모든 템플릿

Consumer Trust in Green Claims & Evidence Preferences

Measures consumer credibility perceptions of environmental claims, preferred evidence types, and greenwashing experiences to inform sustainability messaging strategy.

샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 20개 · 약 9분
Q01
메시지

Welcome! This survey explores how people perceive and evaluate environmental claims on products and services. It should take approximately 7–8 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 anonymous and will be reported only in aggregate. By continuing, you agree to participate in this research.

Q02
객관식

In the past 3 months, have you noticed any environmental or green claims on products while shopping or browsing online?

  • Yes
  • No
  • Not sure
Q03
의견 척도

How credible does the term "eco-friendly" seem to you when used on a product?

척도: 17
최소:Not at all credible최대:Extremely credible
Q04
객관식

In the past 12 months, have you felt misled by a green or environmental claim made by a brand or product?

  • Yes
  • No
  • Not sure
Q05
순위 매기기

Rank the following types of evidence from most convincing (top) to least convincing (bottom) when evaluating a green claim.

  1. Independent certification logo (e.g., Fair Trade, B Corp)
  2. Summary of the product's total environmental impact
  3. Verified pollution or carbon footprint data
  4. QR code linking to detailed methodology
  5. Real-world case studies or usage examples
  6. The brand's own explanation of the claim
드래그하여 순위 지정
Q06
순위 매기기

When choosing a product that includes a green claim, rank the following factors from most important (top) to least important (bottom).

  1. Price
  2. Product performance or quality
  3. Brand trust
  4. Independent proof of the claim
  5. Personal values or ethics
  6. Availability or convenience
드래그하여 순위 지정
Q07
AI 인터뷰

We'd like to explore your views on green claims a bit further. An AI moderator will ask you a couple of follow-up questions based on your earlier responses.

Q08
장문형

Based on your responses in this survey, do you have any suggestions for how brands should present green claims and supporting evidence?

Q09
드롭다운

What is your age?

  • 18–24
  • 25–34
  • 35–44
  • 45–54
  • 55–64
  • 65+
  • Prefer not to say
Q10
메시지

Thank you for completing this survey. Your responses will help us better understand how consumers evaluate environmental claims and what evidence builds genuine trust. Your feedback is greatly appreciated!

Q11
의견 척도

When you see a green or environmental claim on a product, how often do you look for proof or evidence to support that claim?

척도: 15
최소:Never최대:Always
Q12
의견 척도

How credible does the term "carbon neutral" seem to you when used on a product?

척도: 17
최소:Not at all credible최대:Extremely credible
Q13
장문형

Briefly describe what made the claim feel misleading.

Q14
드롭다운

How would you most prefer to access proof for a green claim when deciding whether to buy a product?

  • On-pack brief summary
  • QR code linking to a detailed page
  • Link on the online product page
  • In-store signage or shelf tag
  • Customer service on request
  • I don't need additional information
Q15
객관식

What is your gender?

  • Woman
  • Man
  • Non-binary
  • Another identity
  • Prefer not to say
Q16
의견 척도

How credible does the term "sustainably sourced" seem to you when used on a product?

척도: 17
최소:Not at all credible최대:Extremely credible
Q17
드롭다운

What is the highest level of education you have completed?

  • Less than high school
  • High school or equivalent
  • Some college, no degree
  • Associate degree
  • Bachelor's degree
  • Master's degree
  • Doctorate or professional degree
  • Prefer not to say
Q18
의견 척도

How credible does the term "100% recyclable" seem to you when used on a product?

척도: 17
최소:Not at all credible최대:Extremely credible
Q19
드롭다운

Which region do you currently live in?

  • Africa
  • Asia
  • Europe
  • Latin America & Caribbean
  • Middle East
  • North America
  • Oceania
  • Prefer not to say
Q20
의견 척도

How credible does the term "natural" seem to you when used on a product?

척도: 17
최소:Not at all credible최대:Extremely credible

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 credibility ratings for five specific common green-claim terms (eco-friendly, carbon neutral, sustainably sourced, 100% recyclable, natural), not just generic messaging reactions
  • Captures real greenwashing experiences with a follow-up open-text question on what specifically felt misleading
  • Uses ranking questions to surface which evidence types and purchase factors actually drive trust, plus a dropdown on preferred proof format
  • Adds an AI follow-up interview to probe deeper into respondents' views on green claims, something a static form can't do

SurveyMonkey

Messaging/claims Testing Survey Template

This is a general-purpose template for testing marketing messages and claims, not specific to environmental or green claims. It's a ready-to-field static survey backed by SurveyMonkey's broad distribution and analytics tools, but it doesn't address greenwashing perceptions or evidence-type preferences directly. Teams would need to heavily customize it to match the depth of a green-claims-specific study.

잘하는 점

  • Ready-to-field template usable immediately without custom build-out
  • Backed by SurveyMonkey's established survey distribution and panel infrastructure
  • Applicable to a wide range of message/claims testing use cases beyond sustainability

아쉬운 점

  • No adaptive AI follow-up probing — respondents can't be asked deeper questions based on their specific answers
  • Not tailored to green/environmental claims, greenwashing experiences, or evidence-type ranking
  • No transparent, publishable methodology for how questions or follow-ups are generated

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