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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
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
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- 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.
What it does well
- 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
Where it falls short
- 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
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
Related templates
More studies from the same category.
E-Signature Workflow UX & Trust Assessment
Evaluates clarity, trust, friction points, and completion outcomes across electronic signature workflows. Designed for UX researchers and product teams seeking to identify and prioritize improvements in their signing experience.
View templateeDiscovery Platform Usability & Workflow Assessment
Evaluates e-discovery software usability, workflow pain points, and feature priorities across the EDRM lifecycle. Designed for legal professionals, litigation support teams, and legal operations who use e-discovery platforms on active matters.
View templateData Access Request (DSAR) Experience & Expectations Survey
Measures consumer experiences with data subject access requests and expectations around response timelines, suitable for organizations assessing GDPR/CCPA compliance perceptions and identifying friction points in the DSAR process.
View templateData Retention Policy Comprehension & Usability Survey
Measures how well users understand your data retention policy, evaluates the discoverability and usability of retention-related controls, and identifies preferred communication formats to inform UX and compliance improvements.
View templateAccount Deletion & Data Erasure UX Audit (GDPR/CCPA)
Evaluates the findability, clarity, effort, and trustworthiness of account deletion and data erasure flows. Designed for UX researchers and compliance teams auditing consumer-facing digital services against GDPR/CCPA standards.
View templateCookie Consent Banner Fatigue & Control Preferences
Measures user fatigue with GDPR cookie consent banners and preferences for privacy control interfaces. Designed for UX researchers and compliance teams seeking to improve consent experiences based on real browsing behavior.
View template