Checkout Fraud-Prevention vs. Conversion UX Survey
Measures how ecommerce customers perceive and respond to fraud-prevention steps during checkout, identifying the trade-offs between security friction and conversion to guide UX optimization.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
Have you completed an online purchase from [Retailer Name] in the past 90 days?
- Yes
- No
- Not sure
Which device do you use most often for online shopping?
- Mobile app
- Mobile web browser
- Desktop or laptop browser
- Tablet
- Other
During your most recent checkout with us, which verification or security steps did you encounter? Select all that apply.
- One-time code by SMS
- One-time code by email
- Bank or 3D Secure challenge (e.g., bank app approval)
- Re-entering address or postal code
- CAPTCHA or bot check
- Biometric confirmation (face or fingerprint)
- Had to log in
- Had to reset password
- None of the above
Rank the following from most to least important to you during online checkout.
- Strong protection against fraud
- Speed (finishing quickly)
- Ease of use (few steps)
- Control over how I verify my identity
- Clear explanations of why each step is needed
In the past 6 months, has any online retailer mistakenly declined or blocked a valid payment of yours?
- Yes
- No
- Not sure
We'd like to understand your checkout experience in more depth. An AI moderator will ask you a couple of follow-up questions based on your previous answers.
Based on your responses in this survey, please share any additional thoughts or suggestions about the online checkout experience.
What is your age group?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65 or older
- Prefer not to say
Thank you for completing this survey. Your feedback will help us improve the online checkout experience. If you have any questions, please contact [research team email].
How disruptive were the verification or security steps to completing your order?
What is the longest amount of extra time you would accept for security checks during checkout?
- Less than 10 seconds
- 10–30 seconds
- 31–60 seconds
- 1–2 minutes
- More than 2 minutes
- I would not accept any extra time
What did you do after the mistaken decline or hold? Select all that apply.
- Retried the same card
- Used a different card
- Used a digital wallet (e.g., PayPal, Apple Pay, Google Pay)
- Waited and tried again later
- Contacted customer support
- Abandoned the purchase entirely
- Bought from a different retailer
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer not to say
To what extent did these verification steps increase your confidence that your payment was secure?
Rank the following features from most to least helpful for making checkout feel secure without slowing you down.
- Auto-fill one-time codes when possible
- Briefly explain why verification is needed
- Offer choice of SMS, email, or app verification
- Skip extra checks on trusted devices
- Use biometrics (face or fingerprint) when available
Have you abandoned an online shopping cart because of verification or security steps during checkout?
- Yes, in the last 3 months
- Yes, 3–12 months ago
- No
- Not sure
In which region do you live?
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East & Africa
- Prefer not to say
For a typical online purchase, how acceptable is it to complete an extra verification step (e.g., one-time code, biometric scan, or CAPTCHA) before your payment is processed?
Approximately how many online purchases do you make in a typical month?
- 0
- 1–2
- 3–5
- 6–10
- 11–20
- More than 20
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
- Directly measures the fraud-prevention vs. conversion trade-off, including a disruption rating and confidence-in-security rating on the same 0-100 verification steps
- Uses ranking questions to force trade-off prioritization (checkout priorities, and which anti-fraud features feel most reassuring vs. most annoying)
- Captures real abandonment and false-decline behavior with follow-up multi-select on what customers did after a mistaken block or hold
- Includes an AI follow-up interview to probe open-ended reasoning behind friction tolerance, plus an open-text reflection question and standard demographic segmentation
QuestionPro
Usability Survey For Self-Service Checkouts + Sample Questionnaire TemplateThis is a fielding-ready questionnaire template, but it is built around self-service checkout usability (e.g., kiosk/station flow and ease of use) rather than ecommerce fraud-prevention friction or checkout conversion trade-offs. It's a partial topical overlap on 'checkout' and usability, not a direct match on fraud vs. conversion. Useful as a general checkout-usability reference rather than a security/conversion trade-off study.
잘하는 점
- Provides a ready-made sample questionnaire specifically for checkout usability
- Focused scope makes it quick to adapt for basic checkout flow feedback
- Established survey template library with guidance on structuring usability questions
아쉬운 점
- No mention of fraud-prevention, security-verification, or false-decline questions relevant to this topic
- Static question set with no adaptive AI follow-up probing into why friction was or wasn't tolerated
- No disclosed methodology for scoring response quality or automated reporting
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