Q01
Message
All templates
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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
13 questions · ~7 min
Q02
Multiple ChoiceRequired
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
Multiple Choice
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
Opinion ScaleRequired
Overall, how easy was it to donate your books, from finding out where to bring them to actually dropping them off?
Scale: 1 – 7
Min:Very difficultMax:Very easy
Q05
MatrixRequired
Please rate each part of your donation experience.
4 rows × 5 columns
- 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
Columns: Poor · Below average · Average · Good · Excellent
Q06
Rating ScaleRequired
How satisfied were you with your donation experience overall?
Range: 1 – 5
Min:Very dissatisfiedMax:Very satisfied
Q07
AI Interview
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
Multiple Choice
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
Opinion ScaleRequired
How likely are you to donate books to this library again in the future?
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q10
Short Text
Is there anything that would have made your donation experience better?
Q11
Multiple Choice
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
Multiple Choice
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
Message
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.
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- 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 TemplateThis 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.
What it does well
- 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
Where it falls short
- 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 TemplateA 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.
What it does well
- 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
Where it falls short
- 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
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.