QuestionPunkQuestionPunk
무료로 시작하기
모든 템플릿

Flight Booking Chatbot Usability & Trust Survey

Evaluates how well an airline or travel site's AI chatbot handles real booking, change, and support tasks — covering task completion, trust, and where users bail out to a human. An AI follow-up interview reconstructs exactly what happened in the respondent's most recent chatbot session, not just how they'd rate it in hindsight.

이 템플릿 사용하기템플릿 더 둘러보기

샘플 질문

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

질문 12개 · 약 7분
Q01
메시지

Thanks for trying out our flight booking assistant! We'd like to hear about your most recent interaction with it — what worked, what didn't, and where it could do better. Your responses are completely confidential and anonymized. This will take about 5 minutes.

Q02
객관식필수

What were you trying to do the last time you used the chatbot?

  • Book a new flight
  • Change or cancel an existing booking
  • Check flight status or gate information
  • Ask about baggage, seats, or fees
  • Request a refund or file a complaint
  • Something else
Q03
의견 척도필수

How easy was it to get what you needed from the chatbot in that interaction?

척도: 1 – 7
최소:Very difficult최대:Very easy
Q04
객관식필수

How did that interaction end?

  • The chatbot fully resolved it
  • The chatbot partially helped, and I finished the rest myself online
  • I gave up on the chatbot and called or messaged a human agent
  • I abandoned the task entirely
Q05
평점 척도필수

How well did the chatbot understand what you were asking, even when you phrased it in your own words?

범위: 1 – 5
최소:Frequently misunderstood me최대:Understood me every time
Q06
매트릭스필수

How much do you agree with each statement about the chatbot?

5개 행 × 5개 열
  • It gave accurate flight information and prices
  • It responded quickly enough
  • It was clear about what it could and couldn't help with
  • I trusted the information it gave me
  • It made handing off to a human easy when needed
열: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q07
AI 인터뷰

Reconstruct the respondent's most recent chatbot interaction step by step: what they typed or said first, how the chatbot responded, and the exact moment (if any) where it broke down or forced a workaround. If they say they gave up or switched to a human, get the specific request that failed and what they wish the chatbot had said or done instead. If they say it fully resolved their task, probe what almost went wrong or felt uncertain along the way.

Q08
의견 척도필수

How likely are you to use this chatbot again the next time you need help with a flight?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q09
최선·최악 선택형(MaxDiff)

Which of these improvements would make the biggest difference to your experience with the chatbot?

  • Better understanding of complex or multi-part requests
  • Faster response times
  • Clearer explanation of prices and fees
  • Remembering my past trips and preferences
  • Easier handoff to a human agent
  • Support for more languages
  • More proactive alerts about delays or changes
  • Ability to handle multi-city or group bookings
세트별 최선·최악 선택최선:Most impactful최악:Least impactful
Q10
객관식

In the last 12 months, how often have you flown?

  • Not at all
  • 1-2 times
  • 3-5 times
  • 6 or more times
  • Prefer not to say
Q11
객관식

Which age range best describes you?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q12
메시지

That's everything — thank you for the detailed feedback! Your responses will go straight to the team improving the flight booking assistant's accuracy and handoff process.

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 the respondent's most recent chatbot session step by step, capturing what actually happened rather than a hindsight rating.
  • Pairs that reconstruction with quantitative measures — an ease-of-use opinion scale, an understanding rating, a trust/agreement matrix, and a max-diff on potential improvements — for both depth and comparability.
  • Directly asks how the interaction ended, isolating the exact moment users bail out to a human agent rather than just an overall satisfaction score.
  • Segments results by recent flight frequency and age range so completion and trust patterns can be broken out by traveler type.

SurveySparrow

Flight Booking Chatbot Template | Automate Travel Queries

This is a fielding-ready conversational chatbot/survey template aimed at automating flight booking queries, making it a genuine adjacent offering. It's built around SurveySparrow's chat-style UI and automation, but it reads as a general query/booking flow rather than a dedicated instrument for probing trust and bail-out points. No indication it reconstructs a specific past chatbot session in the respondent's own words.

잘하는 점

  • Conversational, chat-style question format that feels native to a chatbot context
  • Backed by an established CX/survey automation platform with broader workflow integrations
  • Likely quick to deploy for general travel query handling

아쉬운 점

  • Relies on fixed branching logic rather than adaptive AI follow-up questions generated from the respondent's own answers
  • No mechanism to reconstruct the respondent's actual most recent chatbot session step-by-step
  • No published per-response quality scoring or transparent prompt methodology

QuestionPro

Airline's flight experience survey template

A fielding-ready survey template from an established research platform, but it targets overall airline flight experience rather than chatbot task completion or trust specifically. Useful as a general travel-satisfaction benchmark, though it isn't purpose-built to isolate where chatbot interactions succeed, fail, or escalate to a human. Content appears to be static questions rather than an adaptive interview.

잘하는 점

  • Covers broad airline flight experience touchpoints beyond just digital self-service
  • Part of a mature survey platform with standard reporting and analytics
  • Ready to deploy without custom build work

아쉬운 점

  • Not specific to chatbot usability, so it likely misses granular task-completion and bail-out-to-human moments
  • Static question set with no adaptive AI probing based on individual responses
  • No session reconstruction or transparent prompt disclosure for how follow-up questions are generated

설문을 공개할 준비가 되셨나요?

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

Use this template무료로 시작하기