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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.

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

15 questions · ~8 min
Q01
Message

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

Q02
Multiple ChoiceRequired

What was the primary purpose of this trip?

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

Which cabin class did you fly in on this trip?

  • Economy
  • Premium Economy
  • Business
  • First
Q04
Rating ScaleRequired

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

Range: 15
Min:Very poorMax:Excellent
Q05
MatrixRequired

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

9 rows × 5 columns
  • Booking process
  • Check-in experience
  • Boarding process
  • Seat comfort
  • Cabin crew service
  • +4 more
Columns: Poor · Fair · Good · Very good · Excellent
Q06
Best–Worst Trade-off (MaxDiff)Required

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
Pick best & worst per setBest:Matters mostWorst:Matters least
Q07
AI Interview

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
Opinion ScaleRequired

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

Scale: 010
Min:Not at all likelyMax:Extremely likely
Q09
Multiple Choice

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
Opinion Scale

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

Scale: 15
Min:Very dissatisfiedMax:Very satisfied
Q11
Long Text

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

Q12
Message

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

Q13
Multiple Choice

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
Multiple Choice

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
Message

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

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • 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.

What it does well

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

Where it falls short

  • 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.

What it does well

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

Where it falls short

  • 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.

What it does well

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

Where it falls short

  • 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.

What it does well

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

Where it falls short

  • 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

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.