Q01
メッセージ
すべてのテンプレートProduct & UX
Self-Service Checkout Usability & Friction Survey
Measures how easily shoppers scan, pay, and recover from errors at self-service checkout kiosks, and prioritizes which fixes matter most. An AI follow-up interview reconstructs exactly what happened during a recent frustrating attempt instead of relying on vague complaints. Built for retail UX and store operations teams.
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。
全12問・約7分
Q02
選択式必須
In the last 30 days, how often have you used a self-service checkout (instead of a staffed lane)?
- Not at all
- 1-2 times
- 3-5 times
- 6-10 times
- More than 10 times
Q03
選択式必須
Thinking about the last time you used one, were you able to complete your purchase without asking a staff member for help?
- Yes, no help needed
- Yes, but only after a staff member intervened
- No, I gave up or switched to a staffed lane
- I don't remember
Q04
マトリクス必須
Rate how easy or difficult each part of the self-checkout process is for you.
6行 × 5列
- Scanning or weighing items
- Entering coupons or loyalty rewards
- Bagging items in the right slot
- Choosing and completing payment
- Understanding error messages
- ほか1件
列: Very difficult · Difficult · Neutral · Easy · Very easy
Q05
オピニオンスケール必須
Overall, how easy is it to use our self-service checkout compared to a staffed lane?
スケール: 1 – 7
最小:Much harder than a staffed lane最大:Much easier than a staffed lane
Q06
選択式必須
During your last self-checkout attempt, did you encounter any error alerts (e.g., 'unexpected item in bagging area', item lookup issues, payment errors)?
- No errors
- One error
- Multiple errors
- I don't recall
Q07
AIインタビュー
Reconstruct the respondent's most recent self-checkout experience step by step: what they scanned or paid for, exactly where friction or an error occurred, what the screen or system told them, and how they resolved it (staff help, gave up, figured it out alone). If they said they gave up or needed staff intervention, dig into the specific trigger and whether it has happened before. If they reported no issues, ask what makes the process feel smooth for them so we can protect that.
Q08
ベスト・ワースト選択（MaxDiff）必須
Which of these improvements would make the biggest difference to your self-checkout experience? Choose the one that matters most and the one that matters least each round.
- Faster item scanning/recognition
- Clearer on-screen instructions
- Fewer 'unexpected item' bagging alerts
- More payment options accepted
- Faster access to staff when needed
- Larger, more readable screens
- Shorter lines/more machines available
- Simpler coupon and loyalty entry
各セットで最も良いもの・最も悪いものを選択最も良い:Biggest improvement最も悪い:Smallest improvement
Q09
評価スケール
How likely are you to choose self-service checkout again on your next visit?
範囲: 1 – 5
最小:Very unlikely最大:Very likely
Q10
選択式
About how often do you shop at this store or website?
- First time here
- A few times a year
- Monthly
- Weekly
- Multiple times a week
- Prefer not to say
Q11
選択式
Which age range do you fall into?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
Q12
メッセージ
That's everything — thank you! Your feedback goes directly into improving the checkout flow and fixing the errors that cause the most friction.
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 reconstructs the respondent's most recent self-checkout attempt step by step, rather than relying on vague complaints
- Combines a matrix rating of each checkout stage (scan, pay, error recovery) with a max-diff prioritization question so teams know which fixes matter most, not just what's broken
- Captures error-alert incidence and completion success directly, giving store ops teams concrete friction points instead of only satisfaction scores
- Closes with a rating on likelihood to reuse self-checkout, tying the experience directly to a behavioral outcome retailers care about
QuestionPro
Usability Survey For Self-Service Checkouts + Sample Questionnaire TemplateThis is a directly comparable template purpose-built for self-service checkout usability, with a ready-to-use sample questionnaire. It relies on static multiple-choice and rating questions to gauge friction, without any mechanism to dig into what actually happened during a specific bad experience. Good starting point for teams that just need a standard questionnaire rather than deeper diagnostic detail.
優れている点
- Purpose-built specifically for self-service checkout usability, matching the exact use case
- Provided as a ready sample questionnaire that can be used or adapted quickly
- Backed by an established survey platform with broad question-type support
物足りない点
- No adaptive AI follow-up interview to reconstruct a specific recent checkout attempt in detail
- No automated per-response quality scoring to flag low-effort or vague answers
- No transparent, publishable prompt methodology for how deeper questions are asked
SurveySparrow
Website Usability Survey TemplateThis template covers general website usability, not self-service checkout kiosks specifically, so teams would need to substantially rewrite it for retail checkout friction. It offers a conversational survey format but is a static template rather than one with adaptive questioning. Useful only as a generic usability starting point, not a checkout-specific fielding-ready survey.
優れている点
- Conversational, chat-style survey format that can feel more approachable than a form
- Applicable broadly across websites and digital products for general usability feedback
- Simple to launch quickly as a generic usability check
物足りない点
- Not designed for physical self-checkout kiosks or in-store error recovery scenarios
- No adaptive AI follow-up to reconstruct a specific frustrating checkout attempt
- No automated quality scoring or transparent prompt methodology published
Typeform
System Usability Survey TemplateThis is the standard, generic System Usability Scale (SUS) template, a static fixed-question instrument not tailored to retail checkout kiosks or in-store error recovery. It's well suited for general product usability benchmarking but would need heavy customization to capture checkout-specific friction like scanning or payment errors. No adaptive questioning or interview component is present.
優れている点
- Based on the widely recognized SUS methodology for benchmarking usability scores
- Clean, simple form format that's fast for respondents to complete
- Easy to deploy across many different product types
物足りない点
- Generic SUS questions aren't tailored to self-checkout-specific steps like scanning, paying, or error recovery
- No adaptive AI follow-up interview to probe what happened during a specific frustrating attempt
- No automated per-response quality scoring or transparent prompt methodology
よくあるご質問
「Self-Service Checkout Usability & Friction 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：「Thanks for taking a few minutes to tell us about your experience with self-service checkout! We want to understand what…」・「In the last 30 days, how often have you used a self-service checkout (instead of a staffed lane)?」・「Thinking about the last time you used one, were you able to complete your purchase without asking a staff member for hel…」。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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