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User Trust & Consent Preferences for Privacy-Preserving Analytics

Measures users' comprehension of privacy-preserving analytics techniques, trust in identity protection, and preferences for consent controls and defaults. Designed for UX researchers and product teams evaluating analytics transparency features.

Sample questions

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

19 questions · ~4 min
Q01
Long Text

Welcome! This brief survey explores your understanding of and preferences for privacy-preserving website analytics. It should take approximately 5–7 minutes to complete. Your responses are completely anonymous and will be reported only in aggregate. There are no right or wrong answers — we are interested in your honest opinions. Participation is voluntary, and you may stop at any time or skip any question you prefer not to answer. Thank you for your time!

Q02
Multiple Choice

Which of the following best describes aggregated website metrics?

Q03
Long Text

How confident are you that privacy-preserving metrics protect your identity?

Q04
Multiple Choice

Which of the following controls would you want for privacy-preserving analytics on websites? Select all that apply.

Q05
Long Text

Please read the following scenario carefully before answering the next two questions. Imagine a website collects only aggregated usage metrics using differential privacy to improve page performance. No raw data logs are stored. You can change your analytics choice at any time from a visible Privacy menu.

Q06
AI Interview

Thank you for your responses so far. We'd like to explore your privacy preferences in a bit more depth. An AI moderator will ask you a couple of follow-up questions. Please respond in your own words.

Q07
Long Text

Based on your responses throughout this survey, please share any additional thoughts or suggestions about privacy-preserving analytics — including how they are explained, controlled, or implemented.

Q08
Long Text

What is your age group?

Q09
Long Text

Thank you for your time and insights! Your responses have been recorded and will be used to improve privacy-preserving analytics experiences. If you have any questions about this study, please contact the research team.

Q10
Multiple Choice

What does differential privacy aim to do?

Q11
Long Text

Please rank the following control designs from most to least preferred.

Q12
Long Text

Based on the scenario described above, how comfortable would you be with this setup?

Q13
Multiple Choice

Which of the following best describes your gender?

Q14
Multiple Choice

What default setting should websites use for privacy-preserving analytics?

Q15
Long Text

How likely would you be to opt in to this type of analytics setup?

Q16
Long Text

Where do you primarily live?

Q17
Long Text

If you opt in to privacy-preserving analytics, how long should your consent last before it expires?

Q18
Long Text

What is the highest level of education you have completed?

Q19
Multiple Choice

What is your current employment status?

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.

Ready to launch?

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