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Debit Card Usage & Satisfaction Survey

Explores how customers actually use their debit card day to day — spend allocation, fees, fraud concerns, and feature priorities — with an AI follow-up interview that uncovers the real story behind a decline, surprise fee, or trust issue instead of stopping at a satisfaction score. Built for banks, credit unions, and fintechs evaluating their debit card experience.

Sample questions

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

12 questions · ~7 min
Q01
Message

Thanks for sharing your experience with your debit card! This short survey looks at how you actually use it day-to-day and where it could work better for you. It takes about 5 minutes.

Q02
Multiple ChoiceRequired

In the last 30 days, how often did you use your debit card to pay for something (in-store, online, or through a mobile wallet)?

  • Not at all
  • 1-3 times
  • 4-10 times
  • 11-20 times
  • More than 20 times
Q03
Point AllocationRequired

Thinking about all your everyday spending last month, roughly how did it split across these payment methods?

  • Debit card
  • Credit card
  • Cash
  • Mobile wallet (e.g. Apple Pay, Google Pay)
  • Buy now, pay later
Allocate 100 points
Q04
MatrixRequired

How much do you agree with each statement about your debit card?

5 rows × 5 columns
  • It's accepted everywhere I want to pay
  • The fees on it are reasonable
  • I trust it to protect me from fraud
  • I get notified quickly about card activity
  • It gives me useful rewards or perks
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
Best–Worst Trade-off (MaxDiff)Required

Which of these debit card features matter most to you, and which matter least?

  • Cashback on purchases
  • No foreign transaction fees
  • Real-time spending notifications
  • Higher daily ATM withdrawal limit
  • Freeze/unfreeze the card instantly in the app
  • Virtual card number for online purchases
  • Budgeting and spending insights in the app
  • Fast replacement for a lost or stolen card
Pick best & worst per setBest:Matters most to meWorst:Matters least to me
Q06
Multiple ChoiceRequired

In the last 90 days, did you experience any of the following with your debit card?

  • A transaction was declined unexpectedly
  • I was charged a fee I didn't expect
  • I noticed unauthorized or suspicious activity
  • My card was lost, stolen, or compromised
  • None of these
Q07
Opinion ScaleRequired

How likely are you to recommend your debit card to a friend or family member?

Scale: 010
Min:Not at all likelyMax:Extremely likely
Q08
AI Interview

If the respondent reported a declined transaction, unexpected fee, or suspicious activity, get the full story: what they were trying to do, how the bank responded, how long it took to resolve, and how it affected their trust. If they reported no issues, probe what specifically drives their recommendation score by anchoring on one concrete recent moment using the card. Always close by asking what single change would most improve their day-to-day experience with the card.

Q09
Ranking

Rank how you prefer to manage your debit card day-to-day, from most to least preferred.

  1. Mobile banking app
  2. Bank website on a computer
  3. Calling customer service
  4. Visiting a branch
  5. Text/SMS alerts
Drag to rank
Q10
Multiple Choice

Which age range do you fall into?

  • Under 25
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65+
  • Prefer not to say
Q11
Multiple Choice

How long have you banked with the institution that issues this debit card?

  • Less than 1 year
  • 1-3 years
  • 4-7 years
  • 8+ years
  • Prefer not to say
Q12
Message

That's everything — thank you! Your answers feed directly into a report on how debit card fees, features, and trust issues shape the everyday experience, so we can prioritize what to fix and build next.

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

  • Goes beyond a single satisfaction score with a dedicated AI follow-up interview that only activates when a respondent reports a declined transaction, surprise fee, or suspicious activity — digging into the real story instead of stopping at a rating.
  • Uses a point-allocation question to capture how spend actually splits across categories, a matrix to test agreement across multiple debit card statements, a best-worst trade-off exercise to force real trade-offs between competing features, and a ranking question for day-to-day account management preferences.
  • Bookends the survey with conversational conversational message intro/outro so respondents know their answers are feeding directly into a report on the institution's debit card experience.
  • Segments by tenure and age range alongside an NPS-style rating-scale recommend question, giving banks/credit unions/fintechs both breadth (structured metrics) and depth (AI-probed narratives) in one instrument.

QuestionPro

Debit Card Survey Template

This is a genuine debit card usage/satisfaction survey template, making it the closest direct comparable in this set. It appears to be a static question template within QuestionPro's broader survey platform, aimed at fielding through standard channels. There's no indication of adaptive interviewing — it reads as a fixed question set rather than a dynamic research instrument.

What it does well

  • Purpose-built as a debit card survey rather than a generic financial services template
  • Backed by QuestionPro's established survey platform with broad distribution and analysis tooling
  • Likely quick to deploy for teams wanting a standard, fixed-question satisfaction survey

Where it falls short

  • No adaptive AI follow-up interview — cannot dynamically probe a specific decline, fee complaint, or fraud concern the way our AI interview does
  • No automated per-response quality scoring to flag low-effort or inconsistent answers
  • No published transparent-prompt methodology, so it's unclear how any AI-assisted features (if present) actually work

Ready to launch?

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