QuestionPunkQuestionPunk
無料で始める
すべてのテンプレート
Industry-Specific

Everyday Food Preference & Decision Drivers Survey

Maps what people actually eat, which cuisines and attributes they favor, and what really drives a food choice in the moment — price, health, convenience, or taste. Built for food brands, restaurants, and meal-kit teams shaping menus or products. An AI follow-up interview reconstructs the last real meal decision instead of relying on stated preferences alone.

このテンプレートを使うほかのテンプレートを見る

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。

全13問・約7分
Q01
メッセージ

Hi! We'd love to understand your everyday food choices — what you like, what you avoid, and what actually tips the scale when deciding what to eat. Your responses are completely confidential and anonymized. This takes about 6 minutes and there are no wrong answers.

Q02
選択式必須

Which of these best describes how you eat most of the time?

  • Eat everything (omnivore)
  • Vegetarian
  • Vegan
  • Pescatarian
  • Flexitarian (mostly plant-based)
  • Low-carb / keto
  • Other
Q03
選択式必須

Which cuisines do you genuinely enjoy eating — not just tolerate? Select all that apply.

  • Italian
  • Mexican
  • Chinese
  • Indian
  • Japanese
  • Middle Eastern
  • American / comfort food
  • Thai / Southeast Asian
  • Mediterranean
  • French
Q04
選択式必須

In the last 30 days, how often did you try a dish or cuisine that was new to you?

  • Never
  • Once
  • A few times
  • Weekly or more
Q05
マトリクス必須

When you're deciding what to eat, how important is each of the following?

6行 × 5列
  • Taste and flavor
  • Health / nutrition
  • Price
  • Convenience / prep time
  • Sustainability or ethical sourcing
  • ほか1件
列: Not at all important · Slightly important · Moderately important · Very important · Extremely important
Q06
ベスト・ワースト選択（MaxDiff）必須

Thinking about picking a meal on a typical day, which of these matters most, and which matters least?

  • Great taste
  • Low price
  • Health benefits
  • Fast / minimal effort
  • Familiar and comforting
  • Large portion size
  • Locally sourced or sustainable
  • Visually appealing
各セットで最も良いもの・最も悪いものを選択最も良い:Matters most最も悪い:Matters least
Q07
ポイント配分必須

You have 100 points to distribute across the factors below based on how much weight each one gets in your typical food decisions. Split them however feels honest — they don't need to be equal.

  • Price
  • Taste
  • Health / nutrition
  • Convenience
  • Brand or reputation
  • Packaging or presentation
100ポイントを配分
Q08
オピニオンスケール必須

How willing are you to try an unfamiliar dish or ingredient you've never had before?

スケール: 1 – 7
最小:Very hesitant, I stick to what I know最大:Very willing, I actively seek novelty
Q09
評価スケール

How satisfied are you with the food options currently available to you day-to-day (grocery, delivery, restaurants nearby)?

範囲: 1 – 5
最小:Very dissatisfied最大:Very satisfied
Q10
AIインタビュー

Ask the respondent to walk you through the last meal or snack they chose for themselves, step by step: what options they considered, what ultimately tipped the decision (price, mood, health, convenience, habit), and whether they were happy with the choice afterward. If their stated top priority from the point-allocation question doesn't match what actually drove that real decision, gently probe the gap. If they say they 'just grabbed whatever,' dig into what 'whatever' usually is and why that's the default.

Q11
選択式

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
Q12
選択式

How many people, including yourself, do you typically cook or shop for?

  • Just myself
  • 2 people
  • 3-4 people
  • 5 or more people
  • Prefer not to say
Q13
メッセージ

Thank you for sharing your food preferences! Your answers will feed directly into how we shape menus and products to match what people actually want to eat, not just what they say they should eat.

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

  • Goes beyond stated preferences with an AI follow-up interview that reconstructs the respondent's actual last meal decision, surfacing real behavior instead of self-reported ideals
  • Combines a matrix, constant-sum, and max-diff exercise so we can triangulate what really drives choice — price, health, convenience, or taste — rather than relying on a single ranking question
  • Every AI-driven follow-up runs on transparent, reviewable prompts and produces automated per-response quality scoring plus an auto-generated report, unlike static form builders
  • Includes context questions (household cooking size, novelty-seeking, cuisine breadth) so food brands and meal-kit teams can segment findings by real usage patterns, not just demographics

Jotform

Picnic Food Preference Form Template

A fielding-ready static form built for a specific event use case (picnic planning) rather than general everyday food-decision research. It's easy to deploy and customize visually but is scoped narrowly and not designed to probe the reasoning behind choices. Useful as a lightweight intake form, not a decision-driver study.

