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Cross-Border Data Transfer Trust Assessment (GDPR)

Measures customer trust, comfort, and consent preferences regarding international personal data transfers. Use this instrument to identify key drivers of acceptance, benchmark transparency satisfaction, and inform GDPR-aligned communication strategies.

Sample questions

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

18 questions · ~9 min
Q01
Message

Welcome and thank you for participating in this survey about your views on how organizations handle personal data across borders. This survey is voluntary and should take approximately 5–7 minutes. You may stop at any time without consequence. There are no right or wrong answers—we are interested in your honest opinions. Your responses are confidential, will be anonymized, and reported only in aggregate. Results will be used to improve how we communicate about data transfer practices. By continuing, you confirm that you are 18 years of age or older and consent to participate.

Q02
Multiple Choice

Before this survey, were you aware that some organizations transfer customers' personal data across national borders?

  • Yes
  • No
  • Not sure
Q03
Opinion Scale

How comfortable or uncomfortable are you with companies transferring your personal data to other countries?

Scale: 17
Min:Very uncomfortableMax:Very comfortable
Q04
Ranking

Please rank the following factors from most to least important when deciding whether to accept a company transferring your personal data across borders.

  1. Strong encryption and key management
  2. Legal adequacy of the destination country or region
  3. The company's privacy and security reputation
  4. Ability to opt out or control where data is sent
  5. Data minimization and purpose limitation
  6. Independent audits and certifications
Drag to rank
Q05
Opinion Scale

Overall, how satisfied are you with the clarity of information companies provide about how and where they transfer your personal data?

Scale: 17
Min:Very dissatisfiedMax:Very satisfied
Q06
AI Interview

We'd like to understand your perspective on cross-border data transfers in more depth. An AI moderator will ask you a couple of follow-up questions based on your earlier answers. Please respond in your own words.

Q07
Long Text

Based on your responses in this survey, please share any additional thoughts or feelings about how companies handle cross-border data transfers.

Q08
Dropdown

What is your age group?

  • 18–24
  • 25–34
  • 35–44
  • 45–54
  • 55–64
  • 65+
  • Prefer not to say
Q09
Message

Thank you for your time. Your responses will help us better understand and improve how organizations communicate about cross-border data transfer practices. Your feedback is greatly appreciated.

Q10
Multiple Choice

How often, if at all, do you read or review privacy policies or data handling notices from companies you use?

  • Always or almost always
  • Often
  • Sometimes
  • Rarely
  • Never
  • Not sure
Q11
Multiple Choice

Which of the following best describes your position on cross-border transfers of your personal data by a company you use?

  • Yes, I would generally accept this
  • Yes, but only under specific conditions
  • No, I would not accept this under any circumstances
Q12
Ranking

Please rank the following regions from most to least trusted as destinations for your personal data.

  1. European Union / EEA
  2. North America
  3. United Kingdom
  4. East Asia
  5. South Asia
  6. Latin America
  7. Middle East / Africa
  8. Oceania
Drag to rank
Q13
Multiple Choice

If you could change one thing about how companies communicate about cross-border data transfers, what would it be?

  • Simpler, plain-language explanations
  • More specific details about destination countries
  • Clearer information about what safeguards are in place
  • Easier ways to opt out of specific transfers
  • Real-time notifications when data is transferred
  • Nothing—current communication is adequate
  • Other (please specify)
Q14
Multiple Choice

How do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer not to say
Q15
Opinion Scale

How likely or unlikely would you be to continue using a company that transfers your data across borders, assuming they are transparent about the practice?

Scale: 17
Min:Very unlikelyMax:Very likely
Q16
Dropdown

In which region do you primarily reside?

  • North America
  • Latin America
  • Europe
  • Middle East
  • Africa
  • South Asia
  • East Asia
  • Southeast Asia
  • Oceania
  • Prefer not to say
Q17
Dropdown

What is the highest level of education you have completed?

  • Some high school or less
  • High school diploma or equivalent
  • Some college or technical program
  • Bachelor's degree
  • Postgraduate degree
  • Prefer not to say
Q18
Dropdown

What is your current employment status?

  • Employed full-time
  • Employed part-time
  • Self-employed
  • Student
  • Unemployed and looking for work
  • Not in labor force (e.g., caregiver, retired)
  • 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

  • Includes attitudinal measures like awareness checks, comfort/satisfaction opinion scales, and ranking questions on transfer factors and trusted regions — not just a compliance form
  • Contains an AI follow-up interview question that lets us probe respondents' reasoning on cross-border data transfers in their own words, beyond fixed-choice answers
  • Pairs quantitative scales with an open-text reflection question and full demographic breakdowns (age, gender, region, education, employment) for segmentation
  • Ends with auto-generated reporting on drivers of trust and transparency satisfaction, which static consent/request forms don't produce

Jotform

Personal Data Consent Form Template

This is a static consent-capture form for recording a customer's agreement to personal data processing, not an attitudinal research instrument. It's useful for compliance documentation but doesn't measure trust, comfort, or preferences around cross-border transfers. Good for quick deployment but serves a fundamentally different purpose than a survey.

What it does well

  • Ready-made GDPR consent language and fields for quick embedding
  • Simple, familiar Jotform form-builder workflow
  • Likely mobile-responsive and easy to integrate into signup flows

Where it falls short

  • No attitudinal question types (opinion scales, ranking) to measure trust or comfort levels
  • No adaptive AI follow-up to probe why respondents feel the way they do
  • No automated scoring or auto-generated insights report on transfer acceptance drivers

Typeform

GDPR Data Removal Request Form Template

This template is built for intake of data-erasure (right-to-be-forgotten) requests, a different GDPR use case than assessing trust in cross-border transfers. It shares the conversational, polished UI Typeform is known for, but it's a compliance-request intake form rather than an opinion/trust research survey. Relevant domain, but not a comparable instrument for benchmarking transparency satisfaction.

What it does well

  • Clean, conversational one-question-at-a-time interface
  • Purpose-built fields for erasure request intake
  • Quick to set up for a narrow compliance task

Where it falls short

  • Not designed to capture comfort, trust, or consent-preference data around transfers
  • No ranking or opinion-scale question types for measuring driver importance
  • No AI-moderated follow-up interview or transparent prompt disclosure

Ready to launch?

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