모든 템플릿

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.

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질문 32개 · 약 13분
Q01
메시지

Welcome to this survey on supplier provenance claims and data transparency. This survey takes approximately 14 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.

Q02
객관식

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
Q03
의견 척도

Overall, how much do you trust the supplier provenance claims you encountered in the last 12 months?

척도: 17
최소:No trust at all최대:Complete trust
Q04
객관식

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
Q05
의견 척도

How often do provenance claims influence your supplier selection or qualification decisions?

척도: 15
최소:Never최대:Always
Q06
객관식

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)
Q07
객관식

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)
Q08
메시지

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.

Q09
객관식

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)
Q10
의견 척도

How confident are you in the accuracy of the stated origin or source in supplier provenance claims?

척도: 17
최소:Not at all confident최대:Completely confident
Q11
의견 척도

How would you rate the level of detail in the provenance data typically provided by suppliers?

척도: 17
최소:Very low detail최대:Very high detail
Q12
의견 척도

How often do provenance claims influence your contract renewal or negotiation decisions?

척도: 15
최소:Never최대:Always
Q13
AI 인터뷰

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.

Q14
객관식

Which industry best describes your organization?

  • Food & Beverage
  • Consumer Goods
  • Pharmaceuticals/Life Sciences
  • Automotive/Industrial
  • Electronics
  • Apparel/Textiles
  • Chemicals/Materials
  • Other (please specify)
Q15
객관식

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
Q16
의견 척도

How confident are you in the completeness of chain-of-custody documentation provided?

척도: 17
최소:Not at all confident최대:Completely confident
Q17
장문형

In your experience, what provenance data is most often missing or incomplete?

Q18
의견 척도

How often do provenance claims influence your product acceptance or rejection decisions?

척도: 15
최소:Never최대:Always
Q19
장문형

Based on your responses in this survey, is there anything else you would like to share about provenance claims or data transparency?

Q20
객관식

Approximately how many employees does your organization have?

  • 1–49
  • 50–249
  • 250–999
  • 1,000–4,999
  • 5,000+
Q21
객관식

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
Q22
의견 척도

How confident are you in the authenticity of certifications presented alongside provenance claims?

척도: 17
최소:Not at all confident최대:Completely confident
Q23
객관식

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
Q24
의견 척도

How often do provenance claims influence your compliance or regulatory reporting?

척도: 15
최소:Never최대:Always
Q25
객관식

Where is your primary work region?

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East & Africa
  • Multiple regions
Q26
의견 척도

How confident are you in the reliability of digital traceability data (e.g., lot IDs, QR codes, blockchain records)?

척도: 17
최소:Not at all confident최대:Completely confident
Q27
드롭다운

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
Q28
객관식

In the last 12 months, did you formally dispute any supplier provenance claim?

  • Yes
  • No
Q29
객관식

How many years of experience do you have in your current field?

  • Less than 1
  • 1–3
  • 4–7
  • 8–15
  • 16+
Q30
순위 매기기

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.

  1. Recognized third-party certification
  2. Digital traceability across the chain
  3. On-site audit results
  4. Detailed process documentation
  5. Peer or customer references
드래그하여 순위 지정
Q31
객관식

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)
Q32
객관식

Which of the following best describes your organization's typical relationship to suppliers?

  • Direct manufacturer
  • Distributor/Wholesaler
  • Retailer
  • Service provider
  • Other (please specify)

포함된 기능

  • AI 후속 질문

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    성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.

  • AI가 작성한 문안

    문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.

  • 자동 리포트

    응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

  • Includes dedicated opinion-scale batteries measuring confidence in origin accuracy, chain-of-custody completeness, certification authenticity, and traceability data reliability — not just a single trust rating
  • Uses an AI follow-up interview to probe deeper into respondents' real experiences with provenance data after the structured questions, surfacing detail static forms can't reach
  • Captures operational specifics like hours spent per purchase order validating claims, ranking of trust signals, and which data types are actually received alongside claims
  • Segments by role, industry, company size, region, and supply-chain relationship, plus tracks formal disputes and their outcomes for a fuller transparency picture

SurveyMonkey

Supply Chain Transparency Survey Template

A fielding-ready template focused broadly on supply chain transparency perceptions. It benefits from SurveyMonkey's mature distribution and analytics tooling, but the template itself is a fixed question set rather than one tailored to provenance-specific trust dimensions like chain-of-custody or certification authenticity.

잘하는 점

  • Ready-to-deploy template on an established survey platform
  • Likely benefits from SurveyMonkey's broad panel/distribution and reporting tools
  • Topic framing aligns generally with supply-chain transparency research

아쉬운 점

  • Static question set with no adaptive follow-up probing into individual responses
  • No indication of role-specific segmentation for procurement/quality/compliance functions
  • No published methodology or prompt transparency for how questions were derived

SurveySparrow

Supplier Assessment Questionnaire Template

This template centers on general supplier performance assessment rather than provenance claims or data-transparency verification specifically. It's a usable fielding template with SurveySparrow's conversational UI, but overlaps with our topic only partially, missing the provenance-trust and dispute-tracking angle.

잘하는 점

  • Conversational, chat-style form UI that may improve completion rates
  • Ready-to-use structure for general supplier evaluation
  • Fits procurement-adjacent audiences

아쉬운 점

  • No adaptive AI interviewing to explore individual respondent reasoning
  • Broader supplier-performance focus rather than provenance/traceability specifics
  • No per-response quality scoring or automated report generation mentioned

QuestionPro

Supplier Service Evaluation Survey Questions + Sample Questionnaire Template

This is primarily a supplier service/performance evaluation template with sample questions, not a provenance or data-transparency instrument. Useful as a general reference questionnaire, but it doesn't address trust in origin claims, certification authenticity, or chain-of-custody documentation.

잘하는 점

  • Provides sample questions as a starting reference for supplier evaluation
  • Established survey platform with standard reporting features
  • Applicable to general vendor/service scoring use cases

아쉬운 점

  • No adaptive or voice AI interviewing capability
  • Focus on service evaluation rather than provenance trust or data-gap identification
  • No transparent prompt methodology or automated per-response quality scoring

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