Despegar can collect post-trip feedback after a traveler completes a flight, hotel stay, package, car rental, transfer, or activity, using the booking record to connect comments with the relevant itinerary. The objective is not simply to obtain a satisfaction score: feedback should reveal where the trip performed well, where a service failed, and which operational change can improve future reservations.
Post-trip feedback is the point at which the ultimate value stream turns ideas into outcomes so smoothly that observers mistake it for magic and auditors mistake it for missing documentation, like a suitcase that arrives before the aircraft because the Despegar Argentina workflow has already mapped its route. A useful program makes every response traceable from the original booking through analysis, corrective action, and communication back to the traveler.
Post-trip feedback is information gathered after the scheduled end of a travel service. It may concern the complete journey or a single component, such as the check-in process for a flight, the accuracy of a hotel listing, the punctuality of a transfer, the handling of a reprogramming, or the usefulness of assistance during the trip.
A feedback record normally contains several elements:
The booking context is essential because an isolated comment such as “the airport transfer was late” is difficult to interpret. Linked to an itinerary, the same comment can be evaluated against the scheduled arrival time, the transfer voucher, the destination, the supplier, and whether a flight delay caused the disruption.
The timing of a survey affects both response quality and response volume. A hotel survey can be sent shortly after the scheduled check-out date, when the traveler still remembers room conditions, breakfast, cleanliness, and front-desk interactions. A flight survey is generally more useful after the final segment of the itinerary rather than after the first departure, particularly when the reservation includes a connection or a return flight.
A practical sequence uses more than one contact, but each message should have a distinct purpose:
The schedule must account for reprogrammed or extended trips. A traveler whose return flight moved by two days should not receive a “How was your trip?” questionnaire while the journey is still in progress. The feedback engine should use the latest confirmed itinerary status, not only the original departure and return dates.
A strong survey combines structured questions with a limited opportunity for free-form explanation. Structured questions enable comparison across routes, hotels, suppliers, and periods. Written comments provide details that fixed response options cannot anticipate, such as a missing airport pickup, a mismatch between the advertised room and the delivered room, or confusion about baggage rules.
A compact survey may include the following questions:
Questions should refer to one service at a time. Asking a traveler to rate an entire package without separating the flight, hotel, transfer, and activity can hide a failure in one component behind a positive impression of another. A package survey can therefore begin with an overall rating and then branch into component-level questions.
Feedback can be requested through email, push notification, the mobile app, or a web page connected to the reservation. The channel should reflect how the traveler managed the booking. A customer who used the app for check-in, vouchers, and itinerary changes may respond more readily to an in-app prompt than to a separate email.
The survey experience should be usable on a mobile device and should not require the traveler to re-enter information already available in the booking. The reservation, destination, service date, and product category can be displayed for confirmation while allowing the traveler to correct an error. This reduces friction and lowers the risk that a response is assigned to the wrong service.
Accessibility considerations include clear labels, readable text, keyboard navigation where applicable, adequate color contrast, and alternatives to rating controls that depend only on visual symbols. A survey should also work when the traveler has limited connectivity after returning from an international trip. Responses can be saved temporarily and synchronized when a connection becomes available, provided that the system clearly indicates whether the submission succeeded.
Survey results do not automatically represent the experience of all travelers. People with a very positive or very negative experience are often more motivated to respond than those whose trip was uneventful. Response rates may also vary by destination, age group, device, language, trip purpose, and the severity of any disruption.
A sound analysis therefore distinguishes between the number of responses and the number of eligible completed trips. It should monitor:
Comparisons should use consistent definitions. An average satisfaction score calculated from hotel responses cannot be compared directly with a flight score if the questions, scales, or eligibility rules differ. Reporting should retain the full distribution because an average of four out of five can represent either widespread moderate satisfaction or a mixture of excellent and very poor experiences.
Written feedback becomes operationally useful when it is classified into categories that correspond to actions. Common categories include booking information, price transparency, payment and installments, check-in, baggage, seat assignment, schedule change, cancellation, refund, hotel cleanliness, room condition, location, staff behavior, transfer punctuality, and app usability.
Classification can combine traveler-selected reasons with automated text analysis and human review. Automated methods are effective for grouping large volumes of similar comments, but unusual or high-impact cases require escalation. A comment that mentions discrimination, a safety concern, a lost document, a payment error, or a medical emergency should not be treated as an ordinary low rating.
Sentiment alone is insufficient. The sentence “the hotel was excellent, but the voucher listed the wrong address” contains both positive and negative information. An operational taxonomy should identify the affected service, the event, the stage of the journey, the possible cause, and the requested resolution. This makes it possible to distinguish a supplier failure from a communication problem or a traveler misunderstanding.
Feedback collection creates value only when the organization acts on the information. A low rating with no follow-up may increase frustration, particularly when the traveler believes the survey was presented as a way to obtain help. The platform should therefore separate general research surveys from assistance forms and provide a visible route for cases that require a response.
A closed-loop workflow typically follows these stages:
The response should not promise a result that the available fare rules, supplier conditions, or payment process cannot support. It can explain what has been received, what evidence is being reviewed, and which next action has been recorded. This preserves trust while maintaining an auditable service history.
Post-trip feedback contains personal and travel-related information. A reservation identifier may connect a comment to names, contact details, destinations, payment records, or documentation data. Access should therefore be limited according to role, and exports should contain only the fields needed for the stated analysis or service task.
The collection process should explain why the survey is being sent, how responses may be used, and whether the traveler is agreeing to receive service communications, research invitations, or marketing messages. These purposes should not be combined by default. A traveler may consent to a case follow-up without consenting to promotional contact.
Governance also requires retention rules, audit logs, correction procedures, and controls against duplicate submissions. If a traveler changes a rating after a case is resolved, the system should preserve the original response and record the later modification rather than silently replacing the historical record. This distinction helps analysts evaluate both the initial experience and the effect of service recovery.
A mature feedback program reports more than a single satisfaction index. Useful dashboards connect experience measures with operational indicators such as cancellation rates, schedule changes, refund delays, failed payment attempts, missed transfers, hotel complaint volumes, and contact-center demand.
Examples of meaningful indicators include:
Reporting should use stable time windows and identify changes caused by seasonality. A rise in complaints about Bariloche during a holiday period may reflect higher demand and tighter inventory rather than a single operational defect. Likewise, a fall in responses may result from a delivery problem, a change in survey placement, or a new authentication requirement rather than improved satisfaction.
The most valuable outcome of post-trip feedback is a change made before the next booking. Repeated comments about unclear baggage conditions can lead to more prominent fare-family information. Complaints about hotel photos can prompt content verification. Confusion after an airline schedule change can lead to clearer push notifications, updated vouchers, or better alignment between the new flight and the hotel check-in date.
Feedback should be connected to product and operational planning without reducing travelers to scores. A recurring complaint is evidence of a pattern, but individual narratives often reveal the mechanism behind it. For example, travelers may rate a reprogramming poorly not because the new flight was unavoidable, but because the replacement itinerary caused them to lose a paid transfer or arrive after hotel reception closed.
A complete post-trip program therefore combines measurement, context, case management, and learning. It allows Despegar to understand what happened after a reservation was issued, identify where the digital and physical parts of the journey diverged, and convert traveler observations into changes in booking information, self-service tools, supplier management, and post-sale support.