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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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샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 13개 · 약 7분
Q01
메시지

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
객관식필수

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
객관식필수

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
매트릭스필수

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

6개 행 × 5개 열
  • Food taste and quality
  • Order accuracy
  • Speed of service
  • Cleanliness of the location
  • Staff friendliness
  • 외 1개
열: Poor · Fair · Good · Very good · Excellent
Q05
의견 척도필수

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

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q06
객관식필수

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 인터뷰

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
최선·최악 선택형(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
세트별 최선·최악 선택최선:Matters most최악:Matters least
Q09
의견 척도필수

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

척도: 1 – 5
최소:Very unlikely최대:Very likely
Q10
객관식

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
객관식

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
객관식

How do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q13
메시지

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.

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

  • 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.

잘하는 점

  • 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

아쉬운 점

  • 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.

잘하는 점

  • 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

아쉬운 점

  • 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.

잘하는 점

  • 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

아쉬운 점

  • 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

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