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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.

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AI-Powered Questions

Intelligent follow-up questions based on responses

Automated Analysis

Real-time sentiment and insight detection

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Detailed Reports

Comprehensive insights and recommendations

Template Overview

24

Questions

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This professionally designed survey template helps you gather valuable insights with intelligent question flow and automated analysis.

Sample Survey Items

Q1
Chat Message
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.
Q2
Multiple Choice
In the past 12 months, have you personally used, reviewed, or made decisions based on multi-touch attribution data or results?
  • Yes
  • No
Q3
Multiple Choice
Which of the following attribution or measurement approaches has your organization used in the past 12 months? Select all that apply.
  • Multi-touch attribution (rules-based)
  • Multi-touch attribution (algorithmic/data-driven)
  • Marketing mix modeling (MMM)
  • Last-click attribution
  • First-touch attribution
  • Position-based/heuristic models
  • None of the above
  • Not sure
Q4
Multiple Choice
How is MTA primarily delivered in your organization?
  • Vendor product
  • In-house model
  • Agency-provided
  • Combination of approaches
  • Not sure
Q5
Multiple Choice
How would you describe your involvement in decisions informed by MTA?
  • I make final decisions
  • I influence decisions
  • I consume results but don't decide
  • I implement/operate MTA
  • Not involved
Q6
Opinion Scale
Over the past 3 months, how much did you trust the MTA results you used to inform decisions?
Range: 1 7
Min: Not at allMid: NeutralMax: Completely
Q7
Opinion Scale
Looking ahead, how confident are you that MTA will produce reliable results for your organization?
Range: 1 7
Min: Not at all confidentMid: NeutralMax: Extremely confident
Q8
Multiple Choice
In the past 3 months, how often did MTA results disagree with other measurement approaches (e.g., MMM, experiments)?
  • Never
  • Rarely (less than monthly)
  • Sometimes (about monthly)
  • Often (weekly or more)
  • Not applicable—did not compare
Q9
Ranking
Rank the following potential biases in MTA from most concerning to least concerning in your context. Drag the most concerning to the top.
Drag to order (top = most important)
  1. Over-crediting branded search or direct traffic
  2. Self-attribution by walled gardens
  3. Incomplete tracking due to privacy/consent gaps
  4. Recency bias toward last touches
  5. Touchpoint inflation from ad stacking/high frequency
  6. Model overfitting or instability
  7. Selection bias in conversion data
Q10
Long Text
Please share a brief example of how bias in MTA has shown up in your work and what impact it had.
Max chars
Q11
Multiple Choice
Which of the following steps has your organization taken to reduce bias in MTA outputs? Select all that apply.
  • Apply lookback windows or decay functions
  • Exclude brand search or direct from credit
  • Deduplicate conversions across platforms
  • Calibrate with MMM or causal lift studies
  • Run holdouts or geo experiments
  • Commission independent or vendor audit
  • Review model transparency and features
  • Data quality checks (consent, IDs, events)
  • Other (please specify)
  • None of the above
Q12
Multiple Choice
Which of the following would meaningfully increase your confidence in MTA results? Select all that apply.
  • Transparent methodology and assumptions
  • Third-party audit or validation
  • Alignment with MMM or causal lift studies
  • Regular back-testing and out-of-sample validation
  • Access to raw signals and feature importances
  • Better identity resolution or clean-room integrations
  • Clear conversion deduplication policy
  • Geo or cell-level experiments
  • Other (please specify)
Q13
Ranking
Rank the following evidence sources by how much they increase your trust in MTA results. Drag the most trust-building source to the top.
Drag to order (top = most important)
  1. First-party site/app analytics
  2. Ad platform logs
  3. CRM/transactional data
  4. Offline sales data
  5. Experiments/holdouts
  6. Third-party measurement
  7. Panel/survey data
Q14
Ranking
Rank the following areas by how much MTA influences your decisions. Drag the most influenced area to the top.
Drag to order (top = most important)
  1. Budget allocation across channels
  2. Channel and media mix planning
  3. Bidding and optimization
  4. Audience and targeting
  5. Creative and messaging
  6. Experiment design and validation
  7. Reporting and KPI setting
Q15
Dropdown
What minimum confidence level do you typically require before acting on MTA findings?
  • Below 50%
  • 50–59%
  • 60–69%
  • 70–79%
  • 80–89%
  • 90–95%
  • Above 95%
  • I don't use a specific threshold
  • Not sure
Q16
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.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 7
Q17
Long Text
Based on your responses in this survey, please share any additional thoughts about trust or bias in MTA at your organization.
Max chars
Q18
Multiple Choice
Which of the following best describes your primary role?
  • Marketing leadership
  • Performance marketing
  • Growth/Acquisition
  • Data science/Analytics
  • Media/Activation
  • Product/MarTech
  • Consultant/Agency
  • Other (please specify)
Q19
Multiple Choice
How many years of experience do you have working with attribution or MTA?
  • Less than 1 year
  • 1–2 years
  • 3–4 years
  • 5–7 years
  • 8+ years
Q20
Multiple Choice
Approximately how many employees does your company have?
  • 1–49
  • 50–249
  • 250–999
  • 1,000–4,999
  • 5,000+
Q21
Multiple Choice
What is your organization's approximate annual paid media spend?
  • Under $1M
  • $1M–$4.9M
  • $5M–$19.9M
  • $20M–$99.9M
  • $100M+
  • Prefer not to say
Q22
Multiple Choice
In which region is your organization primarily based?
  • North America
  • Latin America
  • Europe
  • Middle East & Africa
  • Asia-Pacific
  • Other
Q23
Multiple Choice
Which industry best describes your organization?
  • Retail/E-commerce
  • Consumer services
  • B2B/Enterprise
  • Technology/Software
  • Media/Entertainment
  • Financial services
  • Travel/Hospitality
  • Healthcare/Pharma
  • Other
  • Prefer not to say
Q24
Chat Message
Thank you for completing this survey—your insights are greatly appreciated and will help improve MTA measurement practices.

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