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.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
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
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
How much do you agree with each statement about your debit card?
- 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
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
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
How likely are you to recommend your debit card to a friend or family member?
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.
Rank how you prefer to manage your debit card day-to-day, from most to least preferred.
- Mobile banking app
- Bank website on a computer
- Calling customer service
- Visiting a branch
- Text/SMS alerts
Which age range do you fall into?
- Under 25
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
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
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.
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
- 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 TemplateThis 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.
잘하는 점
- 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
아쉬운 점
- 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
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.
관련 템플릿
같은 카테고리의 다른 설문을 만나 보세요.
Apple vs Samsung 브랜드 선호도 및 전환 설문
현재 Apple 및 Samsung 기기 사용자가 각 브랜드를 카메라, 배터리, 소프트웨어, 디자인, 가성비 측면에서 어떻게 평가하는지 비교하고, best-worst 트레이드오프와 점수 배분을 통해 실제 구매 결정을 이끄는 요인을 드러냅니다. AI 후속 인터뷰가 브랜드 충성도 또는 전환 계획의 실제 계기를 심층적으로 파고듭니다. 모바일 브랜드 및 제품 팀을 위해 설계되었습니다.
템플릿 보기브랜드 정서적 유대감 및 애착 설문조사
고객이 만족도나 충성도 점수를 넘어 귀사의 브랜드에 얼마나 깊이 정서적으로 연결되어 있는지를 측정합니다 — 정체성, 향수, 신뢰, 상실감을 아우릅니다. AI 후속 인터뷰를 통해 가장 강한 유대감을 형성한 특정 기억이나 순간을 드러내어, 수치 이면의 정성적 색채를 제공합니다.
템플릿 보기Leisure Time Habits and Satisfaction Survey
Explores how people actually spend their free time, how satisfied they are with that balance, and what gets in the way of doing more of what they enjoy. Built for leisure, wellness, media, and lifestyle brands mapping real behavior, not stated preferences — with an AI follow-up that reconstructs a specific recent moment when leisure time fell short.
템플릿 보기Sexual Health Testing Experience & Awareness Survey
Measures how people access, experience, and think about STI/STD testing services — testing frequency, comfort with providers, and the practical or emotional barriers that keep people from testing regularly. Built for sexual health clinics and public health teams, with an AI follow-up that digs into the real reasons behind gaps in testing behavior.
템플릿 보기Residential Renewable Energy Adoption & Attitudes Survey
Explores how households think about switching to or expanding renewable energy — current usage, the trade-offs that matter most, and what's holding people back. An AI follow-up interview digs into the real story behind the biggest barrier or motivation a respondent picks, going beyond checkbox answers. Built for utilities, solar installers, and energy programs sizing demand and messaging.
템플릿 보기Sense of Control Over Life Assessment
Measures how much control people feel they have over key areas of their life — work, money, health, relationships, and time — plus what's driving that feeling. An AI follow-up interview digs into the one domain where control feels lowest, reconstructing a real recent moment instead of relying on abstract self-ratings.
템플릿 보기