Supplier Provenance Trust & Data Transparency Assessment
Measures B2B professionals' trust in supplier provenance claims, identifies data gaps and verification practices, and surfaces priorities for improving supply-chain transparency. Designed for procurement, quality, compliance, and supply-chain roles.
What's Included
AI-Powered Questions
Intelligent follow-up questions based on responses
Automated Analysis
Real-time sentiment and insight detection
Smart Distribution
Target the right audience automatically
Detailed Reports
Comprehensive insights and recommendations
Template Overview
32
Questions
AI-Powered
Smart Analysis
Ready-to-Use
Launch in Minutes
This professionally designed survey template helps you gather valuable insights with intelligent question flow and automated analysis.
Sample Survey Items
Q1
Chat Message
Welcome to this survey on supplier provenance claims and data transparency.
This survey takes approximately 8–10 minutes. Your participation is entirely voluntary, and you may stop at any time. There are no right or wrong answers — we are interested in your professional experience and opinions.
All responses are confidential, will be anonymized, and reported only in aggregate. Results will be used for internal research to improve supply-chain transparency practices.
By continuing, you agree to participate in this study.
Q2
Multiple Choice
In the last 12 months, how often did you encounter supplier provenance claims?
Weekly
Monthly
Quarterly
Once or twice
Not in the last 12 months
Q3
Multiple Choice
Why haven't provenance claims surfaced for you recently? Select all that apply.
Not applicable to my current products
Limited supplier communication on provenance
Lack of common standards
Verification costs are too high
Customers do not request it
Insufficient confidence in current claims
Other (please specify)
Q4
Multiple Choice
Which of the following activities do you personally handle related to provenance or traceability? Select all that apply.
Supplier qualification/selection
On-site audits/inspections
Compliance documentation review
Track-and-trace operations
Purchasing/sourcing
Contracts/legal terms
Quality assurance testing
Sustainability or ESG reporting
None of the above
Q5
Multiple Choice
When suppliers refer to "provenance," which of the following best matches your working definition?
Source geography and origin
Chain-of-custody back to raw inputs
Independent third-party certification of origin
Digital traceability (IDs, QR, blockchain)
Verified social/environmental attributes
Q6
Opinion Scale
Overall, how much do you trust the supplier provenance claims you encountered in the last 12 months?
Range: 1 – 7
Min: No trust at allMid: NeutralMax: Complete trust
Q7
Opinion Scale
How confident are you in the accuracy of the stated origin or source in supplier provenance claims?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Completely confident
Q8
Opinion Scale
How confident are you in the completeness of chain-of-custody documentation provided?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Completely confident
Q9
Opinion Scale
How confident are you in the authenticity of certifications presented alongside provenance claims?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Completely confident
Q10
Opinion Scale
How confident are you in the reliability of digital traceability data (e.g., lot IDs, QR codes, blockchain records)?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Completely confident
Q11
Ranking
Rank the following signals by how much they increase your trust in a supplier's provenance claim. Place the most influential signal at the top.
Drag to order (top = most important)
Recognized third-party certification
Digital traceability across the chain
On-site audit results
Detailed process documentation
Peer or customer references
Q12
Multiple Choice
Which types of data do you usually receive alongside provenance claims? Select all that apply.
Batch/lot identifiers
Timestamps by process step
Process or quality logs
Upstream supplier identifiers
Transport/shipping documents
Chain-of-custody diagrams
None of the above
Q13
Opinion Scale
How would you rate the level of detail in the provenance data typically provided by suppliers?
Range: 1 – 7
Min: Very low detailMid: NeutralMax: Very high detail
Q14
Long Text
In your experience, what provenance data is most often missing or incomplete?
Max chars
Q15
Multiple Choice
How do you usually validate supplier provenance claims? Select all that apply.
Cross-check with purchase orders/shipping documents
Sample-based physical testing
Request third-party verification
Supplier site audit
Rely on established relationship
Do not validate unless an issue arises
None of the above
Q16
Dropdown
Approximately how many hours per typical purchase order does your team spend validating provenance claims?
Less than 1 hour
1–2 hours
3–5 hours
6–10 hours
11–20 hours
More than 20 hours
We do not track this
Q17
Opinion Scale
How often do provenance claims influence your supplier selection or qualification decisions?
Range: 1 – 5
Min: NeverMid: NeutralMax: Always
Q18
Opinion Scale
How often do provenance claims influence your contract renewal or negotiation decisions?
Range: 1 – 5
Min: NeverMid: NeutralMax: Always
Q19
Opinion Scale
How often do provenance claims influence your product acceptance or rejection decisions?
Range: 1 – 5
Min: NeverMid: NeutralMax: Always
Q20
Opinion Scale
How often do provenance claims influence your compliance or regulatory reporting?
Range: 1 – 5
Min: NeverMid: NeutralMax: Always
Q21
Multiple Choice
In the last 12 months, did you formally dispute any supplier provenance claim?
Yes
No
Q22
Multiple Choice
What was the primary outcome of the most recent provenance dispute?
Claim withdrawn and corrected by supplier
Partial discrepancy resolved
Unresolved/no agreement
Switched supplier
Other (please specify)
Q23
Multiple Choice
Which of the following improvements would most increase your trust in supplier provenance claims going forward? Select all that apply.
Batch-level traceability across tiers
Independent certification from recognized bodies
Standardized data formats (e.g., EPCIS)
Real-time data access (API/portal)
Tamper-evident packaging/technologies
Clear chain-of-custody diagrams
Supplier training on data quality
Contractual warranties/penalties
Other (please specify)
Q24
AI Interview
We'd like to explore your experiences with provenance data in a bit more depth. An AI moderator will ask you a couple of follow-up questions based on your earlier answers.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 5
Q25
Long Text
Based on your responses in this survey, is there anything else you would like to share about provenance claims or data transparency?
Max chars
Q26
Multiple Choice
Which of the following best describes your primary role?
Procurement/Sourcing
Quality (QA/QC)
Supply Chain/Operations
Compliance/Regulatory
Sustainability/ESG
Legal/Contracts
IT/Data
Executive/Leadership
Other (please specify)
Q27
Multiple Choice
Which industry best describes your organization?
Food & Beverage
Consumer Goods
Pharmaceuticals/Life Sciences
Automotive/Industrial
Electronics
Apparel/Textiles
Chemicals/Materials
Other (please specify)
Q28
Multiple Choice
Approximately how many employees does your organization have?
1–49
50–249
250–999
1,000–4,999
5,000+
Q29
Multiple Choice
Where is your primary work region?
North America
Europe
Asia-Pacific
Latin America
Middle East & Africa
Multiple regions
Q30
Multiple Choice
How many years of experience do you have in your current field?
Less than 1
1–3
4–7
8–15
16+
Q31
Multiple Choice
Which of the following best describes your organization's typical relationship to suppliers?
Direct manufacturer
Distributor/Wholesaler
Retailer
Service provider
Other (please specify)
Q32
Chat Message
Thank you for completing this survey — your insights will help improve provenance practices and data transparency across supply chains. Your responses are confidential and will be reported only in aggregate.
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