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Customer Experience

Checkout Friction & Cart Abandonment Diagnostic

Diagnoses specific checkout drop-off points across payment processing, address entry, and form validation to identify the highest-impact fixes for reducing cart abandonment.

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

25 questions · ~11 min
Q01
Message

Welcome! We're conducting a short survey (approximately 11 minutes) about your recent checkout experience. Your responses are completely confidential and will be reported only in aggregate. There are no right or wrong answers — we're interested in your honest experience. Participation is voluntary, and you may stop at any time. By continuing, you agree to participate.

Q02
Multiple Choice

On which device did you most recently attempt to check out?

  • Mobile app
  • Mobile web browser
  • Desktop/laptop web browser
  • Tablet web browser
Q03
Multiple Choice

Which payment method(s) did you try during that checkout? (Select all that apply)

  • Credit/debit card
  • PayPal
  • Apple Pay
  • Google Pay
  • Bank transfer
  • Buy Now, Pay Later (e.g., Klarna/Affirm)
  • Gift card or store credit
  • Other (please specify)
Q04
Opinion Scale

Overall, how easy or difficult was entering your shipping/billing address?

Scale: 17
Min:Very difficultMax:Very easy
Q05
Multiple Choice

Which of the following validation or error issues did you encounter during checkout? (Select all that apply)

  • Address rejected despite being correct
  • Card number or CVV flagged as invalid
  • Promo or gift code not accepted
  • Form wouldn't submit without clear reason
  • Page timed out or froze
  • 3-D Secure / bank verification failed
  • None — no errors encountered
  • Other (please specify)
Q06
Ranking

From the list below, rank up to three blockers that most affected your checkout experience (drag to rank).

  1. Payment method unavailable
  2. Address validation rejected correct info
  3. Card declined or 3-D Secure failed
  4. Form usability (autofill, cursor focus, field order)
  5. Promo/gift code issues
  6. Slow loading or timeouts
  7. Unclear or missing error messages
Drag to rank
Q07
Long Text

Based on your responses, is there anything else you'd like to share about your checkout experience or suggestions for improvement?

Q08
Dropdown

What is your age?

  • 18–24
  • 25–34
  • 35–44
  • 45–54
  • 55–64
  • 65+
  • Prefer not to say
Q09
Message

Thank you for your time! Your feedback will directly help us improve the checkout experience. Your responses are confidential and will be reported in aggregate only.

Q10
Dropdown

When was your most recent checkout attempt?

  • Within the last 7 days
  • 8–14 days ago
  • 15–30 days ago
  • More than 30 days ago
Q11
Multiple Choice

What was the outcome of your payment attempt?

  • Went through on the first try
  • Went through after multiple tries
  • Did not go through — I abandoned checkout
  • Did not go through — I contacted support and completed later
Q12
Multiple Choice

Which address fields caused issues, if any? (Select all that apply)

  • Street address line 1
  • Address line 2 / Apartment / Unit
  • City
  • State / Province / Region
  • Postal / ZIP code
  • Country selector
  • Phone number
  • Name fields
  • None — no issues
  • Other (please specify)
Q13
Opinion Scale

Overall, how severe were the validation or error issues you encountered?

Scale: 17
Min:Not at all severeMax:Extremely severe
Q14
Dropdown

Approximately how long did checkout take from cart to confirmation (or stopping)?

  • Less than 1 minute
  • 1–2 minutes
  • 3–5 minutes
  • 6–10 minutes
  • More than 10 minutes
  • I don't remember
Q15
AI Interview

We'd like to ask a couple of follow-up questions about the checkout issues you experienced. Please share your thoughts in your own words.

Q16
Multiple Choice

What is your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer not to say
Q17
Opinion Scale

How easy or difficult was it to enter your payment details (card number, expiration, CVV, etc.)?

Scale: 17
Min:Very difficultMax:Very easy
Q18
Multiple Choice

Did you use autofill for address details?

  • Yes, and it worked correctly
  • Yes, but it caused issues
  • No
Q19
Opinion Scale

Error messages helped me understand and resolve problems without leaving checkout.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q20
Opinion Scale

How satisfied are you with the overall checkout experience?

Scale: 17
Min:Very dissatisfiedMax:Very satisfied
Q21
Dropdown

In which region are you located?

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East
  • Africa
  • Prefer not to say
Q22
Opinion Scale

How easy or difficult was it to confirm and submit your payment?

Scale: 17
Min:Very difficultMax:Very easy
Q23
Long Text

If you remember any specific error messages or what blocked you from completing checkout, please describe.

Q24
Opinion Scale

How likely are you to complete a purchase on our site/app again?

Scale: 17
Min:Very unlikelyMax:Very likely
Q25
Dropdown

How many times did you retry your payment during that session?

  • 0 — it worked the first time
  • 1
  • 2
  • 3
  • 4 or more

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

  • Breaks down checkout friction into distinct stages — payment entry/submission, address entry, and form validation — each measured with its own opinion-scale and multiple-choice questions rather than one generic 'how was checkout' rating.
  • Includes a ranking question so respondents prioritize which of several blockers (payment, address, validation, etc.) had the biggest impact, directly supporting 'highest-impact fix' prioritization.
  • Uses an AI follow-up interview to probe further into whatever specific checkout issues a respondent reported, and open-text fields to capture verbatim error messages for engineering/QA triage.
  • Produces an automated report from per-response quality-scored data, rather than requiring manual tally of scale and multiple-choice answers across dozens of question types.

Typeform

Free Checkout Form Template

This is a transactional checkout form (collecting order, shipping, and payment details) rather than a diagnostic research survey about why checkouts fail. It's fielding-ready as a form, but it isn't built to identify friction points, abandonment causes, or prioritize fixes.

What it does well

  • Clean, conversational one-question-at-a-time UI typical of Typeform
  • Likely mobile-friendly and quick for a customer to complete during an actual purchase
  • Easy to embed/deploy on a storefront

Where it falls short

  • It's a checkout form itself, not a diagnostic survey — no questions probing payment errors, validation issues, or abandonment reasons
  • Static question flow with no adaptive AI follow-up to dig into a specific friction point a shopper mentions
  • No automated per-response quality scoring or synthesized findings report

QuestionPro

Usability Survey For Self-Service Checkouts + Sample Questionnaire Template

A usability questionnaire aimed at self-service checkout experiences, which appears oriented toward in-person/kiosk-style checkout rather than online cart and payment flow specifically. It offers a ready sample questionnaire but is a static instrument.

What it does well

  • Provides a pre-built sample questionnaire so researchers can launch quickly
  • Structured usability framing (ease of use, satisfaction) applicable to checkout contexts generally
  • Backed by an established survey platform with standard reporting/analytics

Where it falls short

  • Not specifically built around online payment processing, address autofill, or form validation errors the way an e-commerce cart-abandonment diagnostic needs
  • Fixed question set with no adaptive AI probing when a respondent flags a specific blocker
  • No transparent prompt methodology or automated diagnostic report tying answers to specific fix recommendations

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

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