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Industry-Specific

Fast Food Customer Experience & Loyalty Survey

Measures satisfaction with speed, accuracy, food quality, and value at a quick-service restaurant, plus what drives repeat visits and recommendations. An AI follow-up interview reconstructs exactly what happened on the customer's most recent visit — especially when something went wrong — instead of settling for a star rating.

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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

Thanks for stopping by! We'd love to hear about your recent experience at (Replace with restaurant name). Your responses are completely confidential and anonymized. This will take about 4-5 minutes and your honest feedback helps us fix what's not working.

Q02
選択式必須

In the last 3 months, how often have you visited (Replace with restaurant name)?

  • This was my first visit
  • 1-2 times
  • 3-5 times
  • 6-10 times
  • More than 10 times
Q03
選択式必須

On your most recent visit, how did you place your order?

  • Dine-in counter
  • Drive-thru
  • Mobile app or kiosk
  • Delivery app (e.g. Replace with DoorDash/Uber Eats)
  • Phone order
Q04
マトリクス必須

Thinking about your most recent visit, how would you rate each of the following?

6行 × 5列
  • Food taste and quality
  • Order accuracy
  • Speed of service
  • Cleanliness of the location
  • Staff friendliness
  • ほか1件
列: Poor · Fair · Good · Very good · Excellent
Q05
オピニオンスケール必須

How likely are you to recommend (Replace with restaurant name) to a friend or family member?

スケール: 0 – 10
最小:Not at all likely最大:Extremely likely
Q06
選択式必須

On your most recent visit, was your order correct?

  • Yes, completely correct
  • Mostly correct, one small mistake
  • No, a major item was wrong or missing
  • I didn't check before leaving
Q07
AIインタビュー

Reconstruct exactly what happened on the respondent's most recent visit: what they ordered, how the process went from ordering to receiving food, and whether it matched expectations. If they reported an order accuracy problem or gave a low recommendation rating, dig into what specifically went wrong, how staff handled it (if at all), and whether it would change where they go next time. If everything went well, ask what one thing stood out as the highlight.

Q08
ベスト・ワースト選択（MaxDiff）

If (Replace with restaurant name) could only improve ONE of these, which would matter most to you — and which matters least?

  • Faster order and pickup times
  • Lower prices
  • More order accuracy
  • Friendlier, more attentive staff
  • Cleaner dining area and restrooms
  • Healthier menu options
  • More menu variety
  • A smoother app or ordering experience
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
Q09
オピニオンスケール必須

How likely are you to visit (Replace with restaurant name) again in the next 30 days?

スケール: 1 – 5
最小:Very unlikely最大:Very likely
Q10
選択式

What's the main reason you choose (Replace with restaurant name) over competitors like (Replace with Competitor A) or (Replace with Competitor B)?

  • Location or convenience
  • Price
  • Food taste or quality
  • Speed of service
  • Menu options for me or my family
  • Habit or loyalty program
  • Other
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 do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q13
メッセージ

That wraps things up — thank you for sharing your experience! Your feedback goes directly to our operations team to help us improve speed, accuracy, and quality at every visit.

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

  • Uses an AI follow-up interview to reconstruct exactly what happened on the respondent's most recent visit, especially when something went wrong, instead of stopping at a star rating
  • Pairs a satisfaction matrix and opinion-scale recommendation/repeat-visit questions with a MaxDiff exercise to identify the single highest-priority fix
  • Captures order accuracy and ordering channel as structured multiple-choice questions so follow-up context is quantifiable, not just anecdotal
  • Runs on a platform with free tier access, automated per-response quality scoring, and transparent, published prompts — no academic pricing tier exists or is claimed

QuestionPro

Food survey questions | Food-related survey questions & template

This is more of a curated question-and-guide page covering food-related survey topics than a single ready-to-field fast food CX template. It's useful as a reference library for question ideas, but a researcher would need to assemble and configure their own survey from it. No mention of adaptive interviewing or automated scoring.

優れている点

  • Broad library of food-related survey questions across multiple use cases
  • Backed by an established survey platform with standard question types
  • Good starting reference for drafting a fast food survey from scratch

物足りない点

  • Static question bank rather than an adaptive interview that probes what actually happened on a visit
  • No automated per-response quality scoring
  • No published prompt-level methodology since there's no AI interviewing component

Jotform

Fast Food Survey Form Template

A dedicated, fielding-ready fast food survey form built on Jotform's drag-and-drop form builder. It likely covers basic satisfaction and visit-frequency questions but relies entirely on fixed fields rather than any conversational follow-up. Good for quick deployment, limited for depth on 'what went wrong' incidents.

優れている点

  • Purpose-built specifically for fast food feedback, not a generic template
  • Fast to deploy using Jotform's familiar drag-and-drop builder
  • Likely supports standard branding and embedding options

物足りない点

  • Fixed-field form with no adaptive AI follow-up to reconstruct a specific visit
  • No voice AI interview option or guided screen-share task capability
  • No automated quality scoring of open-ended responses

SurveyMonkey

Customer Experience Survey Template & Questions

A general-purpose customer experience template, not specific to fast food or quick-service restaurants, so it would need heavy customization to capture order accuracy, speed, and value drivers. It's backed by a mature survey platform with strong distribution and reporting features. Depth on any single incident still depends on manual open-text questions.

優れている点

  • Well-established platform with broad distribution and analytics tooling
  • Generic CX template is flexible across many industries
  • Likely includes standard NPS/satisfaction question types out of the box

物足りない点

  • Not tailored to fast food specifics like order accuracy or speed of service
  • No adaptive AI follow-up interview to reconstruct a specific recent visit
  • No transparent published prompts or automated per-response quality scoring

よくあるご質問

「Fast Food Customer Experience & Loyalty 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：「Thanks for stopping by! We'd love to hear about your recent experience at (Replace with restaurant name). Your responses…」・「In the last 3 months, how often have you visited (Replace with restaurant name)?」・「On your most recent visit, how did you place your order?」。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

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