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.
設問の例
テンプレートの内容をプレビューできます。すべての設問は公開前に自由に編集できます。
In the last 3 months, how many books have you purchased from (Replace with store name)?
- None
- 1-2
- 3-5
- 6-10
- More than 10
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
Thinking about your recent orders, how would you rate each of the following?
- Book selection and variety
- Pricing
- Website or app ease of use
- Delivery speed
- Condition of books on arrival
- ほか1件
How likely are you to recommend (Replace with store name) to a friend or fellow reader?
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.
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
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
What device do you most often use to browse or buy books from us?
- Desktop or laptop computer
- Phone browser
- Phone app
- Tablet
- Other
What's one thing we could change to make your next order better?
What is your age range?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
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.
含まれる機能
AIによる深掘り
自由回答に合わせてAIが追加で質問し、固定のフォームでは拾えない具体的な内容を引き出します。
注意確認設問
急いだ回答や質の低い回答者を除外する仕組みを標準で備えています。
AIが作成する設問文
文言、設問の順序、条件分岐をAIが調査の目的に合わせて作成します。
自動レポート
回答が集まると、テーマ、引用、わかりやすい要約が自動で作成されます。
他ツールとの比較
ほかのアンケートツールで最も近いテンプレートを調べました。それぞれの優れている点と、このテンプレートがさらに踏み込んでいる点をまとめています。
このテンプレートを選ぶ理由
- 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 TemplateThis 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.
優れている点
- 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
物足りない点
- 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
よくあるご質問
「Online Bookstore Customer Experience Survey」テンプレートにはどのような設問が含まれていますか?
すぐに使える設問が12問含まれており、最初の設問は次のとおりです:「Hi! Thanks for shopping with us. We'd love to hear about your recent experience buying books from (Replace with store na…」・「In the last 3 months, how many books have you purchased from (Replace with store name)?」・「What was your most recent purchase mainly for?」。すべての設問は上でプレビューでき、自由に編集できます。
このアンケートの回答にはどのくらい時間がかかりますか?
回答者は通常、12問を約7分で回答し終えます。
テンプレートは編集できますか?
はい。公開前であれば、すべての設問、選択肢、順序を編集できます。設問の追加や削除のほか、調査の目的に合わせた作り直しをAIエディターに依頼することもできます。
このテンプレートは無料で使えますか?
はい。エディターで開けば、すぐに編集を始められます。お試しにアカウントは不要で、無料プランでアンケートを公開できます。
公開の準備はできましたか?
このテンプレートをエディターで開いてみてください。最初の回答者が目にする前に、すべてを自由に変更できます。
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