모든 템플릿

On-Device Personalization Trust & Privacy Preferences Survey

Measures user trust, comfort boundaries, and permission preferences for on-device personalization features. Designed for product and privacy teams validating data-handling approaches before launch.

샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 25개 · 약 11분
Q01
메시지

Welcome, and thank you for participating in this survey about your experiences with on-device personalization and data privacy. 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 anonymous and will be reported only in aggregate to inform product research. This survey takes approximately 8–10 minutes to complete.

Q02
객관식

Which of the following devices do you use at least once a week? Select all that apply.

  • Smartphone
  • Tablet
  • Smartwatch
  • Laptop or desktop computer
  • Smart TV
  • Smart speaker
  • None of these
Q03
객관식

In the past 3 months, which of the following on-device personalization features have you personally used? Select all that apply.

  • Keyboard autocorrect or next-word suggestions
  • Photos grouped by faces or scenes on your device
  • Voice assistant that processes commands locally
  • App suggestions based on on-device usage patterns
  • Health or fitness insights processed on your device
  • None of these
Q04
의견 척도

Overall, how much do you trust on-device personalization to protect your data privacy?

척도: 17
최소:Do not trust at all최대:Trust completely
Q05
순위 매기기

Please rank the following data types from most comfortable (1) to least comfortable (6) for on-device personalization to use.

  1. Contacts metadata (e.g., how often you contact someone)
  2. Typing patterns (not message content)
  3. Browsing history on this device
  4. Location history
  5. Photos metadata (e.g., timestamps, scenes)
  6. Health and fitness sensor data
드래그하여 순위 지정
Q06
객관식

Imagine a keyboard app offers on-device learning with an optional encrypted cloud backup to sync predictions across your devices. Which option would you choose?

  • On-device learning only (no cloud backup)
  • On-device learning plus encrypted cloud backup
  • Cloud backup only
  • I would not use personalization in this app
Q07
AI 인터뷰

We'd like to explore your thoughts on on-device personalization in a bit more depth. A short AI-guided conversation will ask you a couple of follow-up questions based on your earlier responses.

Q08
드롭다운

What is your age?

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

Thank you for completing this survey. Your feedback will help improve on-device personalization features and privacy practices.

Q10
드롭다운

What is your primary smartphone platform?

  • Apple iOS
  • Google Android
  • Other or no smartphone
Q11
의견 척도

Thinking about the past 30 days, how satisfied are you with the on-device personalization feature you used most often?

척도: 17
최소:Not at all satisfied최대:Extremely satisfied
Q12
의견 척도

To what extent do you agree or disagree with the following statement: "I understand how on-device personalization uses my data."

척도: 17
최소:Strongly disagree최대:Strongly agree
Q13
객관식

Which of the following types of data, if used for personalization, should never leave your device? Select all that apply.

  • Contacts metadata
  • Typing patterns (not content)
  • Browsing history
  • Location history
  • Photos metadata
  • Health and fitness sensor data
  • None of the above
  • Other (please specify)
Q14
장문형

Based on your responses in this survey, is there anything else you would like companies to know about your data boundaries and preferences?

Q15
객관식

Which best describes your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q16
장문형

Was there anything about that feature that felt intrusive or unclear? If so, please describe it briefly.

Q17
의견 척도

To what extent do you agree or disagree with the following statement: "On-device personalization meaningfully improves my daily experience with my devices."

척도: 17
최소:Strongly disagree최대:Strongly agree
Q18
객관식

Which permission approach would you prefer for on-device personalization?

  • Ask every time data is first used
  • Ask once per data type, then remember my choice
  • One-time setup with a clear dashboard to change settings later
  • No prompts; features off by default unless I enable them
Q19
드롭다운

In which region do you currently reside?

  • United States
  • Canada
  • United Kingdom
  • European Union
  • Australia
  • India
  • Other
Q20
의견 척도

To what extent do you agree or disagree with the following statement: "I feel in control of what data on-device features can access."

척도: 17
최소:Strongly disagree최대:Strongly agree
Q21
의견 척도

How important is it to you to have a visible privacy dashboard on your device?

척도: 17
최소:Not at all important최대:Extremely important
Q22
드롭다운

What is the highest level of education you have completed?

  • Less than high school
  • High school or equivalent
  • Some college or vocational training
  • Associate degree (2-year)
  • Bachelor's degree (4-year)
  • Postgraduate degree
  • Prefer not to say
Q23
장문형

In your own words, what does "on-device personalization" mean to you?

Q24
순위 매기기

Please rank the following from most important (1) to least important (5) when it comes to on-device personalization.

  1. Transparency about what data is used
  2. Speed and responsiveness of personalized features
  3. Accuracy and relevance of suggestions
  4. Assurance that data never leaves my device
  5. Easy controls to turn features on or off
드래그하여 순위 지정
Q25
객관식

What is your current employment status?

  • Employed full-time
  • Employed part-time
  • Self-employed
  • Student
  • Homemaker
  • Unemployed and seeking work
  • Not seeking employment
  • 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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이 템플릿을 선택하는 이유

  • Pairs multiple opinion-scale trust and agreement items (understanding of data use, perceived security, sense of control) so product and privacy teams get a multi-dimensional trust profile, not a single satisfaction score.
  • Uses ranking exercises that force respondents to trade off comfort across specific data types and priorities, surfacing real permission boundaries rather than abstract approval ratings.
  • Includes an adaptive AI follow-up interview that probes deeper into open-ended reasoning after the structured questions, catching nuance and edge cases a fixed-question form would miss.
  • Combines closed permission-preference and multiple-choice questions with open-text prompts on what felt intrusive or unclear, then rolls everything into an auto-generated report for privacy and product stakeholders.

SurveySparrow

New Product Launch Questionnaire Template | Product Survey Questions

This is a general market-research questionnaire for gauging reactions to a new product launch, not a privacy- or trust-specific instrument. It's a fielding-ready template but covers broad appeal/pricing/interest questions rather than data-handling comfort, permission models, or privacy dashboards. Useful as a generic launch-validation survey, not as a substitute for a dedicated on-device personalization trust study.

잘하는 점

  • Ready-to-deploy generic template for gauging early reactions to a new product or feature
  • Likely covers broad market-validation angles like interest, pricing, and appeal
  • Simple structured format that's fast to launch and analyze

아쉬운 점

  • No privacy-, trust-, or permission-specific question set for personalization features
  • Static question flow with no adaptive AI follow-up to probe why users feel intrusive or unclear about a feature
  • No published methodology on automated response scoring or prompt transparency

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