優れている点

  • Ready-to-use, easily customizable form builder
  • Simple, low-friction respondent experience for casual event planning

物足りない点

  • No adaptive follow-up questioning — collects only fixed, self-reported answers
  • No mechanism to weigh or trade off decision drivers like price, health, or convenience
  • No automated scoring or synthesized reporting of responses

SurveySparrow

Sample Food Preference Questionnaire Template | Uncover Dietary Trends

A fielding-ready conversational-style survey template aimed at general dietary trend discovery. It covers preference and habit questions in a friendly chat-like format but is still a fixed-question instrument. Good for broad trend snapshots rather than reconstructing specific real decisions.

優れている点

  • Conversational, chat-style question flow that feels approachable
  • Positioned specifically around food/dietary trend topics

物足りない点

  • No adaptive AI interviewing — all questions are pre-set with no follow-up probing
  • No structured trade-off tools (e.g., points allocation or max-diff) to quantify what matters most
  • No transparent prompt methodology or automated report generation

QuestionPro

Food survey questions | Food-related survey questions & template

A category page/template collection of food and fast-food restaurant survey questions rather than a single polished, ready-to-field instrument. Useful as a question bank for restaurant-style feedback, but it reads more like a reference library than a cohesive decision-driver survey. Good for teams wanting to build their own from parts.

優れている点

  • Broad library of food and restaurant-specific question examples
  • Backed by an established survey platform with reporting and distribution tools

物足りない点

  • Presented as a question bank/category page, not a single cohesive fielding-ready template
  • No adaptive AI follow-up to reconstruct an actual recent meal decision
  • No built-in trade-off measurement (constant-sum/max-diff) for ranking decision drivers

Typeform

Consumer Preference Survey Template

A general-purpose consumer preference template that could be adapted for food brands, but it is not food-specific and covers preference topics broadly rather than everyday meal decisions. Its polished conversational UI is a strength, though the content isn't purpose-built for food, cuisine, or meal-choice research.

優れている点

  • Clean, on-brand conversational interface known for high completion rates
  • Flexible template that can be adapted across product categories

物足りない点

  • Not food-specific — no built-in cuisine, meal-timing, or food-attribute questions
  • Static question flow with no adaptive AI interview to probe an actual recent decision
  • No transparent prompt logic or automated per-response quality scoring

よくあるご質問

「Everyday Food Preference & Decision Drivers Survey」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：「Hi! We'd love to understand your everyday food choices — what you like, what you avoid, and what actually tips the scale…」・「Which of these best describes how you eat most of the time?」・「Which cuisines do you genuinely enjoy eating — not just tolerate? Select all that apply.」。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。

このテンプレートを使う無料で始める

関連テンプレート

似たテーマのほかの調査もご覧ください。

すべて見る
Industry-Specific

Client Project Satisfaction & Delivery Review

Measures how satisfied clients or stakeholders are with a completed or in-flight project — covering scope clarity, timeliness, budget adherence, communication, and deliverable quality — with an AI follow-up that digs into the real story behind the overall rating instead of a generic star score. Built for agencies, consultancies, and internal project teams running post-project or milestone reviews.

テンプレートを見る
Industry-Specific

Online Purchasing Habits and Decision Drivers Survey

Measures how often people shop online, what actually drives a buy-or-abandon decision, and where friction shows up in checkout, delivery, and returns. An AI follow-up interview reconstructs a real recent purchase (or near-purchase) moment instead of relying on generic satisfaction ratings, making it useful for e-commerce and retail teams diagnosing drop-off.

テンプレートを見る
Industry-Specific

General Shopping Behavior & Demographics Survey

Maps how, where, and why people shop — channel mix, category spend, decision drivers, and core demographics — with an AI follow-up interview that reconstructs a recent real purchase decision instead of relying on stated preferences. Built for retail, e-commerce, and market-sizing teams profiling a customer base.

テンプレートを見る
Industry-Specific

Typical Customer Profile and Decision Drivers Survey

Builds a clear picture of your typical customer — how they found you, why they chose you over alternatives, what they value most, and how they actually use your product day to day. An AI follow-up interview digs into the real story behind their top decision driver, giving teams building ideal customer profiles or refining positioning something more concrete than survey averages.

テンプレートを見る
Industry-Specific

Fast Food Visit Experience & Ordering Satisfaction Survey

Captures how customers actually experience a fast food visit — speed, accuracy, taste, value, and channel choice — plus which improvements would matter most and how customers think about pricing. An AI follow-up interview reconstructs exactly what happened on the respondent's most recent visit instead of relying on vague satisfaction scores. Built for restaurant operators, franchise groups, and QSR marketing teams.

テンプレートを見る
Industry-Specific

Supermarket Shopping Attitudes and Habits Survey

Captures how shoppers choose, evaluate, and switch between grocery stores and channels — price sensitivity, loyalty behavior, and channel mix — for retail and CPG researchers. An AI follow-up interview digs into the real story behind a shopper's most recent store choice or channel switch, beyond what a closed question can capture.

テンプレートを見る