User Trust in Platform Transparency Reports
Measures how users interpret, trust, and engage with online platforms' transparency reports. Designed for researchers and compliance teams evaluating perceived clarity, credibility, and improvement opportunities.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
Before today, had you heard of transparency reports published by online platforms?
- Yes
- No
- Not sure
<p>Please read the following fictional excerpt from a transparency report.</p><p>---</p><p><strong>Sample Transparency Report (Fictional)</strong></p><p>Reporting period: January–June 2024</p><p>Reports reviewed: 50,000</p><p>Actions taken: 12,000 account suspensions; 20,000 content removals</p><p>Violation categories: Spam (45%), Harassment (25%), Hate speech (18%), Child safety (12%)</p><p>---</p><p>The next few questions will ask about this excerpt.</p>
Overall, how much do you trust transparency reports published by online platforms?
To what extent do you agree or disagree: Transparency reports help hold online platforms accountable for their decisions.
Which features would most improve your understanding of transparency reports? Select up to three.
- Key takeaways summary
- Charts and visuals
- Methodology notes
- Examples of enforcement actions
- Raw data download
- Glossary of terms
- Search and filter tools
- Comparative trends over time
- Other
Based on your responses in this survey, what single change would most increase your trust in or understanding of transparency reports?
What is your age?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Thank you for completing this survey. Your responses have been recorded and will contribute to research on how transparency reports can better serve users. We appreciate your time.
For this survey, 'transparency reports' refer to periodic summaries published by online platforms detailing their policy enforcement activities (e.g., content removals, account actions, appeals outcomes, government data requests).
When did you last read or review a transparency report from an online platform?
- In the last 30 days
- 31–90 days ago
- 3–6 months ago
- More than 6 months ago
- I have not read one
- Not sure
According to the excerpt you just read, how many account suspensions were reported?
- 5,000
- 12,000
- 20,000
- 50,000
How confident are you that transparency reports accurately reflect what platforms are actually doing?
To what extent do you agree or disagree: Transparency reports are published frequently enough to be useful.
We'd like to explore your thoughts on transparency reports in a bit more depth. An AI moderator will ask you a couple of follow-up questions based on your earlier responses.
Which of the following best describes your gender?
- Woman
- Man
- Non-binary
- Prefer not to say
Which platforms' transparency reports have you read or reviewed? Select all that apply.
- Meta (Facebook/Instagram)
- Google/YouTube
- X (Twitter)
- TikTok
- Microsoft/LinkedIn
- Snapchat
- Apple
- None of these
- Other
- Not sure
Which violation category had the highest percentage in the excerpt?
- Spam
- Harassment
- Hate speech
- Child safety
How likely are you to read the next transparency report you come across?
To what extent do you agree or disagree: The data in transparency reports is detailed enough for me to draw my own conclusions.
In which country do you currently reside?
- United States
- United Kingdom
- Canada
- Australia
- India
- Other
- Prefer not to say
How clear was the example excerpt overall?
To what extent do you agree or disagree: I believe online platforms selectively present data in transparency reports to make themselves look better.
What is the highest level of education you have completed?
- Less than high school
- High school or equivalent
- Some college / associate degree
- Bachelor's degree
- Postgraduate degree
- Prefer not to say
What is your current employment status?
- Employed full-time
- Employed part-time
- Self-employed
- Student
- Unemployed
- Retired
- Homemaker / 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 a built-in comprehension check (fictional transparency report excerpt with follow-up multiple-choice questions) to test actual clarity, not just self-reported clarity.
- Captures a full trust/credibility profile via multiple opinion-scale items (trust, confidence in accuracy, perceived frequency/detail, suspicion of selective reporting) rather than a single satisfaction score.
- Adds a dedicated AI follow-up interview segment to probe open-ended reasoning behind ratings, something no static form in this space offers.
- Ends with a structured open-text question on the single change that would most increase trust, plus standard demographics, giving compliance teams both quantitative and qualitative improvement signals.
SurveyMonkey
Supply Chain Transparency Survey TemplateThis is a static, fielding-ready template, but it's built for supply chain transparency (suppliers, sourcing, ethics), not user perceptions of platform transparency reports. It's useful as a general transparency-survey structure but not purpose-built for this template's compliance/trust-in-reporting use case.
What it does well
- Established survey platform with broad distribution and panel options
- Pre-built question set saves setup time for a related transparency topic
- Easy to customize wording for adjacent transparency use cases
Where it falls short
- Fixed question set with no adaptive AI follow-up probing on trust or credibility reasoning
- No voice AI interview or guided screen-share task option
- No automated per-response quality scoring or transparent prompt methodology, and topic focus is supply chain rather than platform transparency reports
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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