Voice Authentication in Banking: Adoption & Trust Survey
Measures awareness, security perceptions, usage experience, and adoption intent for voice biometric authentication among banking customers. Suitable for financial institutions evaluating customer readiness for voice-based identity verification.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
Do you currently hold a personal bank account (checking, savings, or both)?
- Yes
- No
In the last 6 months, how often have you contacted your bank's customer support (by phone or chat)?
- Never
- Once
- 2–3 times
- 4–6 times
- 7 or more times
Before today, had you heard of voice authentication (voice biometrics) being used by banks?
- Yes
- No
- Not sure
Overall, how satisfied were you with your most recent voice authentication experience?
How confident or not confident are you that voice authentication can effectively protect bank accounts from unauthorized access?
If your bank offered voice authentication, how likely or unlikely would you be to use it in the next 3 months?
Based on your responses in this survey, please share any additional thoughts or feelings about voice authentication in banking. Our AI interviewer may ask a couple of brief follow-up questions to better understand your perspective.
What is your age?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Thank you for completing this survey. Your feedback will help shape more secure and convenient banking experiences. Your responses have been recorded.
Voice authentication verifies a customer by analyzing unique characteristics of their voice. Banks may use it during phone calls or in mobile apps to help confirm your identity.
How easy or difficult was it to complete the voice authentication steps?
Which of the following potential risks, if any, concern you about voice authentication? Please select all that apply.
- Someone impersonating my voice (spoofing or deepfake)
- Recordings of my voice being reused
- Biometric data storage and privacy
- False rejects locking me out of my account
- Background noise causing authentication failures
- Fraudsters bypassing security with social engineering
- Other
- None of the above
How much would each of the following features increase your willingness to use voice authentication?
What is your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
In the past 12 months, have you used voice authentication with any financial service?
- Yes
- No
- Not sure
Which of the following issues, if any, did you experience when using voice authentication? Please select all that apply.
- System did not recognize my voice
- Background noise interfered
- Had to repeat phrases multiple times
- Concerned about being recorded
- Process took too long
- Could not proceed and needed an agent
- Other
- None of the above
Please rank the following methods for accessing your bank account from most secure (top) to least secure (bottom).
- Password or PIN
- Fingerprint recognition
- Voice authentication
- Facial recognition
- SMS one-time code
- Security questions
Please rank the following features by how much they would increase your willingness to use voice authentication. Drag your top choice to the top.
- Verified anti-spoofing protections
- Clear opt-out at any time
- Ability to fall back to a passcode
- Shorter time to access my account
- Transparent data storage and retention policy
- Simple in-app setup guidance
In which country or region do you currently reside?
- United States
- United Kingdom
- Canada
- Australia
- European Union
- Other
- Prefer not to say
What is the highest level of education you have completed?
- Some high school
- High school diploma or equivalent
- Some college or associate degree
- Bachelor's degree
- Postgraduate degree
- Prefer not to say
What is your current employment status?
- Full-time employee
- Part-time employee
- Self-employed
- Student
- Unemployed
- Retired
- Homemaker or caregiver
- Prefer not to say
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
- Purpose-built for voice biometrics in banking, not a generic template: it covers awareness before using the term, prior use of voice authentication with financial services, satisfaction and ease-of-use with the actual experience, and specific issue/risk checklists rather than generic 'awareness and usage' placeholders.
- Uses ranking questions to force trade-off comparisons — most-secure account access methods, and which features would most increase willingness to adopt voice authentication — producing prioritized data static awareness surveys rarely capture.
- Includes an AI follow-up interview that lets respondents explain their satisfaction scores, security concerns, or hesitations in their own words, with the option of a voice AI interview for richer qualitative context.
- Every quantitative item feeds into an automated per-response quality score and auto-generated report, with transparent prompts so a bank's research or compliance team can see exactly how follow-up questions were generated.
QuestionPro
10 Product Awareness & Attitudes Survey Questions + Sample Questionnaire TemplateThis is a generic awareness-attitudes-usage (AAU) framework article with sample questions, not a template built for voice authentication or banking specifically. It's useful as a starting question bank but reads as a guide/reference page rather than a ready-to-field survey for this topic.
What it does well
- Established, widely-used AAU questionnaire structure applicable across product categories
- Provides sample question wording researchers can adapt to their own product or service
Where it falls short
- Not specific to voice biometrics, security perceptions, or banking customer contexts — requires heavy customization
- Static question list with no adaptive follow-up probing or voice AI interview capability
- No built-in automated 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.
Related templates
More studies from the same category.
First-Session Trust Signals & Onboarding Survey
Measures which trust cues, social proof elements, and onboarding flows most effectively build user confidence during first-time website and app visits. Designed for UX researchers and product teams optimizing conversion funnels.
View templateUser Trust in Platform Transparency Reports
Measures how users interpret, trust, and engage with online platforms' transparency reports. Designed for researchers and compliance teams evaluating perceived clarity, credibility, and improvement opportunities.
View templateThird-Party Risk Disclosure Clarity Assessment
Evaluates how clearly third-party risk disclosures and mitigations are communicated across teams. Designed for GRC, security, procurement, and other stakeholders who interact with vendor risk information, this instrument identifies gaps in accessibility, readability, and actionability to drive targeted improvements.
View templateSMS Consent & Opt-Out UX Evaluation
Evaluates consumer perceptions of SMS marketing consent flows and opt-out experiences to identify UX friction points and TCPA compliance gaps. Designed for brands seeking to improve trust, clarity, and regulatory readiness in their text messaging programs.
View templateConsumer Data Trust & Privacy Perceptions Survey
Measures consumer trust in organizational data handling, breach response expectations, and permission transparency. Use with general consumer panels to benchmark trust levels and identify priority improvements for privacy practices.
View templatePhishing Simulation Effectiveness & Feedback Survey
Measures employee perceptions of phishing simulation realism, behavioral responses, confidence changes, and training preferences to help security teams optimize their awareness programs.
View template