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모든 템플릿
Industry-Specific

Reader Book Review & Reaction Survey

Captures a reader's honest reaction to a specific book — pacing, characters, writing quality, and overall satisfaction — plus an AI follow-up that digs into the moment or decision that actually shaped their rating. Built for publishers, authors, and book clubs who want more than a star rating.

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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 sharing your thoughts on this book! Your responses are completely confidential and anonymized. This should take about 4-5 minutes, and your honest reactions — good, bad, or mixed — are exactly what we're looking for.

Q02
객관식필수

How did you read or listen to the book?

  • Physical copy
  • E-book
  • Audiobook
  • A mix of formats
Q03
객관식필수

Did you finish the book?

  • Yes, finished it completely
  • Read most of it but skipped or skimmed parts
  • Stopped partway through and didn't go back
  • Haven't finished yet but still reading
Q04
평점 척도필수

Overall, how would you rate this book?

범위: 1 – 5
최소:Did not enjoy it최대:Loved it
Q05
매트릭스필수

How much do you agree with each statement about the book?

5개 행 × 5개 열
  • The pacing kept me engaged
  • The characters felt real and well-developed
  • The writing style was enjoyable to read
  • The plot held together and made sense
  • The ending was satisfying
열: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q06
순위 매기기

Rank these elements by how much they mattered to your overall opinion of the book, from most to least important.

  1. Plot/story
  2. Characters
  3. Writing style
  4. Pacing
  5. Themes/ideas
  6. Ending
드래그하여 순위 지정
Q07
AI 인터뷰

Probe the specific moment, scene, or decision in the book that most shaped the respondent's rating — ask them to describe it concretely rather than in general terms. If they gave a high rating, find out what almost lost them; if they gave a low or mixed rating, find out what would have needed to change to win them over. If they said they didn't finish, focus on exactly where and why they stopped.

Q08
의견 척도필수

How likely are you to recommend this book to a friend?

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

Would you read another book by this author?

  • Yes, definitely
  • Maybe, depends on the book
  • Probably not
  • No
Q10
장문형

Is there a specific quote, scene, or line that has stuck with you since reading? Feel free to skip if nothing comes to mind.

Q11
객관식

About how many books do you typically read (or listen to) in a year?

  • 1-3
  • 4-10
  • 11-25
  • More than 25
  • Prefer not to say
Q12
객관식

Which age range do you fall into?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q13
메시지

That's everything — thank you for the thoughtful feedback! Your responses will be compiled into a reader reaction report to help shape future editions, marketing, and recommendations.

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 rating, matrix, and ranking questions to capture pacing, characters, and writing quality in structured detail, not just a single star rating
  • Pairs those closed questions with an AI follow-up interview that adaptively probes the specific scene or decision that shaped the reader's rating
  • Adds a long-text quote/scene recall question and recommendation/opinion-scale questions so publishers get both qualitative color and quantifiable sentiment
  • Collects reading habit and demographic context (format, frequency, age range) so publishers and authors can segment reactions by reader type

Jotform

Book Review Form Template

A static, fieldable form for collecting book reviews with standard fields like rating and comments. It's a straightforward drag-and-drop form builder template rather than an interview-style survey, so it captures a review but not a deeper narrative of what drove the reader's opinion. Good for quick review collection, not diagnostic depth.

잘하는 점

  • Ready-to-use, customizable form builder with easy embedding
  • Simple field types suited for fast review capture
  • Part of a broad form template library, so easy to adapt fields

아쉬운 점

  • No adaptive AI follow-up to probe why a reader felt the way they did
  • No automated quality scoring of open-ended responses
  • No voice-based interview option

Typeform

Book Review Form Template

A conversational-style static form for book reviews, using Typeform's one-question-at-a-time flow to make review-giving feel more engaging. It likely covers rating and basic reaction fields but the question flow is fixed rather than adaptive to each reader's answers. Useful for a pleasant respondent experience, not for probing individual moments that shaped a rating.

잘하는 점

  • Polished, mobile-friendly conversational UI that can improve completion rates
  • Easy to customize branding and question order
  • Logic jumps possible for basic branching

아쉬운 점

  • No true adaptive AI interviewing that generates follow-up questions from the specific answer given
  • No automated per-response quality scoring
  • No transparent, auditable AI prompt methodology

SurveyMonkey

Product Review Template: Turn Feedback Into Product Wins

This is a generic product-review template, not book-specific, and reads partly as a marketing/guide page framing SurveyMonkey's review use case rather than a book-tailored fielding-ready survey. It could be manually adapted for books but wasn't built for pacing, characters, or literary reaction. Best treated as a general review-collection reference, not a direct book-review competitor.

잘하는 점

  • Backed by SurveyMonkey's established survey distribution and analytics tools
  • Template is easily customizable for various product types
  • Established survey logic and reporting dashboard

아쉬운 점

  • Not tailored to books at all (no pacing/character/plot-specific questions)
  • No adaptive AI follow-up interview to dig into the reasoning behind a rating
  • No voice AI interview option or automated per-response quality scoring

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