모든 템플릿
Market Research

Fiber, Protein & Gut Health Claims Credibility Study

Measures how much shoppers trust functional food and beverage claims around fiber, protein, and gut health/probiotics, what evidence makes a claim believable, and where skepticism creeps in. An AI follow-up interview digs into a specific claim the respondent doubted or trusted and reconstructs what actually changed their mind. Built for brand, insights, and regulatory teams evaluating label and marketing language.

샘플 질문

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

질문 12개 · 약 7분
Q01
메시지

Thanks for joining! We're studying how believable food and drink claims like 'high fiber,' 'added protein,' and 'supports gut health' really are to shoppers. Your responses are completely confidential and anonymized. This takes about 6 minutes and there are no right or wrong answers.

Q02
객관식필수

In the last 30 days, how often have you bought a food or beverage product labeled with a functional claim (e.g., high fiber, added protein, supports gut health, probiotic)?

  • Never
  • Once
  • A few times
  • Weekly or more
Q03
매트릭스필수

How credible do you find each of these claim types when you see them on packaging?

5개 행 × 4개 열
  • High fiber
  • Added or high protein
  • Supports gut health / probiotic
  • Prebiotic
  • Low sugar with a functional benefit
: Very credible · Somewhat credible · Not very credible · Not at all credible
Q04
최선·최악 선택형(MaxDiff)필수

When a package makes a health claim, which of these makes you MOST and LEAST likely to believe it's true?

  • A cited clinical or university study
  • A specific percentage or daily-value amount listed
  • A recognizable third-party certification logo
  • Endorsement from a doctor or dietitian
  • A short, recognizable ingredient list
  • A money-back or satisfaction guarantee
  • Reviews from other customers
  • The brand's overall reputation
세트별 최선·최악 선택최선:Most convincing최악:Least convincing
Q05
의견 척도필수

Overall, how trustworthy do you find functional health claims on food and beverage packaging in general?

척도: 17
최소:Not at all trustworthy최대:Completely trustworthy
Q06
객관식

What makes you doubt a functional claim, if anything? Select all that apply.

  • Vague wording (e.g., 'supports' instead of a specific number)
  • No amount or percentage listed
  • Small print or hard-to-find details
  • Product tastes or looks like it can't be healthy
  • Past experience where the benefit didn't show up
  • Marketing feels exaggerated
  • Brand has a history of overpromising
Q07
평점 척도필수

If a product's claimed benefit (more fiber, more protein, better digestion) didn't match what you actually experienced, how likely would you be to buy that brand again?

범위: 15
최소:Very unlikely최대:Very likely
Q08
AI 인터뷰

Ask the respondent to name one specific product with a fiber, protein, or gut-health claim they either strongly believed or strongly doubted, and reconstruct why: what was on the package, what evidence (or lack of it) shaped their reaction, and whether their actual experience with the product confirmed or contradicted the claim. If they mention doubt, probe what single piece of evidence would have changed their mind. If they can't recall a specific product, ask them to walk through their last grocery trip and describe the first functional claim that caught their eye.

Q09
객관식

Where, if anywhere, do you typically check whether a functional health claim is actually true?

  • I search online for the ingredient or study
  • I check the nutrition facts panel myself
  • I ask a doctor, dietitian, or pharmacist
  • I read other customers' reviews
  • I look for certification seals or logos
  • I don't check — I just trust or ignore the claim
Q10
객관식

Which age range do you fall into?

  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65+
  • Prefer not to say
Q11
객관식

Which best describes your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q12
메시지

Thank you for sharing your honest take on these claims! Your responses will feed into a report on which types of evidence make fiber, protein, and gut-health claims believable — helping shape clearer, more trustworthy labeling.

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.

이 템플릿을 선택하는 이유

이 템플릿의 설계 목적을 소개합니다. 다른 설문 도구에서는 직접 비교할 만한 템플릿을 찾지 못했습니다.

