Online Retailer Shopping Experience Evaluation Survey
Measures how customers rate an online retailer on price, selection, site experience, shipping, and service, plus what drives loyalty versus defection to a competitor. An AI follow-up interview reconstructs the specifics of a recent order to explain the ratings instead of leaving them as abstract scores.
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 6 months, how often have you made a purchase from this retailer?
- This was my first purchase
- 1-2 times
- 3-5 times
- 6 or more times
How did you make your most recent purchase?
- Website on a computer
- Mobile website
- Mobile app
- In-store, but ordered online for pickup
- Phone or chat with a representative
Overall, how satisfied were you with your most recent order?
How would you rate this retailer on each of the following?
- Price competitiveness
- Product selection and variety
- Website or app ease of use
- Shipping speed
- Return or exchange process
- ほか1件
When deciding where to shop online, which of these factors matter most and least to you?
- Price
- Shipping speed and cost
- Product selection and variety
- Return and exchange policy
- Website or app ease of use
- Customer reviews and ratings
- Customer service quality
- Loyalty or rewards program
How likely are you to recommend this retailer to a friend or colleague?
Reconstruct the respondent's most recent order in concrete detail — what they bought, what went right or wrong at each step (browsing, checkout, shipping, delivery, returns), and how that experience shaped their satisfaction and recommendation scores. If they gave a low score, pin down the single moment that most hurt the experience and what specifically would need to change to raise it. If they gave a high score, probe whether that's typical or a standout exception.
Thinking about your next purchase of this type, what's most likely?
- Definitely will keep shopping here
- Probably will keep shopping here
- Not sure — might compare with (Replace with competitor A)
- Probably will switch to a competitor
- Definitely will switch to a competitor
What's the one thing this retailer could do to improve your experience?
What is your age range?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
- Prefer not to say
What is your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
What is your annual household income?
- Under $25,000
- $25,000-$49,999
- $50,000-$74,999
- $75,000-$99,999
- $100,000-$149,999
- $150,000 or more
- Prefer not to say
That's everything — thank you for the detailed feedback! Your responses will feed directly into a report the retailer's team uses to fix friction points and improve the shopping experience.
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
- Goes beyond satisfaction and NPS scores by using an AI follow-up interview to reconstruct the specifics of the respondent's most recent order — what they bought, how the process went, and why they rated it the way they did.
- Combines standard quantitative measures (purchase frequency, channel used, satisfaction, a ratings matrix across price/selection/site/shipping/service, and a MaxDiff on shopping priorities) with open-ended context that explains the numbers instead of leaving them abstract.
- Captures forward-looking loyalty signals (likelihood to repurchase, likelihood to recommend) alongside a direct improvement question, giving both a diagnosis and a lever for action.
- Closes with demographic questions (age, gender, income) for segmentation, framed by transparent chat messages that set expectations at the start and close of the survey.
QuestionPro
Online Retailer Evaluation Survey TemplateA fielding-ready template covering standard retailer evaluation metrics like pricing, selection, and service. It's a conventional static survey builder template rather than an interview-style tool, so all questions are fixed in advance. Good for quick deployment but doesn't adapt based on individual responses.
優れている点
- Ready-to-field template with established survey-platform infrastructure
- Likely covers core retailer evaluation dimensions (price, selection, service)
- Backed by a mature survey platform with reporting tools
物足りない点
- No adaptive AI follow-up to probe into a specific recent order — ratings stay abstract
- No per-response quality scoring
- No published methodology or transparent prompt logic
Jotform
Online Shopping Evaluation Form TemplateThis is a form-builder template, closer to a customizable data-collection form than a research-grade survey instrument. It's easy to edit and deploy but is built for simple field capture, not structured behavioral or attitudinal research. No interview or conversational follow-up capability is present.
優れている点
- Highly customizable drag-and-drop form fields
- Easy to embed or share as a standalone form
- Simple setup for basic feedback collection
物足りない点
- Static form fields only — no adaptive follow-up questioning
- No automated quality scoring of responses
- No mechanism to reconstruct order-level detail behind a rating
SurveyMonkey
Online Shopping Survey: Questions & TemplatePresented partly as a question bank/guide alongside a template, focused on shopping attitudes broadly rather than a single retailer's performance specifically. Useful as a starting question list, but it is a static, pre-set survey rather than a dynamic interview experience.
優れている点
- Established survey platform with broad question-bank guidance
- Covers general online shopping attitudes and behavior
- Backed by strong reporting and analytics tooling
物足りない点
- No adaptive AI interview to dig into a specific recent order
- No voice-based or guided-task response options
- No transparent prompt-level methodology published
SurveySparrow
Online Shopping Survey TemplateA conversational-style survey template that presents questions in a chat-like UI, which improves completion experience over plain forms. However, the conversational format is scripted rather than adaptive — it doesn't generate follow-up questions based on what a respondent actually says.
優れている点
- Conversational chat-style UI for a friendlier respondent experience
- Ready-made template for online shopping feedback
- Mobile-friendly presentation
物足りない点
- Conversational UI is not the same as adaptive AI follow-up questioning — flow is pre-scripted
- No automated per-response quality scoring
- No reconstruction of order-level specifics behind satisfaction scores
よくあるご質問
「Online Retailer Shopping Experience Evaluation 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14問含まれており、最初の設問は次のとおりです:「Thanks for sharing your feedback on your recent shopping experience! This will take about 8 minutes and helps us underst…」・「In the last 6 months, how often have you made a purchase from this retailer?」・「How did you make your most recent purchase?」。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、14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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