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Online Bookstore Customer Experience Survey

Tracks how readers discover, buy, and receive books from your online store — covering selection, pricing, delivery, and format preferences — with an AI follow-up that digs into the story behind their most recent order and their recommendation score. Built for bookstore teams optimizing catalog, fulfillment, and retention.

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Online Bookstore Customer Experience Survey

Hi! Thanks for shopping with us. We'd love to hear about your recent experience buying books from us — it takes about 5 minutes and helps us stock, price, and ship things you'll actually want. Your responses are completely confidential and anonymized.

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Sample questions

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

10 questions · ~7 min
Message

Hi! Thanks for shopping with us. We'd love to hear about your recent experience buying books from us — it takes about 5 minutes and helps us stock, price, and ship things you'll actually want. Your responses are completely confidential and anonymized.

Q01
Multiple ChoiceRequired

In the last 3 months, how many books have you purchased from us?

  • None
  • 1-2
  • 3-5
  • 6-10
  • More than 10
Q02
Multiple Choice

What was your most recent purchase mainly for?

  • My own reading
  • A gift for someone else
  • A book club or class
  • Research or work
  • Collecting (rare/special editions)
  • Other
Q03
MatrixRequired

Thinking about your recent orders, how would you rate each of the following?

6 rows × 5 columns
  • Book selection and variety
  • Pricing
  • Website or app ease of use
  • Delivery speed
  • Condition of books on arrival
  • +1 more
Columns: Poor · Fair · Good · Very good · Excellent
Q04
Opinion ScaleRequired

How likely are you to recommend us to a friend or fellow reader?

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q05
AI Interview

Anchor on the respondent's recommendation score and their most recent order: reconstruct what they ordered, how discovery/checkout/delivery actually went, and what specifically drove the score. If the score is low (0-6), probe the single worst moment in that order and what would have fixed it. If high (9-10), probe what specifically earned the loyalty so it can be reinforced elsewhere.

Q06
Best–Worst Trade-off (MaxDiff)Required

Which of these improvements would make the biggest difference to your experience? Pick your most and least important each round.

  • Faster delivery
  • Lower prices
  • Wider book selection
  • Better personalized recommendations
  • Easier returns/exchanges
  • More formats (ebook, audiobook)
  • A loyalty/rewards program
  • Sturdier packaging
  • Live chat support
Pick best & worst per setBest:Most important to meWorst:Least important to me
Q07
Point Allocation

Imagine you had 100 points to spend across formats based on how you actually buy books today. How would you split them?

  • Physical/print books
  • E-books
  • Audiobooks
  • Rare or collectible editions
Allocate 100 points
Q08
Multiple Choice

What device do you most often use to browse or buy books from us?

  • Desktop or laptop computer
  • Phone browser
  • Phone app
  • Tablet
  • Other
Q09
Long Text

What's one thing we could change to make your next order better?

Q10
Multiple Choice

What is your age range?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65+
  • Prefer not to say
Message

That's everything — thank you for the detailed feedback! We'll use your answers to improve our selection, pricing, and delivery experience for readers like you.

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 AI follow-up interview that anchors specifically on the respondent's recommendation score and their most recent order, digging into the real story behind that purchase rather than stopping at rating scales
  • Combines quantitative structure (multiple choice, matrix ratings, opinion scale, max-diff, and a constant-sum format-allocation exercise) with open-ended and conversational elements for a fuller picture of buying behavior
  • Captures format preference trade-offs directly (constant-sum across formats) and device/channel usage alongside delivery and pricing perceptions, giving catalog and fulfillment teams actionable, cross-cut data
  • Opens and closes with natural chat-style messages that make the survey feel like a conversation with the store rather than a static form, which can support completion and honesty on the open-ended feedback question

QuestionPro

University Bookstore Online Survey Template

This is a static, fielding-ready template built for a university bookstore context rather than a general online bookstore retailer, so questions likely emphasize course materials and campus buyers over general trade-book customers. It's a legitimate comparable in the bookstore survey space, but its scope is narrower and audience-specific compared to a general retail bookstore experience survey.

What it does well

  • Purpose-built for a bookstore audience, so question wording and flow are likely tailored to book-buying behavior
  • Comes from an established survey platform with broad template library support and standard question types
  • Ready to deploy as-is for teams wanting a quick, no-setup bookstore survey

Where it falls short

  • No adaptive AI follow-up interview — respondents can't be probed further on their most recent order or recommendation score beyond fixed questions
  • No voice AI interview option or guided screen-share tasks for deeper qualitative insight
  • As a static form, there's no per-response quality scoring or transparent prompt methodology to review

Frequently asked questions

What questions are in the “Online Bookstore Customer Experience Survey” template?

The template includes 10 ready-to-use questions, starting with: “In the last 3 months, how many books have you purchased from us?” · “What was your most recent purchase mainly for?” · “Thinking about your recent orders, how would you rate each of the following?”. The full set is previewed above, and every question is editable.

How long does this survey take to complete?

Respondents typically finish the 10 questions in about 7 minutes.

Can I customize this template?

Yes — every question, answer option, and the ordering is editable before you launch. You can add or remove questions, or ask the AI editor to rework the survey around your research goal.

Is this template free to use?

Yes. Open it in the editor and start customizing right away — no account required to try it, and the free plan covers launching your survey.

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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