which best describes your role at this event?

  • Individual contributor / general attendee
  • Manager or team lead
  • Executive or director
  • Student
  • Vendor, sponsor, or exhibitor
  • Prefer not to say
Q11
객관식

How did you first hear about this event?

  • Email invitation
  • Social media
  • Colleague or friend
  • Company or organization announcement
  • Search engine
  • Prefer not to say
Q12
메시지

That's everything — thank you for the feedback! We'll use your responses, alongside everyone else's, to shape the agenda and logistics for the next event.

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 probes the specific reasoning behind each attendee's satisfaction and recommendation scores, not just the numbers themselves
  • Combines standard event evaluation metrics (satisfaction, recommendation, matrix ratings of speakers/venue/networking) with a ranking question to prioritize what to fix next time
  • Captures attendee role and discovery channel alongside open-ended 'keep vs. change' feedback for richer segmentation
  • Ends with automated reporting that synthesizes structured ratings and AI-probed qualitative context into one summary for event teams

Typeform

Post-Event Evaluation Form Template

A fielding-ready form template covering standard post-event feedback questions with Typeform's conversational one-question-at-a-time UI. Good for basic satisfaction capture but relies on fixed question sets rather than adaptive follow-up. No mention of AI-driven probing or automated quality scoring.

잘하는 점

  • Polished, conversational form-filling experience
  • Ready-to-use template structure for quick deployment
  • Established integrations ecosystem typical of Typeform

아쉬운 점

  • No adaptive AI follow-up interview to dig into the 'why' behind scores
  • No automated per-response quality scoring
  • No published prompt-level methodology for any AI features

Jotform

Create Free Event Evaluation Forms - Event Evaluation Form Templates

This is a template category/library page offering multiple static event evaluation form templates rather than a single fielding-ready survey. Useful as a starting gallery, but each template is a fixed form with no dynamic follow-up capability. Customization is drag-and-drop form building, not adaptive interviewing.

잘하는 점

  • Wide selection of pre-built event evaluation form variants
  • Drag-and-drop form builder for easy customization
  • Free tier available for basic form creation

아쉬운 점

  • Category page, not a single ready-to-field template — requires selecting and configuring a form
  • No adaptive AI interview or voice AI follow-up to explore respondent reasoning
  • No automated quality scoring of responses

QuestionPro

Event Evaluation Survey Questions + Sample Questionnaire Template

Primarily a guide-style page presenting sample event evaluation questions and question bank rather than a single deployable survey flow. Helpful for question ideas across speakers, venue, and content, but doesn't ship as a ready-to-send instrument with built-in AI follow-up. Positioned more as reference content than a survey product.

잘하는 점

  • Broad sample question bank covering many event evaluation angles
  • Established survey platform with analytics and reporting features
  • Guidance on question wording for common event feedback areas

아쉬운 점

  • Page reads as a question guide/sample template, not a ready-to-field survey flow
  • No adaptive AI-driven follow-up interview to surface the specific moment behind scores
  • No transparent, publishable AI prompt methodology

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