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모든 템플릿

Book Club Experience and Book Selection Feedback

Measures how members feel about meeting logistics, book picks, and discussion quality in a recurring book club — with an AI follow-up that digs into the 'why' behind their most recent discussion rating so organizers know what to fix versus what to keep. Built for book club leads, library programs, and reading communities checking in every few months.

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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 being part of the book club! We'd love your honest take on how meetings, book picks, and discussions have been going lately. Your responses are completely confidential and anonymized. This will take about 4-5 minutes. (Template note: swap in your club's name here before sending.)

Q02
객관식필수

In the last 6 months, how many book club meetings have you attended?

  • None
  • 1-2
  • 3-4
  • 5 or more
Q03
매트릭스필수

How would you rate each part of your book club experience recently?

5개 행 × 5개 열
  • Book selection process
  • Quality of discussion
  • Meeting length and pacing
  • Meeting venue or platform
  • Time for socializing
열: Poor · Fair · Good · Very good · Excellent
Q04
평점 척도필수

How would you rate the most recent book your club discussed?

범위: 1 – 5
최소:Didn't enjoy it at all최대:Loved it
Q05
의견 척도필수

How likely are you to recommend this book club to a friend with similar reading interests?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q06
최선·최악 선택형(MaxDiff)

Which of these changes would most improve your book club experience?

  • More diverse genres and authors
  • Shorter or more manageable book lengths
  • A more structured discussion guide
  • More flexible meeting times
  • A better meeting venue or virtual platform
  • More time for socializing before or after discussion
  • Occasional guest speakers or author Q&As
세트별 최선·최악 선택최선:Would improve my experience the most최악:Would improve my experience the least
Q07
AI 인터뷰

Explore what specifically shaped the respondent's rating of the most recent book discussion — ask what worked or fell flat in the conversation, whether the group stayed on topic or wandered, and how well the facilitator (if any) drew out quieter members. If their rating of the book itself differs sharply from their rating of the discussion quality, probe that gap directly and ask what would have made the weaker one better.

Q08
객관식

Which meeting format works best for you going forward?

  • In-person only
  • Virtual only
  • Hybrid (mix of both)
  • No strong preference
Q09
장문형

Is there anything else you'd like the organizers to know about how the club could better fit your reading life?

Q10
객관식

How long have you been a member of this book club?

  • Less than 3 months
  • 3-12 months
  • 1-3 years
  • More than 3 years
  • Prefer not to say
Q11
객관식

What is your age range?

  • Under 25
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q12
메시지

Thanks so much for sharing your thoughts! Organizers will use these answers to pick better books, tighten up meetings, and keep the discussions you enjoy most.

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 matrix question rating multiple facets of the book club experience (meetings, picks, discussion) alongside a dedicated rating question for the most recent book
  • Pairs that recent-book rating with an AI follow-up interview that specifically probes the 'why' behind the score, so organizers see what to fix versus keep, not just a number
  • Uses a max-diff question to rank competing improvement ideas (format, pacing, book selection, etc.) instead of forcing open-ended guesses
  • Closes with an open long-text question inviting anything else members want organizers to know, plus opening/closing chat messages that set context and thank participants

SurveySparrow

Free Book Club Feedback Survey Template | With Questions

This is a directly comparable static feedback template for book clubs, covering similar ground like meeting satisfaction and book selection. It's a fixed question set you can customize and field, not an adaptive interview, so every respondent answers the identical list regardless of their previous answers. Good for a quick pulse check but not designed to dig into individual reasoning.

잘하는 점

  • Purpose-built for the same book-club feedback use case
  • Simple, ready-to-use question list that's easy to launch quickly
  • Familiar survey-builder ecosystem for distribution and basic reporting

아쉬운 점

  • No adaptive AI follow-up — cannot ask a respondent why they gave a particular rating
  • No voice interview or screen-share task option for richer qualitative input
  • No published methodology on how questions were validated or scored

Jotform

Book Club Membership Form Template

This is a membership/sign-up form rather than an experience-feedback survey, so it's only partially comparable — it's built to collect member details, not to measure satisfaction with meetings, book picks, or discussion quality. Useful for onboarding new members but not a substitute for a feedback instrument like QuestionPunk's template. It's a static form with no scoring or follow-up logic.

잘하는 점

  • Easy drag-and-drop form customization typical of Jotform's builder
  • Good fit for capturing member contact info and preferences at signup
  • Wide template library for adjacent community-management needs

아쉬운 점

  • Not designed to measure recurring feedback on meetings or book quality at all
  • No adaptive follow-up questioning of any kind
  • No automated quality scoring or auto-generated reporting on responses

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