모든 템플릿
Industry-Specific

Airline Passenger Flight Experience Survey

Captures how passengers rated every touchpoint of a recent flight — booking, check-in, boarding, cabin service, and disruption handling — and prioritizes which improvements matter most. An AI follow-up interview digs into the specific moment that drove the passenger's overall rating, surfacing the concrete 'why' behind the score.

샘플 질문

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

질문 15개 · 약 8분
Q01
메시지

Thanks for flying with (Replace with airline name)! We'd love to hear how your most recent flight went, from booking to landing. Your responses are completely confidential and anonymized. This takes about 8 minutes and your honest feedback helps us improve. (Template note: replace with your airline's name before launching.)

Q02
객관식필수

What was the primary purpose of this trip?

  • Business
  • Leisure
  • Visiting friends or family
  • Mixed business and leisure
Q03
객관식필수

Which cabin class did you fly in on this trip?

  • Economy
  • Premium Economy
  • Business
  • First
Q04
평점 척도필수

Overall, how would you rate your experience on this flight?

범위: 15
최소:Very poor최대:Excellent
Q05
매트릭스필수

Please rate each part of your journey with (Replace with airline name).

9개 행 × 5개 열
  • Booking process
  • Check-in experience
  • Boarding process
  • Seat comfort
  • Cabin crew service
  • 외 4개
: Poor · Fair · Good · Very good · Excellent
Q06
최선·최악 선택형(MaxDiff)필수

If (Replace with airline name) could only fix a few things, which would matter most to you? Pick your most and least important from each set.

  • Shorter check-in and security lines
  • More legroom or seat comfort
  • Better food and beverage options
  • More reliable Wi-Fi and entertainment
  • Friendlier, more attentive cabin crew
  • Clearer communication during delays
  • Lower fares or fewer hidden fees
  • More direct routes and flight times
세트별 최선·최악 선택최선:Matters most최악:Matters least
Q07
AI 인터뷰

Reconstruct the single moment or interaction that most shaped this passenger's overall rating of the flight — ask them to walk through what happened, who was involved, and what (if anything) staff did about it. If they rated the flight highly, probe what specifically stood out as memorable. If they rated it poorly or flagged a top priority in the previous question, dig into what a fair resolution would have looked like to them.

Q08
의견 척도필수

How likely are you to recommend (Replace with airline name) to a friend or colleague?

척도: 010
최소:Not at all likely최대:Extremely likely
Q09
객관식

On this trip, did you experience a delay, cancellation, or other significant disruption?

  • No disruption
  • Minor delay (under 1 hour)
  • Significant delay (1 hour or more)
  • Cancellation
  • Other disruption
Q10
의견 척도

If you experienced a disruption, how satisfied were you with how it was communicated and handled?

척도: 15
최소:Very dissatisfied최대:Very satisfied
Q11
장문형

Is there anything else about your flight experience you'd like us to know?

Q12
메시지

Almost done — just a couple of quick, optional questions about you so we can spot patterns across different types of travelers.

Q13
객관식

How often do you fly (with any airline) in a typical year?

  • This was my first flight in a year or more
  • 1-2 times
  • 3-5 times
  • 6-10 times
  • More than 10 times
  • Prefer not to say
Q14
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
Q15
메시지

Thank you for sharing your experience! Your feedback feeds directly into our reports on where to improve the journey, from booking through baggage claim.

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

  • Goes beyond a single overall rating by using an AI follow-up interview to reconstruct the specific moment that drove the passenger's score, surfacing the real 'why' instead of just a number.
  • Combines a touchpoint-by-touchpoint matrix (booking, check-in, boarding, cabin service, disruption handling) with a MaxDiff prioritization question, so you learn not just how each stage was rated but which fixes matter most.
  • Separately probes disruption communication satisfaction, letting airlines isolate service-recovery issues from general experience ratings.
  • Uses a conversational chat-message structure with optional demographic questions at the end, keeping the survey approachable while still generating an automated report from the responses.

QuestionPro

Airline Passenger Satisfaction Survey + Feedback Questionnaire Sample Template

A static, fielding-ready sample questionnaire covering typical airline satisfaction touchpoints. It's a fixed question set meant to be customized within QuestionPro's survey builder rather than an adaptive interview experience. Good for teams that just need a standard questionnaire to launch quickly.