차별화 포인트

  • Includes a dedicated AI follow-up interview that asks the respondent to name a specific product with a fiber, protein, or gut-health claim and probes what actually changed their mind about believing or doubting it
  • Combines a max-diff exercise on what makes a health claim most/least believable with a matrix rating claim-type credibility and multiple-choice questions on doubt triggers and verification behavior, giving brand, insights, and regulatory teams both breadth and depth
  • Every AI probe is built on a transparent, reviewable prompt rather than a hidden script, so teams evaluating label language can see exactly what was asked and why
  • Produces an auto-generated report synthesizing closed-ended credibility ratings alongside the qualitative reasoning captured in the follow-up interviews, without requiring a manual coding pass

자주 묻는 질문

“Fiber, Protein & Gut Health Claims Credibility Study” 템플릿에는 어떤 질문이 포함되어 있나요?

바로 사용할 수 있는 질문 12개가 포함되어 있으며, 처음 질문은 다음과 같습니다: “Thanks for joining! We're studying how believable food and drink claims like 'high fiber,' 'added protein,' and 'support…” · “In the last 30 days, how often have you bought a food or beverage product labeled with a functional claim (e.g., high fi…” · “How credible do you find each of these claim types when you see them on packaging?”. 전체 질문은 위에서 미리 볼 수 있고 모두 수정 가능합니다.

이 설문을 완료하는 데 얼마나 걸리나요?

응답자는 보통 질문 12개를 약 7분 안에 완료합니다.

템플릿을 수정할 수 있나요?

네. 설문을 공개하기 전에 모든 질문, 답변 옵션, 순서를 자유롭게 수정할 수 있습니다. 질문을 추가·삭제하거나 AI 편집기에 연구 목표에 맞춘 재구성을 요청할 수도 있습니다.

이 템플릿은 무료인가요?

네. 편집기에서 바로 열어 수정을 시작할 수 있습니다. 체험에는 계정이 필요 없으며, 무료 플랜으로 설문을 공개할 수 있습니다.

설문을 공개할 준비가 되셨나요?

이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.

관련 템플릿

비슷한 주제의 다른 설문을 만나 보세요.

전체 보기
Market Research

Retailer AI Assistant vs ChatGPT Shopping Preference Study

Compares how shoppers use a retailer's own AI assistant versus general tools like ChatGPT or Gemini for product research and purchase decisions. Built for retail and ecommerce teams deciding where to invest in AI shopping tools. The AI follow-up interview reconstructs the specific moment a shopper picked one over the other and what would change their mind.

템플릿 보기
Market Research

Reformulated Product Reactions: Protein and Fiber Claims Study

Measures how shoppers react when a familiar food product is reformulated with added protein or fiber claims — covering purchase intent, trust in the new claims, taste expectations, and price sensitivity. Built for brand and innovation teams testing packaging or recipe changes, with an AI follow-up that digs into the real tension between health claims and taste concerns behind the numbers.

템플릿 보기
Market Research

Consumer Trust in Fintech Sustainability Claims

Measures consumer trust, believability, and willingness to pay for sustainability features in fintech and banking. Designed for consumer panels to assess greenwashing risk and identify which green claims drive provider preference.

템플릿 보기
Market Research

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.

템플릿 보기
Market Research

Food Allergy Customer Trust & Safety Survey

Captures how confidently people managing food allergies navigate menus, ingredient labels, and staff interactions at restaurants and food brands — and where that trust breaks down. An AI follow-up interview reconstructs their most recent close call or unclear-labeling experience in detail. Built for restaurants, food manufacturers, and allergy-focused brands.

템플릿 보기
Market Research

Proof Points and Credibility Evaluation Survey

Measures which proof points—case studies, testimonials, certifications, usage statistics, awards—actually build buyer confidence, and where the evidence in your marketing or sales materials falls flat. Built for B2B marketing and sales enablement teams pressure-testing collateral, with an AI follow-up that surfaces the exact detail that made one proof point believable and what still leaves prospects skeptical.

템플릿 보기