Supply Chain Transparency Trust & Priorities Survey
Measures how much customers trust your supply chain claims, which transparency details (sourcing, labor, environmental impact, certifications) actually matter to them, and what they'd pay for verified information — with an AI follow-up that digs into the real story behind a specific trust or mistrust moment.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
In the last 3 months, have you looked up where a product you bought from (Replace with Your Brand) was made or sourced?
- Yes, I looked it up myself
- Yes, someone else told me or I saw it mentioned
- No, but I've thought about it
- No, it hasn't crossed my mind
How much do you trust the claims (Replace with Your Brand) makes about where and how its products are made?
How much do you agree with each statement about (Replace with Your Brand)'s supply chain communication?
- It's easy to find where products are made
- It's clear who audits factory or farm conditions
- Environmental impact information is easy to understand
- I believe the information is accurate, not just marketing
When it comes to supply chain information, which of the following matters most to you, and which matters least?
- Raw material or ingredient origin
- Factory or farm labor conditions
- Environmental footprint of production
- Independent third-party certifications
- Shipping and transportation carbon footprint
- Supplier or factory diversity
- Pricing and cost breakdown
- Animal welfare standards (if applicable)
Thinking about a version of a product with fully verified, third-party-audited sourcing information attached:
- At what price would this verified version be so cheap you'd doubt the verification is real?
- At what price would this verified version be a bargain — a great deal for the transparency you're getting?
- At what price would this verified version start to feel expensive, though you'd still consider it?
- At what price would this verified version be too expensive for you to consider, regardless of the verification?
Overall, how satisfied are you with how much (Replace with Your Brand) currently shares about its supply chain?
Which of these would you trust most to confirm a supply chain claim is true? Select all that apply.
- Independent third-party certification logos
- A traceability tool (e.g., scan a code to see the factory or farm)
- News coverage or independent journalism
- Reviews from other customers
- The brand's own website or app statements
- Government or regulatory disclosures
Ask the respondent to describe one specific moment when they trusted, or didn't trust, a supply chain claim from any brand — what the claim was, what made it believable or suspicious, and what they did next (bought, avoided, researched further). Anchor on their rating scale answer for trust and probe any gap between what they say matters most in the prioritization exercise and what actually drove that real moment. If they say they've never thought about it, ask what would make them start paying attention.
Is there anything specific about how (Replace with Your Brand) products are made or sourced that you wish you knew but currently don't?
How often do you personally purchase products marketed as 'ethically sourced' or 'sustainably made', across any brand?
- Most of my purchases
- Regularly, but not most
- Occasionally
- Rarely or never
Which age range do you fall into?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
- Prefer not to say
That's the last question — thank you! Your answers will help (Replace with Your Brand) decide what supply chain information to share, in what format, and where to invest in verification.
포함된 기능
AI 후속 질문
정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.
주의력 확인 장치
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 an AI follow-up interview that probes the specific story behind a customer's trust or mistrust moment, going beyond static rating questions
- Combines a MaxDiff exercise and Van Westendorp pricing question to identify which transparency details (sourcing, labor, environmental impact, certifications) matter most and what verified information is worth paying for
- Pairs an opinion scale and agreement matrix on trust with a multiple-choice question on which verification sources (e.g., third-party audits) customers actually trust
- Closes with open-ended long-text and demographic questions, all rolled into an auto-generated report without requiring manual analysis
SurveyMonkey
Supply Chain Transparency Survey TemplateThis is a directly comparable, fielding-ready template covering supply chain transparency perceptions. It's built on SurveyMonkey's standard static question format, so it can capture ratings and rankings but not adapt to individual respondents. Good for benchmarking broad sentiment quickly, but shallow on the 'why' behind answers.
잘하는 점
- Purpose-built specifically for supply chain transparency, so questions are topically aligned
- Backed by SurveyMonkey's large-scale survey distribution and benchmarking tools
- Easy to launch quickly given SurveyMonkey's familiar template library
아쉬운 점
- Static question set with no adaptive follow-up to dig into a specific trust or mistrust moment
- No built-in mechanism to test willingness-to-pay for verified information (e.g., no pricing-sensitivity question type)
- No transparent, publishable methodology showing how any follow-up or scoring logic works, since there isn't any
Jotform
Manufacturing Supply Chain Form TemplateThis is an operational data-collection form for manufacturing/supply chain logistics rather than a customer trust and perception survey, so it serves a different use case than QuestionPunk's template. It's useful for internal supply chain documentation, not for measuring customer attitudes or pricing sensitivity. Worth including only as a form-builder reference point, not a direct research competitor.
잘하는 점
- Flexible drag-and-drop form builder good for internal operational data capture
- Wide library of templates across many industries beyond supply chain
- Easy integrations for routing submitted form data
아쉬운 점
- Built for operational/logistics data entry, not customer trust or transparency-priority research
- No adaptive AI interviewing or voice AI capability to explore a respondent's specific experience
- No per-response quality scoring or auto-generated insight reporting
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.