All templates
Privacy & Compliance

Dark Pattern Acceptability & Transparency Trust Survey

Measures consumer reactions to common dark-pattern design tactics and transparency preferences, providing actionable data on trust drivers for UX and product teams.

Sample questions

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

23 questions · ~10 min
Q01
Message

Welcome, and thank you for your interest in this study. This survey explores your recent online experiences, reactions to common website and app design practices, and your transparency preferences. It takes approximately 7–10 minutes to complete. Your participation is entirely voluntary, and you may stop at any time without consequence. There are no right or wrong answers — we are interested in your honest opinions. All responses are confidential, will be anonymized, and reported only in aggregate for research purposes.

Q02
Multiple Choice

In the past 30 days, have you used any websites or apps to shop, book, or start or modify a subscription?

  • Yes
  • No
Q03
Message

The following scenarios describe common design practices you may encounter online. Please read each one carefully and rate how acceptable you find it.

Q04
Multiple Choice

Which of the following transparency features matter most to you when using websites or apps? Select all that apply.

  • Clear total price shown upfront
  • Easy cancellation in one or two steps
  • Plain-language data use summary
  • Consent toggles set to off by default
  • No auto-added items in cart
  • Prominent labels for ads or sponsored content
  • Change log for pricing or policy updates
  • Other (please specify in the next question)
Q05
Long Text

Describe a recent time when a website or app influenced your choice in a way you found concerning or unclear. What happened, and how did you respond?

Q06
Dropdown

What is your age group?

  • 18–24
  • 25–34
  • 35–44
  • 45–54
  • 55–64
  • 65+
  • Prefer not to say
Q07
Message

Thank you for your time — your input helps inform the design of clearer, more trustworthy online experiences. You may now close this survey.

Q08
Multiple Choice

Which of the following types of websites or apps have you used in the past 30 days? Select all that apply.

  • Retail or marketplace websites
  • Mobile shopping apps
  • Food delivery apps
  • Travel or ticket booking sites
  • Streaming or media subscriptions
  • Social media shops
  • Utilities, bill pay, or banking apps
  • Other
Q09
Opinion Scale

Imagine you are shopping online. A product page shows a 10-minute countdown timer, after which a discount will no longer be available. How acceptable do you find this design practice?

Scale: 17
Min:Completely unacceptableMax:Completely acceptable
Q10
Long Text

If you selected 'Other' above, please describe the transparency feature you value.

Q11
AI Interview

Based on your responses in this survey, please share any additional thoughts or feelings about persuasive design practices or transparency in your online experiences. Our AI moderator may ask a follow-up question to better understand your perspective.

Q12
Multiple Choice

What is your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q13
Opinion Scale

In the past 30 days, how often did you encounter a website or app design that felt misleading or manipulative (e.g., hidden fees, hard-to-cancel subscriptions, urgency messages)?

Scale: 15
Min:NeverMax:Very frequently
Q14
Opinion Scale

Imagine you are completing an online purchase. Additional fees (e.g., service charges or handling fees) appear for the first time on the final checkout step. How acceptable do you find this design practice?

Scale: 17
Min:Completely unacceptableMax:Completely acceptable
Q15
Opinion Scale

To what extent do clear, transparent practices influence your trust in a brand?

Scale: 17
Min:Not at allMax:To a very great extent
Q16
Long Text

If you selected 'Prefer to self-describe' above, please specify your gender.

Q17
Opinion Scale

Imagine you are about to check out online. An add-on product (e.g., extended warranty or accessory) has been pre-selected in your cart, increasing the total unless you remove it. How acceptable do you find this design practice?

Scale: 17
Min:Completely unacceptableMax:Completely acceptable
Q18
Ranking

When choosing which brand or website to purchase from, rank the following factors from most important (1) to least important (5).

  1. Price and value for money
  2. Product or service quality
  3. Ease of use
  4. Transparency and clarity of information
  5. Brand reputation and trustworthiness
Drag to rank
Q19
Dropdown

In which region do you currently live?

