QuestionPunkQuestionPunk
무료로 시작하기
모든 템플릿

Library Book Donation Experience Survey

Captures why people donate books to the library, how smooth the drop-off process felt, and what would make them donate again — with an AI follow-up that digs into the real story behind their rating instead of just the number. Built for library staff and Friends-of-the-Library groups managing donation programs.

이 템플릿 사용하기템플릿 더 둘러보기

샘플 질문

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

질문 13개 · 약 7분
Q01
메시지

Thanks so much for donating books to us! Your responses are completely confidential and anonymized. We'd love a few minutes of your time to learn how the donation experience went — it helps us make it easier for the next person. About 7 minutes.

Q02
객관식필수

What motivated you to donate your books to the library?

  • Downsizing or moving
  • Decluttering / spring cleaning
  • Books belonged to a family member who passed away or moved out
  • Wanted the books to be read by others instead of thrown away
  • Supporting the library financially (book sale proceeds)
  • Tax deduction
  • Other
Q03
객관식

Which best describes most of the books you donated?

  • Fiction
  • Nonfiction
  • Children's or young adult books
  • Textbooks or reference books
  • A mix of several types
Q04
의견 척도필수

Overall, how easy was it to donate your books, from finding out where to bring them to actually dropping them off?

척도: 1 – 7
최소:Very difficult최대:Very easy
Q05
매트릭스필수

Please rate each part of your donation experience.

4개 행 × 5개 열
  • Convenience of the drop-off location
  • Clarity of the instructions (what/how much you could donate)
  • Friendliness or helpfulness of staff or volunteers
  • Wait time or how quickly you were helped
열: Poor · Below average · Average · Good · Excellent
Q06
평점 척도필수

How satisfied were you with your donation experience overall?

범위: 1 – 5
최소:Very dissatisfied최대:Very satisfied
Q07
AI 인터뷰

Reconstruct exactly what happened during this person's donation visit or drop-off, anchoring on the rating they just gave: what did they expect going in, what actually occurred at the location (or with any mail/pickup process), and where — if anywhere — did friction or confusion show up? If they mentioned a specific motivation like a family member's books or downsizing, probe how that emotional context shaped what they wanted to happen to those books. If their satisfaction rating was low, get the specific moment that went wrong and what would have fixed it.

Q08
객관식

Did you receive any acknowledgment for your donation (receipt, thank-you note, tax donation letter)?

  • Yes, and it was exactly what I needed
  • Yes, but I wanted more (e.g., a detailed itemized receipt)
  • No, and I wished I had received one
  • No, and I didn't need one
Q09
의견 척도필수

How likely are you to donate books to this library again in the future?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q10
단문형

Is there anything that would have made your donation experience better?

Q11
객관식

About how often do you visit this library in person, for any reason?

  • Weekly or more
  • A few times a month
  • A few times a year
  • This was my first visit in a long time
  • 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 your generosity and your time! Your feedback goes directly to library staff working to make book donation smoother for everyone.

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 an adaptive AI follow-up interview that reconstructs exactly what happened during the donor's drop-off visit instead of stopping at a rating
  • Combines quantitative measures (opinion scale, matrix, rating) with open-ended probing so library staff get both trend data and real stories
  • Asks about motivation, book condition, acknowledgment received, and repeat-visit likelihood — giving Friends-of-the-Library groups actionable detail on the full donation journey
  • Ends with a short-answer catch-all and warm chat-based framing, making the experience feel conversational rather than like a static form

SurveySparrow

Library Book Donation Form Template

This is a directly comparable static template aimed at capturing book donation details for libraries. It covers basic donor and book information but is a fielding-ready form rather than a survey designed to explore the 'why' behind a rating. No mention of adaptive follow-up questioning.

잘하는 점

  • Purpose-built for library book donations, so questions are domain-relevant out of the box
  • Part of a broader survey/form platform with conversational-style UI options
  • Likely easy to customize branding and fields for a library's own donation program

아쉬운 점

  • Static question set with no adaptive AI follow-up to probe deeper into a donor's actual experience
  • No indication of automated per-response quality scoring
  • No transparent, inspectable AI prompt methodology since there's no AI interview component

Jotform

Book Donation Form Template

A general-purpose book donation form template, likely used by libraries, schools, or charities to log donated books and contact info. It's a straightforward data-collection form rather than an experience survey, and it doesn't appear designed to gauge donor satisfaction or process friction.

잘하는 점

  • Flexible, widely-used form builder with drag-and-drop customization
  • Good for logging donor details and book quantities/conditions
  • Broad integration ecosystem (payment, storage, notifications) typical of Jotform templates

아쉬운 점

  • No adaptive AI interview to dig into why a donor rated their experience a certain way
  • Static form structure, so it can't branch or ask real-time clarifying follow-ups
  • No built-in automated quality scoring of open-ended responses

설문을 공개할 준비가 되셨나요?

이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.

Use this template무료로 시작하기