すべてのテンプレート
Operations & Data

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.

設問の例

テンプレートの内容をプレビューできます。すべての設問は公開前に自由に編集できます。

全32問・約13分
Q01
メッセージ

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
選択式

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
オピニオンスケール

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

スケール: 1 – 7
最小:No trust at all最大:Complete trust
Q04
選択式

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
オピニオンスケール

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

スケール: 1 – 5
最小:Never最大:Always
Q06
選択式

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
選択式

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
メッセージ

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
選択式

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
オピニオンスケール

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

スケール: 1 – 7
最小:Not at all confident最大:Completely confident
Q11
オピニオンスケール

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

スケール: 1 – 7
最小:Very low detail最大:Very high detail
Q12
オピニオンスケール

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

スケール: 1 – 5
最小:Never最大:Always
Q13
AIインタビュー

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
選択式

Which industry best describes your organization?

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

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
オピニオンスケール

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

スケール: 1 – 7
最小:Not at all confident最大:Completely confident
Q17
自由回答(長文)

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

Q18
オピニオンスケール

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

スケール: 1 – 5
最小:Never最大:Always
Q19
自由回答(長文)

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

Q20
選択式

Approximately how many employees does your organization have?

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

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
オピニオンスケール

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

スケール: 1 – 7
最小:Not at all confident最大:Completely confident
Q23
選択式

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
オピニオンスケール

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

スケール: 1 – 5
最小:Never最大:Always
Q25
選択式

Where is your primary work region?

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East & Africa
  • Multiple regions
Q26
オピニオンスケール

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

スケール: 1 – 7
最小:Not at all confident最大:Completely confident
Q27
プルダウン

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
選択式

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

  • Yes
  • No
Q29
選択式

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

  • Less than 1
  • 1–3
  • 4–7
  • 8–15
  • 16+
Q30
ランク付け

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
ドラッグして順位を付ける
Q31
選択式

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
選択式

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

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

含まれる機能

  • AIによる深掘り

    自由回答に合わせてAIが追加で質問し、固定のフォームでは拾えない具体的な内容を引き出します。

  • 注意確認設問

    急いだ回答や質の低い回答者を除外する仕組みを標準で備えています。

  • AIが作成する設問文

    文言、設問の順序、条件分岐をAIが調査の目的に合わせて作成します。

  • 自動レポート

    回答が集まると、テーマ、引用、わかりやすい要約が自動で作成されます。

他ツールとの比較

ほかのアンケートツールで最も近いテンプレートを調べました。それぞれの優れている点と、このテンプレートがさらに踏み込んでいる点をまとめています。

このテンプレートを選ぶ理由

  • 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.

優れている点

  • 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

物足りない点

  • 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.

優れている点

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

物足りない点

  • 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.

優れている点

  • 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

物足りない点

  • 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

よくあるご質問

「Supplier Provenance Trust & Data Transparency Assessment」テンプレートにはどのような設問が含まれていますか?

すぐに使える設問が32問含まれており、最初の設問は次のとおりです:「Welcome to this survey on supplier provenance claims and data transparency. This survey takes approximately 14 minutes.…」・「In the last 12 months, how often did you encounter supplier provenance claims?」・「Overall, how much do you trust the supplier provenance claims you encountered in the last 12 months?」。すべての設問は上でプレビューでき、自由に編集できます。

このアンケートの回答にはどのくらい時間がかかりますか?

回答者は通常、32問を約13分で回答し終えます。

テンプレートは編集できますか?

はい。公開前であれば、すべての設問、選択肢、順序を編集できます。設問の追加や削除のほか、調査の目的に合わせた作り直しをAIエディターに依頼することもできます。

このテンプレートは無料で使えますか?

はい。エディターで開けば、すぐに編集を始められます。お試しにアカウントは不要で、無料プランでアンケートを公開できます。

公開の準備はできましたか?

このテンプレートをエディターで開いてみてください。最初の回答者が目にする前に、すべてを自由に変更できます。

関連テンプレート

似たテーマのほかの調査もご覧ください。

すべて見る