Identity Verification Friction & Trust Assessment
Measures ease, clarity, trust, and drop-off points across KYC/AML identity verification flows. Designed for compliance, product, and UX teams seeking to reduce verification abandonment and improve onboarding completion rates.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
In the past 6 months, how often have you used online or mobile financial services?
- Daily
- Weekly
- Monthly
- Less than monthly
- Not at all
The instructions at each step were clear and easy to follow.
Which, if any, issues did you encounter during verification? Select all that apply.
- Document upload failed
- Photo quality was rejected
- Camera or device didn't work as expected
- Address verification failed
- Name mismatch between documents
- Liveness/face check was confusing
- Unclear which documents were acceptable
- Timeouts or connection problems
- Concerns about data privacy
- None of the above
How satisfied or dissatisfied were you with the help or guidance available during verification?
How confident are you that your personal data is handled securely during the verification process?
What is your age group?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Based on your responses in this survey, please share any additional thoughts or feelings about the verification experience.
Where did you complete your most recent identity verification with us?
- Mobile app
- Desktop website
- In-branch
- Phone support
- Third-party link/integration
- Not sure
I understood which documents were required before I began.
We'd like to understand more about any friction or difficulties you experienced during verification. Please share what happened, and we may ask a few follow-up questions.
Which help resources did you use, if any? Select all that apply.
- In-app tips or tooltips
- Step-by-step guide
- Live chat
- Phone support
- Email support
- FAQ/Help center
- None of the above
Please rank the following areas from where improvement would help you most to least.
- Instructions and clarity
- Technical stability and speed
- Photo/document capture quality
- Identity matching and verification accuracy
- Help and support
- Privacy and transparency
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer not to say
Thank you for your time — your feedback will directly help us improve the verification experience for everyone.
Approximately when did that verification take place?
- Within the last 7 days
- 8–30 days ago
- 1–3 months ago
- 4–6 months ago
- More than 6 months ago
- Not sure
I knew what to expect in terms of the steps involved and how long it would take.
Please rank the following from most to least disruptive to your verification experience.
- Unclear instructions
- Technical errors
- Strict photo/document quality requirements
- Identity match failures
- Waiting for manual review
- Privacy concerns
If you needed to verify your identity with us again, how likely would you be to complete the process?
Where do you primarily reside?
- United States
- United Kingdom
- Canada
- Australia
- European Union
- Other/Rest of world
- Prefer not to say
Did you complete the verification in one sitting?
- Yes, completed on the first attempt
- Yes, but it took multiple attempts
- No, I could not complete it
- I started but plan to finish later
When something went wrong, the error messages helped me understand what to do next.
What is the highest level of education you have completed?
- Less than high school
- High school or equivalent
- Some college/Associate
- Bachelor's degree
- Master's degree
- Doctorate
- Professional degree (e.g., JD, MD)
- Prefer not to say
Approximately how long did the verification take in total?
- Less than 2 minutes
- 2–5 minutes
- 6–10 minutes
- 11–20 minutes
- More than 20 minutes
- Not sure
What is your current employment status?
- Employed full-time
- Employed part-time
- Self-employed
- Unemployed and looking for work
- Not employed and not seeking
- Student
- Retired
- Prefer not to say
Overall, how easy or difficult was the verification process?
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 static satisfaction ratings by including an AI follow-up interview that probes deeper into specific friction points or difficulties a respondent mentions during verification.
- Combines quantitative measures (clarity, confidence in data security, ease-of-use scales) with ranking questions that pinpoint which friction sources and improvement areas matter most.
- Captures process-level context (channel used, time taken, whether completed in one sitting, specific errors encountered) so compliance/product teams can localize drop-off causes, not just overall sentiment.
- Closes with an open-text reflection prompt and auto-generated reporting, turning raw responses into structured findings without manual coding.
Jotform
Identity Verification Form TemplateA static intake-style form for collecting identity verification submissions (e.g., document upload, personal details) rather than a survey measuring user experience or friction. Useful as a data-collection form, not as an instrument for assessing trust, clarity, or drop-off causes. No interview or follow-up mechanism is present.
잘하는 점
- Simple, ready-to-use form structure for collecting verification submissions
- Likely supports file/document upload fields common to KYC intake
- Easy to customize within Jotform's drag-and-drop builder
아쉬운 점
- No adaptive AI follow-up questioning to explore why friction occurred
- Not designed to measure experience-level constructs like trust, clarity, or satisfaction
- No automated per-response quality scoring or auto-generated analysis reports
Typeform
Identity Verification Form TemplateA conversational-style static form for capturing identity verification information, benefiting from Typeform's clean one-question-at-a-time UI. It is built for data intake rather than for evaluating verification friction, trust, or abandonment points across a flow. No mechanism for deeper qualitative probing exists.
잘하는 점
- Polished, respondent-friendly one-question-at-a-time interface
- Simple branching logic available for basic conditional paths
- Fast to deploy for straightforward identity data collection
아쉬운 점
- Lacks adaptive AI interviewing to dig into specific pain points respondents mention
- No built-in voice interview option or guided screen-share task capability
- No transparent prompt methodology or automated quality scoring of responses
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.