모든 템플릿

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.

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질문 26개 · 약 11분
Q01
메시지

Welcome to this research survey on privacy information labels — the summary panels that show what data apps and services collect, why, and with whom it is shared. Your participation is entirely voluntary, and you may stop at any time. There are no right or wrong answers — we are interested in your honest opinions. All responses are confidential, anonymized, and reported only in aggregate for research purposes. Estimated time: 12 minutes.

Q02
객관식

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
Q03
객관식

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)
Q04
메시지

<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>

Q05
객관식

Based on the sample label you just reviewed, does FitTrack collect precise location data?

  • Yes
  • No
  • Not sure
Q06
의견 척도

Overall, how useful would this style of privacy label be when deciding whether to use an app?

척도: 17
최소:Not at all useful최대:Extremely useful
Q07
순위 매기기

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).

  1. What data are collected
  2. Why data are collected (purposes)
  3. Who data are shared with
  4. How long data are kept (retention)
  5. Security practices
  6. Controls and opt-outs available
드래그하여 순위 지정
Q08
장문형

What, if anything, would make privacy labels more useful or easier to understand?

Q09
드롭다운

What is your age?

  • 18–24
  • 25–34
  • 35–44
  • 45–54
  • 55–64
  • 65 or older
  • Prefer not to say
Q10
메시지

Thank you for completing this survey. Your feedback will help improve how privacy information is designed and communicated to users like you.

Q11
객관식

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
Q12
객관식

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
Q13
의견 척도

How easy or difficult was the sample privacy label to understand?

척도: 17
최소:Very difficult최대:Very easy
Q14
드롭다운

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
Q15
장문형

Based on your responses in this survey, please share any additional thoughts or feelings about privacy labels and how they influence your decisions.

Q16
객관식

Which best describes your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q17
객관식

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
Q18
객관식

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
Q19
의견 척도

If a product displays this kind of privacy label, how would it affect your trust in that product?

척도: 17
최소:Trust much lower최대:Trust much higher
Q20
객관식

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)
Q21
AI 인터뷰

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.

Q22
장문형

If you selected 'Prefer to self-describe,' please share your gender identity (optional):

Q23
의견 척도

How likely would you be to choose an app that displays a privacy label like this over one that does not?

척도: 17
최소:Very unlikely최대:Very likely
Q24
드롭다운

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
Q25
드롭다운

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
Q26
드롭다운

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.

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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

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