  • North America
  • Europe
  • Latin America
  • Asia
  • Africa
  • Oceania
  • Middle East
  • Prefer not to say
Q20
Opinion Scale

Thinking about the three scenarios you just rated, to what extent would encountering these practices reduce your likelihood of completing a purchase?

Scale: 17
Min:Would not reduce it at allMax:Would definitely stop me from purchasing
Q21
Dropdown

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
  • Postgraduate degree
  • Prefer not to say
Q22
Ranking

Please rank the following design practices from most concerning (1) to least concerning (6).

  1. Fees shown only at final checkout
  2. Hard-to-find unsubscribe or cancel steps
  3. Countdown timers or urgent messaging
  4. Low-stock or scarcity claims
  5. Pre-selected add-ons
  6. Ambiguous or unclear buttons
Drag to rank
Q23
Dropdown

What is your current employment status?

  • Employed full-time
  • Employed part-time
  • Self-employed
  • Unemployed and looking for work
  • Student
  • Retired
  • Homemaker or caregiver
  • 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.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • Includes three concrete dark-pattern scenarios (countdown timers, hidden fees, forced add-on defaults) rated on opinion scales, giving quantifiable acceptability data rather than generic satisfaction questions
  • Includes ranking exercises for both 'most concerning design practices' and 'purchase-decision factors', producing prioritized trust drivers instead of flat averages
  • Follows up automatically with an AI-moderated interview that probes the reasoning behind each respondent's ratings, surfacing the 'why' behind the scores
  • Captures self-described transparency preferences via open-text plus full demographic segmentation (age, region, education, employment) for cross-cut analysis

SurveySparrow

Product Design Survey Questionnaire | For Market Research

This is a fielding-ready generic product design/UX feedback questionnaire aimed at market research teams, not a dark-pattern or transparency-trust specific instrument. It's a reasonable adjacent template for product teams gathering general design feedback, but it doesn't address manipulative-design acceptability or trust-in-transparency questions directly.

What it does well

  • Ready-to-use, fieldable template built for product/UX design feedback
  • SurveySparrow's conversational survey format may improve completion rates
  • Positioned specifically for market research use by product teams

Where it falls short

  • Static question set with no adaptive AI follow-up to probe why respondents rate a design a certain way
  • No scenario-based dark-pattern testing (e.g., countdown timers, hidden fees, forced add-ons)
  • No automated per-response quality scoring or published prompt-level methodology

Ready to launch?

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

Related templates

More studies from the same category.

See all
Privacy & Compliance

Cross-Border Data Transfer Trust Assessment (GDPR)

Measures customer trust, comfort, and consent preferences regarding international personal data transfers. Use this instrument to identify key drivers of acceptance, benchmark transparency satisfaction, and inform GDPR-aligned communication strategies.

View template
Privacy & Compliance

Cookie Paywall Fairness & Consent Alternatives Survey

Measures consumer perceptions of fairness, transparency, and trust in cookie paywalls versus privacy-friendly content-access alternatives. Designed for UX researchers, privacy professionals, and publishers seeking GDPR-aligned consent insights.

View template
Privacy & Compliance

Cookie Consent Banner Fatigue & Control Preferences

Measures user fatigue with GDPR cookie consent banners and preferences for privacy control interfaces. Designed for UX researchers and compliance teams seeking to improve consent experiences based on real browsing behavior.

View template
Privacy & Compliance

AI Contract Review & Redlining Adoption Survey

Measures legal professionals' adoption levels, satisfaction, barriers, and safeguard requirements for AI-assisted contract review and redlining. Designed for legal operations, in-house teams, and law firm practitioners.

View template
Privacy & Compliance

GDPR Consent Copy & Preference Center Usability Study

A UX research instrument that evaluates clarity, trust, and usability of GDPR consent messages and privacy preference center controls through A/B stimulus comparison and behavioral preference measures.

View template
Privacy & Compliance

Vendor Security and Risk Assessment Questionnaire

Assesses a vendor's security controls, certifications, data handling, and incident history for procurement, security, and compliance teams running third-party risk reviews. An AI follow-up interview digs into the vendor's single most significant unresolved risk instead of accepting a checklist of certifications at face value.

View template