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Restaurant Menu And Portion Preferences For GLP-1 Users

Explores how people taking GLP-1 medications (Ozempic, Wegovy, Mounjaro, Zepbound, etc.) actually order, eat, and evaluate restaurant meals now that their appetite has changed. Combines portion satisfaction, trade-off prioritization, and an AI follow-up interview that reconstructs a real recent meal to surface concrete menu and pricing fixes. Built for restaurant chains, menu R&D teams, and food-service researchers.

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샘플 질문

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질문 13개 · 약 7분
Q01
메시지

Thanks for taking a few minutes to share how restaurant meals fit into your life since starting a GLP-1 medication (like Ozempic, Wegovy, Mounjaro, or Zepbound). Your honest answers help restaurants build better menus for smaller appetites. Your responses are completely confidential and anonymized. About 5-6 minutes, and you can skip anything you'd rather not answer.

Q02
객관식

How long have you been taking a GLP-1 medication (for weight management or diabetes)?

  • Less than 1 month
  • 1-3 months
  • 4-6 months
  • 7-12 months
  • More than 1 year
  • Prefer not to say
Q03
객관식필수

Compared to before you started the medication, how often do you eat at sit-down or fast-casual restaurants now?

  • Much less often
  • Somewhat less often
  • About the same
  • Somewhat more often
  • Much more often
Q04
평점 척도필수

How satisfied are you with the portion sizes offered at most restaurants you visit?

범위: 1 – 5
최소:Very dissatisfied최대:Very satisfied
Q05
매트릭스필수

How much do you agree with each statement about eating at restaurants since starting your medication?

5개 행 × 5개 열
  • I often ask for a to-go box before I start eating.
  • I skip appetizers or sides because the main portion is already too much.
  • I look for calorie or protein information before ordering.
  • I feel judged or questioned when I order less food than expected.
  • I would order out more often if half-size portions were priced at roughly half the cost.
열: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q06
최선·최악 선택형(MaxDiff)필수

Which of the following menu changes would most improve your experience dining out?

  • Half-portion sizes at proportionally lower prices
  • More protein-forward entrees (fish, chicken, tofu, etc.)
  • Smaller or lighter appetizer options
  • Nutrition information (calories, protein) listed on the menu
  • Default option to box half the meal to go
  • More vegetable-forward or lower-carb sides
  • Shareable or small-plate formats across the whole menu
  • Lower-sugar desserts available in smaller sizes
세트별 최선·최악 선택최선:Would improve my experience the most최악:Would improve my experience the least
Q07
점수 배분필수

If a restaurant chain asked you to help prioritize its next menu redesign, how would you split 100 points across these investments?

  • Smaller portion options
  • Lower prices for smaller portions
  • Healthier ingredient choices
  • More variety within each portion size
  • Clear nutrition labeling
  • Faster service for lighter meals
100점 배분
Q08
의견 척도필수

How likely are you to choose a restaurant specifically because it offers half-portion or 'lighter' menu options?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q09
AI 인터뷰

Reconstruct the respondent's most recent restaurant meal since starting their GLP-1 medication: what they ordered, how much they actually ate versus what arrived, and what happened to the leftovers. Probe any specific moment where portion size, pricing, or menu design didn't fit their appetite, and ask what exact change would have made that meal work better. If they say portions haven't changed much for them, ask what they'd still want restaurants to offer for people in their situation.

Q10
객관식

Which age range do you fall into?

  • Under 25
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q11
객관식

How do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer not to say
Q12
객관식

What is your annual household income?

  • Under $50,000
  • $50,000-$99,999
  • $100,000-$149,999
  • $150,000 or more
  • Prefer not to say
Q13
메시지

Thank you! Your answers will help restaurants and menu designers build portion sizes, pricing, and options that better fit changing appetites like yours.

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 a rating and matrix block that quantify portion satisfaction and post-medication attitude shifts, then a max-diff and constant-sum exercise that force respondents to trade off and prioritize specific menu changes instead of just rating them
  • Pairs those quantitative trade-offs with an AI follow-up interview that reconstructs a respondent's actual most recent restaurant meal, turning vague complaints into concrete, orderable menu and pricing fixes
  • Purpose-built for the GLP-1 population specifically (medication tenure, dining-frequency shift, half-portion likelihood) rather than a generic diner satisfaction survey
  • Standard demographic screening (age, gender, household income) lets restaurant chains and menu R&D teams segment findings by respondent profile

Jotform

50+ Restaurant Evaluation Forms

This is a category page listing 50+ generic restaurant evaluation form templates rather than a single fielding-ready survey. It covers general dine-in satisfaction and service quality but has no content aimed at GLP-1 users or appetite-driven ordering behavior.

잘하는 점

  • Large library of ready-made form layouts to start from
  • Familiar drag-and-drop form builder for quick customization
  • Covers broad restaurant evaluation use cases (service, cleanliness, food quality)

아쉬운 점

  • Static form fields only — no adaptive AI follow-up questions to probe individual answers
  • No mechanism to reconstruct a specific recent meal or surface concrete menu/pricing fixes
  • No published scoring methodology or automated report generation tied to response quality

QuestionPro

Food survey questions | Food-related survey questions & template

A fast-food/restaurant survey template with a bank of food-related questions, aimed at general dining feedback rather than the GLP-1 or medication-driven appetite-change population. Useful as a generic starting question set but not tailored to portion-size trade-offs for this audience.

잘하는 점

  • Established survey platform with broad question-library support
  • Covers general fast-food ordering and satisfaction topics
  • Supports standard survey logic and reporting features

아쉬운 점

  • No adaptive AI interview to dig into an individual's actual recent meal
  • No built-in trade-off/prioritization exercise for menu redesign decisions
  • No GLP-1-specific framing (medication tenure, appetite change, half-portion preference)

SurveyMonkey

Restaurant Feedback Survey Template & Questions

A standard restaurant feedback template covering service, food quality, and overall satisfaction — solid for general dine-in feedback but not designed around appetite-changed diners or portion-size trade-off decisions. It's a static question set rather than an interview-style probe.

잘하는 점

  • Widely used, easy-to-deploy survey builder
  • Good for broad satisfaction tracking across many restaurant visits
  • Simple reporting dashboards for aggregate results

아쉬운 점

  • Fixed questions with no adaptive follow-up to reconstruct a specific meal
  • No max-diff or constant-sum style prioritization for menu redesign trade-offs
  • No focus on GLP-1 medication context or portion-satisfaction shifts over time

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