잘하는 점

  • Established enterprise survey platform with broad customization and distribution options
  • Sample questions are ready to copy into a fielding survey with minimal setup

아쉬운 점

  • Fixed question list with no adaptive follow-up probing into individual responses
  • No per-response quality scoring or transparent prompt methodology mentioned

SurveyMonkey

Airline Passenger Satisfaction Survey Questions

A widely-used template offering standard airline satisfaction questions within SurveyMonkey's familiar builder. It's designed for quick deployment and benefits from broad brand recognition, but remains a static question set. There's no mechanism shown for digging deeper into any single passenger's rating.

잘하는 점

  • Well-known, easy-to-use platform with strong template library and distribution reach
  • Simple setup for teams wanting a conventional satisfaction survey fast

아쉬운 점

  • Static form structure — no adaptive AI follow-up interview to explore the 'why' behind a rating
  • No mention of automated per-response quality scoring or voice AI interview options

SurveySparrow

Airline Passenger Satisfaction Survey Template

SurveySparrow's template presents airline satisfaction questions in its characteristic conversational, chat-style format, which can feel more engaging than a traditional form. It's still a pre-set sequence of questions rather than a dynamic interview that adapts based on what the passenger says. Positioned as free and easy to launch.

잘하는 점

  • Conversational, chat-like survey format that can improve completion rates and feel more human
  • Free and simple to set up for quick deployment

아쉬운 점

  • Conversational tone is templated, not adaptive — no AI-driven follow-up that reconstructs the specific moment behind a score
  • No automated quality scoring or transparent AI prompt methodology referenced

Jotform

Airline Passenger Satisfaction Survey Form Template

This is a drag-and-drop form template within Jotform's form-builder ecosystem, well suited for teams wanting fast visual customization and integrations. It functions as a static satisfaction form rather than an interactive interview. Reporting relies on Jotform's general form analytics rather than qualitative synthesis of open-ended answers.

잘하는 점

  • Highly customizable drag-and-drop form builder with many integrations
  • Fast to deploy and visually flexible for branding

아쉬운 점

  • No adaptive AI interview capability — cannot probe deeper into a passenger's specific experience
  • No automated per-response quality scoring or voice AI interview option

설문을 공개할 준비가 되셨나요?

이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.

관련 템플릿

같은 카테고리의 다른 설문을 만나 보세요.

전체 보기
Industry-Specific

오픈하우스 방문객 피드백 설문

매수 담당 중개인과 매도인을 위해, 방문객이 특정 매물을 둘러본 직후 어떻게 반응했는지 — 첫인상, 가격 인식, 오퍼 제출 가능성 — 를 파악합니다. AI 후속 인터뷰는 일반적인 평점에 그치지 않고, 방문객의 구매 관심 뒤에 숨은 구체적인 망설임이나 결정적 걸림돌을 파고듭니다.

템플릿 보기
Industry-Specific

Office Secret Santa Preferences & Experience Survey

Gathers what participants actually want to give and receive in your Secret Santa exchange — budget comfort, gift categories, restrictions, and logistics preferences — plus an AI follow-up that digs into what made past exchanges feel great or fall flat, so organizers can set rules that actually work.

템플릿 보기
Industry-Specific

Workplace Sleep Deprivation & Fatigue Risk Survey

Assesses how much sleep loss is affecting your workforce's alertness, mood, and safety on the job — built for HR, EHS, and shift-operations teams. An AI follow-up interview digs into the real story behind a recent fatigue-related close call or bad day, surfacing root causes that a checklist alone would miss.

템플릿 보기
Industry-Specific

Field Trip Experience Feedback Survey

Measures how well a school, museum, or organizational field trip delivered on learning value, logistics, and safety, gathered from teachers, chaperones, and parents — with an AI follow-up that reconstructs the specific moment the trip clicked or fell apart instead of relying on a single satisfaction score.

템플릿 보기
Industry-Specific

Market Potential Evaluation for a New Product Concept

Assesses how big and reachable the opportunity is for a new product, service, or market entry — awareness, purchase intent, price tolerance, and competitive standing — for product and strategy teams, with an AI follow-up that probes the real reasons behind stated purchase intent.

템플릿 보기
Industry-Specific

Post-Stay Hotel Guest Experience Survey

Captures how guests rated check-in, room quality, staff, and value after a recent stay, plus their likelihood to recommend and rebook. An AI follow-up interview digs into the real story behind their score — what made or broke the stay — so hotel teams get specifics, not just star ratings.

템플릿 보기