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Consumer Data Trust & Privacy Perceptions Survey

Measures consumer trust in organizational data handling, breach response expectations, and permission transparency. Use with general consumer panels to benchmark trust levels and identify priority improvements for privacy practices.

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Sample questions

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

17 questions · ~8 min
Q01
Message

Welcome to this survey on data privacy and trust. This survey asks about your experiences with how companies handle personal data, respond to breaches, and request permissions. There are no right or wrong answers — we are interested in your honest opinions. Your responses are confidential and will be reported only in aggregate. Participation is voluntary and you may stop at any time. Estimated time: 6–8 minutes.

Q02
Dropdown

In the past 3 months, how often did you use online accounts that store your personal information (e.g., email, shopping, banking)?

  • Several times a day
  • About once a day
  • A few times a week
  • About once a week
  • Less than weekly
  • Not in the past 3 months
Q03
Opinion Scale

Overall, in the past 3 months, how much did you trust companies to handle your personal data responsibly?

Scale: 1 – 7
Min:Not at allMax:A great deal
Q04
Opinion Scale

How confident are you that companies you use would notify you promptly if a data breach affected your personal information?

Scale: 1 – 7
Min:Not at all confidentMax:Extremely confident
Q05
Opinion Scale

How transparent were the permission requests you encountered from apps or websites in the past 3 months?

Scale: 1 – 7
Min:Not at all transparentMax:Extremely transparent
Q06
Long Text

Based on your responses in this survey, what one change would most improve your trust in how companies handle your personal data?

Q07
Dropdown

What is your age?

  • 18–24
  • 25–34
  • 35–44
  • 45–54
  • 55–64
  • 65+
  • Prefer not to say
Q08
Message

Thank you for completing this survey. Your responses will help improve data transparency and privacy practices. You may now close this page.

Q09
Opinion Scale

How clear were the privacy notices and data-use explanations you encountered in the past 3 months?

Scale: 1 – 7
Min:Not at all clearMax:Extremely clear
Q10
Multiple Choice

Which actions would most increase your confidence in a company's response to a data breach? Select up to 3.

  • Notify affected users within 72 hours
  • Explain clearly what happened and why
  • Identify exactly what personal data was affected
  • Provide clear next steps I can take
  • Offer a dedicated support contact
  • Issue regular status updates until resolved
  • Offer remediation such as credit monitoring
  • Publish an independent post-incident report
Q11
Ranking

Rank the following controls from the one you trust most to the one you trust least for managing app or website permissions.

  1. Operating system or device permission controls
  2. In-app privacy or settings menu
  3. Account-level security and privacy dashboard
  4. Per-permission prompts at install or first use
  5. App store permissions summary
Drag to rank
Q12
AI Interview

We'd like to explore your views on data trust and privacy in a bit more depth. An AI moderator will ask you a couple of follow-up questions based on your earlier responses.

Q13
Dropdown

Which best describes your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer not to say
Q14
Ranking

Rank the following types of personal data from the one you are most comfortable with companies collecting to the one you are least comfortable with.

  1. Name and contact information
  2. Location or GPS data
  3. Browsing and search history
  4. Financial or payment information
  5. Health or biometric data
  6. Social media activity
Drag to rank
Q15
Dropdown

In which region do you currently live?

  • Africa
  • Asia
  • Europe
  • North America
  • South America
  • Oceania
  • Prefer not to say
Q16
Dropdown

What is the highest level of education you have completed?

  • Less than high school
  • High school or equivalent
  • Some college, no degree
  • Associate degree
  • Bachelor's degree
  • Master's degree
  • Doctorate or professional degree
  • Prefer not to say
Q17
Dropdown

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.

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

  • Directly measures trust in data handling, breach-response confidence, and permission/notice transparency rather than general consumer behavior
  • Includes ranking exercises for both data-type sensitivity and trust in specific privacy controls, giving concrete prioritization data
  • Includes an adaptive AI follow-up interview that can probe open-ended answers on privacy concerns in real time, something static templates cannot do
  • Captures a final open-text 'what one change would most improve your trust' question plus demographics, enabling segmented benchmarking and auto-generated reporting

SurveyMonkey

Consumer Behavior Survey Template

This is a general-purpose consumer behavior template focused on purchasing habits and brand engagement rather than data privacy or trust specifically. It's a ready-to-field static form on a well-established survey platform, useful for broad consumer research but not purpose-built for privacy/trust benchmarking. Teams wanting privacy-specific insight would need to heavily customize the question set themselves.

What it does well

  • Backed by a widely recognized survey platform with broad panel distribution options
  • Quick to deploy for general consumer research needs
  • Familiar interface likely lowers setup time for standard behavior questions

Where it falls short

  • No adaptive AI follow-up questioning — responses are fixed, so nuanced privacy concerns can't be probed further
  • Not designed around data trust, breach response, or permission transparency, so relevant questions would need to be built from scratch
  • No published methodology for question design or automated per-response quality scoring

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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