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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.

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샘플 질문

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질문 12개 · 약 7분
Q01
메시지

Thanks for taking a few minutes to tell us about your experience with self-service checkout! We want to understand what works and what trips people up. Your responses are completely confidential and anonymized. This should take about 4-5 minutes.

Q02
객관식필수

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
객관식필수

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
매트릭스필수

Rate how easy or difficult each part of the self-checkout process is for you.

6개 행 × 5개 열
  • Scanning or weighing items
  • Entering coupons or loyalty rewards
  • Bagging items in the right slot
  • Choosing and completing payment
  • Understanding error messages
  • 외 1개
열: Very difficult · Difficult · Neutral · Easy · Very easy
Q05
의견 척도필수

Overall, how easy is it to use our self-service checkout compared to a staffed lane?

척도: 1 – 7
최소:Much harder than a staffed lane최대:Much easier than a staffed lane
Q06
객관식필수

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 인터뷰

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
최선·최악 선택형(MaxDiff)필수

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
세트별 최선·최악 선택최선:Biggest improvement최악:Smallest improvement
Q09
평점 척도

How likely are you to choose self-service checkout again on your next visit?

범위: 1 – 5
최소:Very unlikely최대:Very likely
Q10
객관식

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
객관식

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
메시지

That's everything — thank you! Your feedback goes directly into improving the checkout flow and fixing the errors that cause the most friction.

포함된 기능

  • AI 후속 질문

    정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.

  • 주의력 확인 장치

    성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.

  • AI가 작성한 문안

    문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.

  • 자동 리포트

    응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

  • 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 Template

This 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.

잘하는 점

  • 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

아쉬운 점

  • 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 Template

This 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.

잘하는 점

  • 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

아쉬운 점

  • 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 Template

This 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.

잘하는 점

  • 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

아쉬운 점

  • 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

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