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.
Which of the following best describes aggregated website metrics?
- Combined across many users so individuals cannot be identified
- Includes your exact clicks tied to your identity
- Shares your personal details with partners
- I'm not sure
How confident are you that privacy-preserving metrics protect your identity?
Which of the following controls would you want for privacy-preserving analytics on websites? Select all that apply.
- On/off toggle for analytics
- Per-purpose controls (e.g., performance, personalization)
- Per-metric controls (e.g., time on page, clicks)
- Time-limited consent (auto-expires after a set period)
- Session-only consent (resets when I close the browser)
- View or download a record of metrics collected
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.
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.
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.
What is your age group?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
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.
What does differential privacy aim to do?
- Add statistical noise so trends remain while individuals are protected
- Encrypt data end-to-end so only the company can read it
- Only remove names; everything else stays the same
- I'm not sure
Please rank the following control designs from most to least preferred.
- On/off toggle for analytics
- Per-purpose controls (e.g., performance, personalization)
- Per-metric controls (e.g., time on page, clicks)
- Time-limited consent (auto-expires)
- Session-only consent (resets on browser close)
- View or download a record of metrics collected
Based on the scenario described above, how comfortable would you be with this setup?
Which of the following best describes your gender?
- Man
- Woman
- Non-binary
- Prefer not to say
What default setting should websites use for privacy-preserving analytics?
- Off by default (opt-in)
- On by default with clear notice and easy opt-out
- Ask me on first visit, then remember my choice
- No preference
How likely would you be to opt in to this type of analytics setup?
Where do you primarily live?
- North America
- Latin America & Caribbean
- Europe
- Middle East & North Africa
- Sub-Saharan Africa
- East Asia & Pacific
- South Asia
- Central Asia
- Oceania
- Prefer not to say
If you opt in to privacy-preserving analytics, how long should your consent last before it expires?
- Single session only
- 30 days
- 90 days
- 1 year
- Until I change it
- I'm not sure
What is the highest level of education you have completed?
- No formal education
- High school or equivalent
- Some college / associate degree
- Bachelor's degree
- Master's degree
- Doctorate or professional degree
- Trade / technical / vocational training
- Prefer not to say
What is your current employment status?
- Employed full-time
- Employed part-time
- Self-employed
- Student
- Unemployed
- Retired
- Prefer not to say
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.
Why this template
What this template is built to do — we found no directly comparable template from other survey tools to review.
What sets it apart
- Goes beyond a single consent checkbox by testing actual comprehension of aggregated metrics and differential privacy before asking about trust or preferences.
- Uses a read-first scenario followed by comfort and opt-in-likelihood ratings, so you capture contextual attitudes rather than abstract opinions alone.
- Includes an adaptive AI follow-up interview that probes deeper into each respondent's stated privacy preferences based on their earlier answers, something static forms can't do.
- Combines ranking, multiple-choice, and dropdown questions on control designs, default settings, and consent duration with demographic breakdowns for segmented analysis, then closes with an auto-generated report.
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
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