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AI & Technology

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.

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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12問・約7分
Q01
メッセージ

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
選択式必須

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
オピニオンスケール必須

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

スケール: 1 – 7
最小:Very difficult最大:Very easy
Q04
選択式必須

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
評価スケール必須

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

範囲: 1 – 5
最小:Frequently misunderstood me最大:Understood me every time
Q06
マトリクス必須

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

5行 × 5列
  • 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
列: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q07
AIインタビュー

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
オピニオンスケール必須

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

スケール: 0 – 10
最小:Not at all likely最大:Extremely likely
Q09
ベスト・ワースト選択（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
各セットで最も良いもの・最も悪いものを選択最も良い:Most impactful最も悪い:Least impactful
Q10
選択式

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
選択式

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
メッセージ

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.

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 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.

優れている点

  • 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

物足りない点

  • 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.

優れている点

  • 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

物足りない点

  • 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

よくあるご質問

「Flight Booking Chatbot Usability & Trust 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12問含まれており、最初の設問は次のとおりです：「Thanks for trying out our flight booking assistant! We'd like to hear about your most recent interaction with it — what…」・「What were you trying to do the last time you used the chatbot?」・「How easy was it to get what you needed from the chatbot in that interaction?」。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、12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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