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Data Retention Policy Comprehension & Usability Survey

Measures how well users understand your data retention policy, evaluates the discoverability and usability of retention-related controls, and identifies preferred communication formats to inform UX and compliance improvements.

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샘플 질문

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질문 18개 · 약 9분
Q01
메시지

Welcome, and thank you for participating in this survey about our data retention policy and related controls. This survey takes approximately 9 minutes to complete. 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 and experiences. All responses are confidential, will be anonymized, and reported only in aggregate to help us improve our privacy communications and tools.

Q02
객관식

In the past 6 months, have you looked at our data retention policy?

  • Yes, read it fully
  • Yes, skimmed it
  • Aware of it but have not looked
  • Not aware of it
Q03
의견 척도

Overall, how clear is our data retention policy to you?

척도: 1 – 7
최소:Very unclear최대:Very clear
Q04
객관식

In the past 6 months, which of the following retention-related controls have you seen or used? Select all that apply.

  • Set a retention period
  • Request deletion of specific data
  • Delete my account
  • Download or export my data
  • Pause data collection
  • Turn off certain tracking
  • I did not see any controls
Q05
객관식

Where would you expect to find clear information about data retention? Select all that apply.

  • Privacy policy page
  • In-product settings
  • Help Center or FAQ
  • During sign-up or checkout
  • Account or billing emails
  • Company blog or announcements
  • Contacting support
  • Other (please specify)
Q06
의견 척도

Overall, how satisfied are you with how we communicate our data retention practices?

척도: 1 – 7
최소:Very dissatisfied최대:Very satisfied
Q07
장문형

Based on your experience, is there anything else we could do to make our data retention policy or controls clearer or easier to use?

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 your time! Your feedback will help us improve how we communicate and manage data retention. All responses will be reviewed in aggregate and kept confidential.

Q10
의견 척도

How clear is the policy about how long your data is kept?

척도: 1 – 7
최소:Very unclear최대:Very clear
Q11
의견 척도

How confident are you that you could adjust your data retention settings if you needed to?

척도: 1 – 7
최소:Not at all confident최대:Extremely confident
Q12
객관식

Which of the following formats would most help you understand data retention practices? Select up to two.

  • 1–2 sentence summary
  • Table with examples
  • Interactive control guide
  • Timeline graphic
  • FAQ format
  • Short video tutorial
Q13
AI 인터뷰

Thank you for your feedback so far. We'd like to ask a couple of follow-up questions to better understand your experience with our data retention policy and controls.

Q14
객관식

How do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q15
의견 척도

How clear is the policy about your rights to request data deletion?

척도: 1 – 7
최소:Very unclear최대:Very clear
Q16
드롭다운

In which region do you primarily live?

  • United States
  • Canada
  • United Kingdom
  • European Union
  • Australia / New Zealand
  • Asia
  • Latin America
  • Africa
  • Middle East
  • Other
  • Prefer not to say
Q17
의견 척도

How clear is the policy about what happens to your data after your account is closed?

척도: 1 – 7
최소:Very unclear최대:Very clear
Q18
드롭다운

What is the highest level of education you have completed?

  • Less than high school
  • High school or equivalent
  • Some college or associate degree
  • Bachelor's degree
  • Master's degree
  • Doctorate
  • 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.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

  • Includes four distinct opinion-scale questions that isolate different comprehension dimensions (overall policy clarity, retention duration, deletion rights, and post-account-closure handling) rather than one generic 'how clear is this' item.
  • Directly tests usability and discoverability with questions on which retention controls users have actually used in the past 6 months, where they'd expect to find retention info, and how confident they'd be adjusting settings.
  • Captures preferred communication format and satisfaction, then uses an open-text question plus an AI follow-up interview to probe unclear or negative responses in real conversational depth.
  • Collects age, gender, region, and education via dropdowns/multiple-choice for segmentation, with per-response quality scoring and an auto-generated report built in — no manual tallying required.

SurveySparrow

Data Request Form Template | For Accessing Client Data

This is a transactional intake form for processing client data access/deletion requests, not a research survey measuring policy comprehension or control usability. It's fielding-ready for its intended purpose (logging a data request), but it collects request details rather than attitudes, clarity ratings, or UX feedback about a retention policy. Useful as a downstream compliance workflow tool, not as a comprehension/usability study.

잘하는 점

  • Purpose-built for capturing structured data subject requests (e.g., access/deletion) in a compliance workflow
  • Backed by SurveySparrow's broader form/survey distribution and design tooling
  • Likely simple to deploy for routine data-request intake

아쉬운 점

  • Does not measure policy clarity, discoverability of retention controls, or preferred communication formats — it's a request form, not a comprehension survey
  • No adaptive AI follow-up interview or voice AI option to probe why a policy is unclear
  • No automated per-response quality scoring or auto-generated comprehension/usability report

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