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.
設問の例
テンプレートの内容をプレビューできます。すべての設問は公開前に自由に編集できます。
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
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
How satisfied are you with the portion sizes offered at most restaurants you visit?
How much do you agree with each statement about eating at restaurants since starting your medication?
- 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.
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
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
How likely are you to choose a restaurant specifically because it offers half-portion or 'lighter' menu options?
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.
Which age range do you fall into?
- Under 25
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
- Prefer not to say
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer not to say
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
Thank you! Your answers will help restaurants and menu designers build portion sizes, pricing, and options that better fit changing appetites like yours.
含まれる機能
AIによる深掘り
自由回答に合わせてAIが追加で質問し、固定のフォームでは拾えない具体的な内容を引き出します。
注意確認設問
急いだ回答や質の低い回答者を除外する仕組みを標準で備えています。
AIが作成する設問文
文言、設問の順序、条件分岐をAIが調査の目的に合わせて作成します。
自動レポート
回答が集まると、テーマ、引用、わかりやすい要約が自動で作成されます。
他ツールとの比較
ほかのアンケートツールで最も近いテンプレートを調べました。それぞれの優れている点と、このテンプレートがさらに踏み込んでいる点をまとめています。
このテンプレートを選ぶ理由
- 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 FormsThis 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.
優れている点
- 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)
物足りない点
- 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 & templateA 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.
優れている点
- Established survey platform with broad question-library support
- Covers general fast-food ordering and satisfaction topics
- Supports standard survey logic and reporting features
物足りない点
- 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 & QuestionsA 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.
優れている点
- Widely used, easy-to-deploy survey builder
- Good for broad satisfaction tracking across many restaurant visits
- Simple reporting dashboards for aggregate results
物足りない点
- 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
よくあるご質問
「Restaurant Menu And Portion Preferences For GLP-1 Users」テンプレートにはどのような設問が含まれていますか?
すぐに使える設問が13問含まれており、最初の設問は次のとおりです:「Thanks for taking a few minutes to share how restaurant meals fit into your life since starting a GLP-1 medication (like…」・「How long have you been taking a GLP-1 medication (for weight management or diabetes)?」・「Compared to before you started the medication, how often do you eat at sit-down or fast-casual restaurants now?」。すべての設問は上でプレビューでき、自由に編集できます。
このアンケートの回答にはどのくらい時間がかかりますか?
回答者は通常、13問を約7分で回答し終えます。
テンプレートは編集できますか?
はい。公開前であれば、すべての設問、選択肢、順序を編集できます。設問の追加や削除のほか、調査の目的に合わせた作り直しをAIエディターに依頼することもできます。
このテンプレートは無料で使えますか?
はい。エディターで開けば、すぐに編集を始められます。お試しにアカウントは不要で、無料プランでアンケートを公開できます。
公開の準備はできましたか?
このテンプレートをエディターで開いてみてください。最初の回答者が目にする前に、すべてを自由に変更できます。
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