Q01
Message
All templates
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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
12 questions · ~7 min
Q02
Multiple ChoiceRequired
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
Multiple ChoiceRequired
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
MatrixRequired
Rate how easy or difficult each part of the self-checkout process is for you.
6 rows × 5 columns
- Scanning or weighing items
- Entering coupons or loyalty rewards
- Bagging items in the right slot
- Choosing and completing payment
- Understanding error messages
- +1 more
Columns: Very difficult · Difficult · Neutral · Easy · Very easy
Q05
Opinion ScaleRequired
Overall, how easy is it to use our self-service checkout compared to a staffed lane?
Scale: 1 – 7
Min:Much harder than a staffed laneMax:Much easier than a staffed lane
Q06
Multiple ChoiceRequired
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 Interview
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
Best–Worst Trade-off (MaxDiff)Required
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
Pick best & worst per setBest:Biggest improvementWorst:Smallest improvement
Q09
Rating Scale
How likely are you to choose self-service checkout again on your next visit?
Range: 1 – 5
Min:Very unlikelyMax:Very likely
Q10
Multiple Choice
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
Multiple Choice
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
Message
That's everything — thank you! Your feedback goes directly into improving the checkout flow and fixing the errors that cause the most friction.
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
- 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.
What it does well
- 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
Where it falls short
- 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.
What it does well
- 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
Where it falls short
- 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.
What it does well
- 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
Where it falls short
- 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
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.