Q01
Long Text
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Data Clean Room Adoption & Trust Assessment
Measures marketing professionals' awareness, trust, perceived accuracy, and adoption barriers related to data clean rooms for measurement. Ideal for ad tech vendors, industry bodies, or research teams benchmarking clean room sentiment.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
27 questions · ~4 min
Q02
Multiple Choice
Which of the following best describes your involvement in measurement or data clean room decisions at your organization?
Q03
Multiple Choice
Which of the following best describes your familiarity with and current stance on data clean rooms for marketing measurement?
Q04
Long Text
For context: A data clean room is a secure environment where multiple parties can combine and analyze data under strict privacy controls. Raw, user-level data is never directly shared — only approved queries producing aggregated outputs are permitted, supporting use cases such as measurement and audience analysis.
Q05
Multiple Choice
What are the main reasons your organization is not currently planning to use a data clean room? Select all that apply.
Q06
Multiple Choice
Which of the following measurement use cases does your organization currently run in a data clean room? Select all that apply.
Q07
Long Text
Thinking about the past 6 months, how much do you trust the measurement results produced through data clean rooms?
Q08
Long Text
How accurate do you believe data clean room outputs are today for attribution or contribution analysis?
Q09
Multiple Choice
Which of the following would most increase your trust in clean-room-based measurement? Select up to three.
Q10
Long Text
Please rank the following obstacles to reliable clean-room measurement for your organization, from biggest obstacle (1) to smallest.
Q11
Multiple Choice
Over the next 12 months, how do you expect your organization's investment in data clean-room-based measurement to change?
Q12
Long Text
Based on your responses throughout this survey, what is the single biggest change that would increase your trust or comfort with data clean room measurement?
Q13
Multiple Choice
Which of the following best describes your organization?
Q14
Long Text
Thank you for completing this survey! Your insights will help shape how the industry approaches data clean room measurement. All responses will be reported only in aggregate, and your individual answers will remain confidential.
Q15
Multiple Choice
Based on the definition above, how interested are you in exploring or evaluating a data clean room for your organization this year?
Q16
Long Text
How comfortable would you be sharing your organization's first-party data in a clean room operated by a major platform (e.g., Google, Meta, Amazon)?
Q17
Long Text
How accurate do you believe data clean room outputs are today for incrementality or lift testing?
Q18
Long Text
Please rank the following outcomes you value most from data clean rooms, from most valuable (1) to least valuable.
Q19
AI Interview
We'd like to understand your experience with data clean rooms in a bit more depth. Please share your thoughts on what has shaped your current views, and we may ask a couple of follow-up questions.
Q20
Multiple Choice
Which of the following best describes your primary role?
Q21
Long Text
How comfortable would you be sharing your organization's first-party data in a clean room operated by an independent third-party provider?
Q22
Long Text
How accurate do you believe data clean room outputs are today for reach and frequency measurement?
Q23
Multiple Choice
In which region is your organization primarily based?
Q24
Long Text
How comfortable would you be sharing your organization's first-party data in a clean room operated and managed by your own organization?
Q25
Multiple Choice
Approximately how many employees does your organization have?
Q26
Multiple Choice
What is your organization's approximate annual media spend?
Q27
Multiple Choice
How many years of experience do you have in marketing or analytics?
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.