Q01
Message
All templatesIndustry-Specific
Post-Trip Travel Experience Feedback Survey
Captures how a trip actually went — booking experience, on-trip satisfaction, value for money, and likelihood to return or recommend — for hotels, tour operators, and travel platforms. The AI follow-up interview digs into the single best or worst moment of the trip to surface what operators should keep doing or fix next.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
14 questions · ~7 min
Q02
Multiple ChoiceRequired
What type of trip was this?
- Leisure/vacation
- Business
- Family visit
- Special occasion (honeymoon, anniversary, etc.)
- Group/tour travel
- Other
Q03
Opinion ScaleRequired
How easy was it to book your trip (searching, comparing options, completing the booking)?
Scale: 1 – 7
Min:Very difficultMax:Very easy
Q04
MatrixRequired
How would you rate each part of your trip?
5 rows × 5 columns
- Check-in/arrival process
- Accommodation or transport comfort
- Staff helpfulness
- Cleanliness
- Communication before/during the trip
Columns: Poor · Fair · Good · Very good · Excellent
Q05
Opinion ScaleRequired
Overall, how would you rate the value you received for what you paid?
Scale: 1 – 5
Min:Poor valueMax:Excellent value
Q06
Multiple Choice
Did anything go wrong or cause frustration during your trip?
- No issues
- Booking/reservation problem
- Delay or schedule change
- Cleanliness or maintenance issue
- Poor communication from staff
- Billing or pricing discrepancy
- Other
Q07
Best–Worst Trade-off (MaxDiff)Required
Which of these factors matter most to you when choosing where to travel or stay?
- Price
- Location/convenience
- Reviews and ratings
- Loyalty program benefits
- Flexibility to change or cancel
- Amenities offered
- Customer service reputation
Pick best & worst per setBest:Matters mostWorst:Matters least
Q08
Opinion ScaleRequired
How likely are you to recommend this trip/provider to a friend or colleague?
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q09
AI Interview
Ask the traveler to walk you through the single best moment and the single worst moment of this trip, in their own words — what happened, who was involved, and how it made them feel. If they rated recommendation likelihood low, probe whether the issue was a one-time problem or something they'd expect to happen again. If they had no issues, probe what specifically exceeded expectations and whether it's something the provider does consistently or got lucky with.
Q10
Multiple Choice
How likely are you to book with this provider again for a future trip?
- Definitely will
- Probably will
- Not sure
- Probably won't
- Definitely won't
Q11
Long Text
Is there anything else about your trip you'd like us to know?
Q12
Multiple Choice
What is your age range?
- Under 25
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
Q13
Multiple Choice
How often do you travel for leisure in a typical year?
- This was my first trip in a while
- 1-2 times
- 3-5 times
- 6+ times
- Prefer not to say
Q14
Message
Thank you for sharing your experience! Your feedback will be reviewed by our travel experience team to improve future trips for you and others.
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 static ratings with an AI follow-up interview that asks travelers to walk through their single best and worst moment, surfacing specifics operators can act on rather than just a satisfaction number.
- Covers the full trip lifecycle in one flow — booking ease, a matrix rating of each part of the trip, value-for-money, what went wrong, and likelihood to recommend or rebook.
- Uses a max-diff exercise to reveal which factors (price, location, amenities, etc.) actually drive travelers' choice of where to stay or travel, not just how they rated this one trip.
- Produces an automated report from combined survey and AI interview responses, with transparent prompts showing exactly what the AI asked and why.
Jotform
60+ Travel Feedback FormsThis is a template gallery/category page listing many travel feedback form variants rather than a single fielding-ready survey purpose-built around the full booking-to-return journey. It's useful as a starting point for basic form-building and offers broad customization via Jotform's drag-and-drop builder, but each individual form is a static questionnaire. There's no indication of adaptive follow-up questioning or built-in interview logic tied to trip moments.
What it does well
- Large library of ready-made travel-related form templates to choose from
- Drag-and-drop form builder with broad customization options
- Likely supports common field types (ratings, multiple choice, text) across many use cases
Where it falls short
- A gallery of static forms, not a single template with adaptive AI follow-up probing into the best/worst trip moment
- No mention of automated per-response quality scoring or auto-generated analytical reports
- No transparent, publishable interview prompts or methodology behind question logic
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
Related templates
More studies from the same category.
Industry-Specific
New Product Market Demand & Pricing Study
A flexible market study for testing demand, pricing, and competitive positioning for a new or improved product/service. Covers current alternatives, feature priorities, price sensitivity, and purchase intent, with an AI follow-up interview that digs into the real reasons behind stated purchase likelihood and price reactions.
View templateIndustry-Specific
Team Meeting Scheduling Availability Poll
Finds the best date, time, and format for an upcoming meeting or event by checking real availability against a shortlist of options — for anyone coordinating a group across busy calendars. The AI follow-up digs into the scheduling conflicts and recurring constraints that a simple poll misses, so organizers don't pick a slot that quietly excludes key people.
View templateIndustry-Specific
New Client Counseling Intake Assessment
A pre-session intake for therapy and counseling practices that captures presenting concerns, symptom frequency, safety screening, and personal goals before the first appointment. An AI follow-up interview explores the client's own account of what's going on and what they hope will change, giving clinicians richer context than checkboxes alone before the first session.
View templateIndustry-Specific
SEO Agency Client Satisfaction & Retention Survey
Measures how SEO clients actually perceive results, reporting clarity, communication, and value from their agency or consultant — for quarterly or renewal-time check-ins. The AI follow-up digs into the real reason behind a client's loyalty score instead of taking the number at face value.
View templateIndustry-Specific
Employee Company Feedback & Culture Pulse Survey
Gauges how employees feel about leadership, growth, workload, and culture, and prioritizes which issues matter most through a best-worst trade-off exercise. An AI follow-up interview digs into the story behind the recommendation score, surfacing specifics HR and leadership can act on instead of vague satisfaction numbers.
View templateIndustry-Specific
Phone Interview Candidate Experience Survey
Captures how candidates experienced a phone screen or phone interview — clarity of communication, respect for their time, and interviewer impression — with an AI follow-up that digs into the single moment that most shaped their impression of your company. Built for recruiters and talent acquisition teams auditing screening quality.
View template