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Public Library Patron Experience & Usage Survey

Measures how often people use their local public library, which services they rely on, and how satisfied they are with staff, collections, hours, and digital access. An AI follow-up interview digs into the specific moment behind their satisfaction or recommendation score, surfacing what would actually get them back in the door more often — useful for library directors and city/county planning teams.

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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

12 questions · ~7 min
Q01
Message

Thanks for taking a few minutes to share your library experience! Your feedback helps shape hours, collections, and programs. Your responses are completely confidential and anonymized. This should take about 5 minutes, and there are no wrong answers.

Q02
Multiple ChoiceRequired

In the last 3 months, how often have you visited a public library branch in person?

  • Not at all
  • Once
  • 2-3 times
  • About monthly
  • Weekly or more
Q03
Multiple ChoiceRequired

Which of the following have you used at the library in the last 6 months?

  • Borrowing physical books, movies, or music
  • Borrowing e-books or digital media
  • Computers or internet access
  • Study or meeting rooms
  • Children's or youth programs
  • Adult classes or workshops
  • Reference or research help from staff
  • Community events or exhibits
Q04
MatrixRequired

How much do you agree with each statement about your local library?

5 rows × 5 columns
  • Staff are helpful and knowledgeable
  • The collection (books, media, digital resources) meets my needs
  • The facility is clean and comfortable
  • Operating hours are convenient for my schedule
  • Digital resources (e-books, apps, website) are easy to use
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
Opinion ScaleRequired

How likely are you to recommend your local library to a friend, neighbor, or coworker?

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q06
AI Interview

Probe the reasoning behind the respondent's recommendation score and their agreement ratings on staff, collection, hours, and digital resources. Anchor on a specific recent visit or interaction rather than general impressions, and ask what almost stopped them from recommending the library or, if the score was low, what would need to change for them to raise it. If they mention a specific negative experience, ask what staff or the library could have done differently in that moment.

Q07
Best–Worst Trade-off (MaxDiff)

If your library could only invest in a few of these improvements, which would matter most and least to you?

  • Extended evening or weekend hours
  • More e-book and digital media titles
  • More computers or faster internet
  • Wider variety of programs and events
  • Better parking or accessibility
  • Quieter study spaces
  • Faster hold pickup and returns
  • Improved website or mobile app
Pick best & worst per setBest:Matters mostWorst:Matters least
Q08
Multiple Choice

What was the main reason for your most recent library visit?

  • Borrow books or media
  • Use computers or internet
  • Attend a program or event
  • Study or use a meeting room
  • Get research or reference help
  • Bring children for activities
  • Other
Q09
Long Text

What's one change that would make you visit the library more often, or use it more?

Q10
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
Q11
Multiple Choice

Do you have children under 18 in your household?

  • Yes
  • No
  • Prefer not to say
Q12
Message

Thank you for sharing your library experience! Your answers, along with everyone else's, go directly into a report the library uses to plan hours, collections, and programs.

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

  • Goes beyond static rating questions with an AI follow-up interview that probes the specific moment behind a patron's recommendation and agreement scores, surfacing the 'why' instead of just the 'what'
  • Combines usage frequency, service reliance (multiple-choice), and a satisfaction matrix with a MaxDiff trade-off question to prioritize which improvements (hours, collections, digital access, staff) matter most
  • Includes an open-ended open-text question capturing concrete changes that would drive more visits, paired with demographic and household context (age range, children under 18) for segmentation
  • Delivers an auto-generated report from the responses plus the adaptive interview data, useful for library directors and city/county planning teams making budget or hours decisions

QuestionPro

Public Library Survey Questions + Sample Questionnaire Template

This is a genuinely comparable template covering library usage, satisfaction, and service questions for patron feedback. It appears to function more as a sample questionnaire/reference page with question examples rather than a ready-to-field adaptive survey. It's a reasonable starting point for teams wanting to build their own static questionnaire.

What it does well

  • Covers core library patron topics like usage frequency, services used, and satisfaction
  • Presented as a structured questionnaire template that's easy to skim and adapt
  • Backed by an established survey platform with broad question-type support

Where it falls short

  • No adaptive AI follow-up interview to probe the reasoning behind a satisfaction or recommendation score — respondents just pick an answer with no deeper 'why' captured
  • No voice AI interview option or guided screen-share tasks for richer qualitative input
  • No per-response quality scoring or transparent prompt methodology published on the page

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

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