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Multi-Touch Attribution Trust & Bias Assessment

Measures marketer trust in multi-touch attribution outputs and identifies perceived channel biases. Designed for marketing, analytics, and media professionals who work with attribution data to inform budget and optimization decisions.

Sample questions

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

24 questions · ~4 min
Q01
Long Text

Welcome! This survey explores your experience with multi-touch attribution (MTA) and how it informs your marketing decisions. It should take approximately 5–7 minutes to complete. Your participation is entirely voluntary, and you may stop at any time. There are no right or wrong answers—we are interested in your honest opinions. All responses are confidential and will be reported only in aggregate. Results will be used for internal research to improve measurement practices. Please answer based on your experience over the past 3–6 months.

Q02
Multiple Choice

In the past 12 months, have you personally used, reviewed, or made decisions based on multi-touch attribution data or results?

Q03
Multiple Choice

Which of the following attribution or measurement approaches has your organization used in the past 12 months? Select all that apply.

Q04
Long Text

Over the past 3 months, how much did you trust the MTA results you used to inform decisions?

Q05
Long Text

Rank the following potential biases in MTA from most concerning to least concerning in your context. Drag the most concerning to the top.

Q06
Multiple Choice

Which of the following steps has your organization taken to reduce bias in MTA outputs? Select all that apply.

Q07
Long Text

Rank the following evidence sources by how much they increase your trust in MTA results. Drag the most trust-building source to the top.

Q08
AI Interview

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

Q09
Multiple Choice

Which of the following best describes your primary role?

Q10
Long Text

Thank you for completing this survey—your insights are greatly appreciated and will help improve MTA measurement practices.

Q11
Multiple Choice

How is MTA primarily delivered in your organization?

Q12
Long Text

Looking ahead, how confident are you that MTA will produce reliable results for your organization?

Q13
Long Text

Please share a brief example of how bias in MTA has shown up in your work and what impact it had.

Q14
Multiple Choice

Which of the following would meaningfully increase your confidence in MTA results? Select all that apply.

Q15
Long Text

Rank the following areas by how much MTA influences your decisions. Drag the most influenced area to the top.

Q16
Long Text

Based on your responses in this survey, please share any additional thoughts about trust or bias in MTA at your organization.

Q17
Multiple Choice

How many years of experience do you have working with attribution or MTA?

Q18
Multiple Choice

How would you describe your involvement in decisions informed by MTA?

Q19
Multiple Choice

In the past 3 months, how often did MTA results disagree with other measurement approaches (e.g., MMM, experiments)?

Q20
Long Text

What minimum confidence level do you typically require before acting on MTA findings?

Q21
Multiple Choice

Approximately how many employees does your company have?

Q22
Multiple Choice

What is your organization's approximate annual paid media spend?

Q23
Multiple Choice

In which region is your organization primarily based?

Q24
Multiple Choice

Which industry best describes your organization?

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.