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.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
Which of the following food allergies or intolerances do you personally manage?
- Peanut
- Tree nuts
- Milk/dairy
- Egg
- Wheat/gluten
- Soy
- Fish
- Shellfish
- Sesame
How confident are you that restaurants and food brands can safely accommodate your allergy today?
How trustworthy do you find each of these sources of allergen information?
- Printed menu allergen labels
- Verbal confirmation from waitstaff
- Packaged food ingredient labels
- Third-party allergy certifications or apps
In the last 3 months, how often have you avoided a restaurant or food product because the allergen information wasn't clear enough?
- Never
- Once
- A few times
- Almost every time I eat out
- I no longer eat out because of this
Thinking about the most recent menu or food label you checked for allergens, how would you rate its clarity?
Which of these changes would most increase your trust in a restaurant or food brand's allergy safety?
- Clear on-menu allergen icons
- Dedicated allergen-free prep area
- Staff trained in allergen handling
- Real-time ingredient lookup tool online
- Third-party allergy safety certification
- Direct hotline to ask about ingredients
- Separate allergy-friendly menu
- Guaranteed allergen-free packaging seal
Reconstruct the respondent's most recent close call, reaction, or moment of unclear allergen information at a restaurant or with a packaged product: what happened, how staff or the brand responded, and exactly what information was missing or wrong. Anchor on their earlier answers about avoidance and label clarity, and if they say they've never had an issue, probe what specifically makes them feel safe versus wary in the moment of ordering.
If you've experienced an allergic reaction to food, what was the most severe reaction you've had?
- I have not had a reaction
- Mild (itching, rash)
- Moderate (swelling, digestive upset)
- Severe (difficulty breathing, anaphylaxis)
- Prefer not to say
What's one thing a restaurant or food brand could do that would make you feel safest ordering from them?
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
How was your food allergy diagnosed?
- Diagnosed by a doctor or allergist
- Self-diagnosed based on symptoms
- Diagnosed as a child by a parent or caregiver
- Not formally diagnosed
- Prefer not to say
That's everything — thank you for sharing your experience. Your responses will be combined with others to help food brands and restaurants improve allergen labeling and staff training.
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
- Goes beyond listing allergies by measuring confidence, trust breakdown points, and avoidance behavior across restaurants and food brands
- Includes an AI follow-up interview that reconstructs the respondent's most recent close call or unclear-labeling experience in their own words, not just multiple-choice data
- Combines a matrix question on trust in different allergen-information sources with a max-diff exercise to rank which changes would most rebuild trust
- Captures diagnosis method, reaction severity, and open-ended suggestions alongside quantitative confidence and behavior data, giving restaurants and brands both the 'what' and the 'why'
Jotform
Food Allergy Questionnaire Form TemplateA static form template for collecting an individual's food allergy details, likely intended for schools, camps, or events rather than measuring trust or brand experience. It's a fielding-ready intake form, not a research instrument designed to explore confidence or breakdowns in trust.
잘하는 점
- Simple, ready-to-use intake form for capturing allergy information
- Drag-and-drop customization typical of Jotform's builder
- Free to use for basic form collection
아쉬운 점
- No adaptive follow-up questioning to probe into specific incidents or close calls
- Designed for data intake, not for measuring trust, confidence, or behavioral avoidance patterns
- No automated scoring or reporting on response quality or sentiment
SurveySparrow
Free Food Allergy Form - Collect Dietary InformationA healthcare-category form focused on collecting dietary and allergy information, likely for clinics, caterers, or care settings rather than restaurant/brand trust research. It's a static data-collection form, not built to explore lived experiences or trust erosion.
잘하는 점
- Positioned within a healthcare template category, suggesting compliance-minded design
- Free tier availability for basic dietary data collection
- Conversational form format typical of SurveySparrow's UI
아쉬운 점
- No mechanism to reconstruct or probe a specific recent incident like a mislabeling or close call
- Lacks trust-scale or max-diff style comparative measurement of brand/restaurant practices
- No transparent AI prompt methodology or automated per-response quality scoring
Typeform
Food Allergy Form TemplateA conversational-style static form for capturing food allergy details, well-suited to friendly UX but not designed to measure customer trust or safety perceptions across restaurants and brands. It's a fielding-ready form, not a trust/behavior research survey.
잘하는 점
- Polished, conversational one-question-at-a-time UI
- Easy embedding for restaurants or brands to collect basic allergy data
- Mobile-friendly design typical of Typeform templates
아쉬운 점
- No adaptive AI interview to dig into a respondent's most recent unclear-labeling or close-call experience
- No structured trust matrix or max-diff prioritization of trust-building changes
- No published methodology for how questions or follow-ups are generated, since none are AI-driven
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이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.
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