Privacy Nutrition Label Comprehension & Trust Survey
Measures how users interpret, evaluate, and act on app privacy nutrition labels using a concept-testing methodology with comprehension checks, trust and usefulness scales, and preference ranking. Suitable for UX researchers, privacy teams, and compliance professionals seeking to optimize label design.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
In the past 12 months, have you seen a privacy "nutrition label" (a summary panel showing what data an app or service collects) for any app, website, device, or service?
- Yes
- No
- Not sure
Where have you encountered a privacy label? Select all that apply.
- Apple App Store
- Google Play Store
- Product website
- Inside the app or device settings
- On product packaging
- Browser extension or add-on
- News article or review
- Other (please specify)
<p>Please review the following fictional privacy label for "FitTrack," a health and fitness app.</p><p><strong>Data Collected:</strong></p><p>Precise location — Used for route tracking (retained up to 1 year)</p><p>Health & fitness data — Used for app functionality (retained until account deletion)</p><p>Usage analytics — Used for product improvement (retained up to 90 days)</p><p><strong>Data Shared with Third Parties:</strong></p><p>Usage analytics — Shared with analytics providers</p><p>Health & fitness data — Not shared</p><p>Contacts — Not collected</p><p><strong>Security:</strong> Data encrypted in transit and at rest.</p><p><strong>Controls:</strong> You can disable location tracking and delete your data at any time.</p><p>Please review this label carefully before continuing.</p>
Based on the sample label you just reviewed, does FitTrack collect precise location data?
- Yes
- No
- Not sure
Overall, how useful would this style of privacy label be when deciding whether to use an app?
Rank the following label elements by how important they are to you when deciding whether to use an app (drag to reorder; top = most important).
- What data are collected
- Why data are collected (purposes)
- Who data are shared with
- How long data are kept (retention)
- Security practices
- Controls and opt-outs available
What, if anything, would make privacy labels more useful or easier to understand?
What is your age?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65 or older
- Prefer not to say
Thank you for completing this survey. Your feedback will help improve how privacy information is designed and communicated to users like you.
When choosing apps or devices in the past 3 months, how often did you notice privacy labels?
- Never
- Less than once a month
- About monthly
- About weekly
- Several times per week
- Daily or almost daily
According to the sample label, how long are usage analytics data retained?
- Up to 30 days
- Up to 90 days
- Up to 1 year
- Until you delete your account
- Not stated
How easy or difficult was the sample privacy label to understand?
Realistically, how much time would you spend reading a privacy label before installing an app?
- Less than 5 seconds
- 5–15 seconds
- 16–30 seconds
- 31–60 seconds
- 1–2 minutes
- More than 2 minutes
- I would not read it
Based on your responses in this survey, please share any additional thoughts or feelings about privacy labels and how they influence your decisions.
Which best describes your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
After reading a privacy label, which actions have you taken? Select all that apply.
- Installed or continued using the product
- Chose a different product
- Decided not to install or use
- Adjusted privacy settings
- Sought more information
- Ignored it or took no action
According to the sample label, are your contacts shared with third parties?
- Yes, with advertisers
- Yes, with service providers
- No, kept on device
- Not collected
If a product displays this kind of privacy label, how would it affect your trust in that product?
Where do you think privacy labels should appear? Select all that apply.
- App store listing
- On first launch (onboarding)
- Within app or device settings
- Product website
- Physical packaging
- I don't need to see them
- Other (please specify)
We'd like to explore your thoughts on privacy labels in a bit more depth. An AI moderator will ask you a couple of follow-up questions about your experiences and opinions.
If you selected 'Prefer to self-describe,' please share your gender identity (optional):
How likely would you be to choose an app that displays a privacy label like this over one that does not?
In which region do you currently live?
- North America
- Central America or Caribbean
- South America
- Western Europe
- Eastern Europe
- Middle East or North Africa
- Sub-Saharan Africa
- South Asia
- East Asia
- Southeast Asia
- Oceania
- Prefer not to say
What is the highest level of education you have completed?
- Some high school or less
- High school diploma or equivalent
- Some college or associate degree
- Bachelor's degree
- Postgraduate or advanced degree
- Prefer not to say
What is your current employment status?
- Full-time
- Part-time
- Self-employed
- Student
- Homemaker or caregiver
- Unemployed and looking
- Retired
- Prefer not to say
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.
이 템플릿을 선택하는 이유
이 템플릿의 설계 목적을 소개합니다. 다른 설문 도구에서는 직접 비교할 만한 템플릿을 찾지 못했습니다.
차별화 포인트
- Uses a concept-testing methodology with a fictional sample privacy label and follow-up comprehension checks (e.g., data retention, location collection, contact sharing) to verify actual understanding, not just self-reported opinion
- Includes trust, usefulness, and ease-of-understanding opinion scales alongside a ranking exercise on which label elements matter most, giving richer signal than a single satisfaction question
- Adds an adaptive AI follow-up interview to probe open-ended reactions in depth after the structured questions, something static form builders cannot replicate
- Closes with a full demographic block (age, gender, region, education, employment) enabling segmentation of comprehension and trust results across user groups
자주 묻는 질문
“Privacy Nutrition Label Comprehension & Trust Survey” 템플릿에는 어떤 질문이 포함되어 있나요?
바로 사용할 수 있는 질문 26개가 포함되어 있으며, 처음 질문은 다음과 같습니다: “Welcome to this research survey on privacy information labels — the summary panels that show what data apps and services…” · “In the past 12 months, have you seen a privacy "nutrition label" (a summary panel showing what data an app or service co…” · “Where have you encountered a privacy label? Select all that apply.”. 전체 질문은 위에서 미리 볼 수 있고 모두 수정 가능합니다.
이 설문을 완료하는 데 얼마나 걸리나요?
응답자는 보통 질문 26개를 약 11분 안에 완료합니다.
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