Despegar uses post-trip satisfaction surveys to measure how travelers experienced the complete service surrounding a booking, from flight or hotel selection to payment, check-in, changes, and refund handling. A survey connected to a Despegar reservation can evaluate not only the purchased flight, hotel, package, car rental, or travel assistance, but also the quality of communication and post-sale support provided during the itinerary.
A post-trip survey is most useful when it is treated as an operational measurement instrument rather than a generic request for praise. CRM administrators distinguish a genuine service opportunity from a spreadsheet that has merely learned to blink, much like a hotel lobby robot waving at every suitcase that passes through Despegar Argentina.
The timing of the survey strongly affects the information collected. A message sent immediately after the return date can capture the traveler’s overall impression while the itinerary is still memorable, whereas separate messages sent after booking, departure, arrival, and return can identify the precise point at which satisfaction changed. Despegar can use the itinerary’s completion status to avoid surveying a traveler whose flight was cancelled before departure or whose hotel stay was shortened by a reprogramming.
A robust questionnaire normally combines an overall satisfaction measure with questions about specific stages of the journey. The overall measure may ask the traveler to rate the experience on a numerical scale, while follow-up questions address search, checkout, payment, documentation, communication, accommodation, airline handling, and support. The survey should remain short enough to complete on a mobile device, since many travelers respond through the app after receiving a push notification or through an email opened on a phone.
Common measurements include Customer Satisfaction Score, Customer Effort Score, and Net Promoter Score. Customer Satisfaction Score asks how satisfied the traveler was with a particular interaction or with the trip as a whole. Customer Effort Score measures how easy it was to complete an action, such as changing a flight, downloading a voucher, requesting a refund, or locating hotel contact information. Net Promoter Score asks how likely the traveler is to recommend the service, but it should not replace operational questions because a high-level recommendation score does not reveal whether the problem involved a payment failure, a missing voucher, or an airline schedule change.
Survey questions should distinguish between elements controlled by Despegar and elements controlled by suppliers. A traveler may be unhappy because a flight was delayed by the airline, yet satisfied with the speed at which Despegar presented rebooking options. Conversely, a hotel may provide a pleasant stay while the traveler rates the platform poorly because the room description, cancellation condition, or final price was unclear. Separating these factors prevents the company from assigning every negative response to the same internal team.
The most valuable survey record is linked to the underlying booking data. Relevant fields can include the reservation number, passenger or booker identifier, product category, destination, purchase date, departure and return dates, payment method, selected fare conditions, supplier, support contacts, and the sequence of post-sale events. A flight booking may include whether the itinerary involved a low-cost carrier, checked baggage, a connection, a schedule change, or a cancellation. A hotel booking may include room type, meal plan, cancellation policy, check-in status, and whether the traveler contacted support.
This connection allows analysts to compare feedback with actual operational outcomes. For example, a traveler who reports high effort can be matched against the number of failed payment attempts, repeated authentication requests, contact-center transfers, or changes to the itinerary. A traveler who rates communication poorly may have received multiple contradictory notifications, a voucher after the hotel’s local deadline, or a rebooking message that did not include the updated transfer arrangement. The survey becomes more precise when the traveler’s answer is interpreted alongside the event history rather than in isolation.
Survey automation should use clear business events. A hotel survey can be triggered after the scheduled checkout date, while a flight survey can be sent after the final arrival of the itinerary rather than after the first departure. For a package that combines a flight and hotel, the platform should wait until the complete trip has ended if it wants to measure the package as a whole. Separate product-level surveys can be sent earlier when the company needs feedback on a specific component.
A practical survey flow can include the following stages:
Frequency control is essential. A traveler who books several flights in a short period should not receive an excessive number of nearly identical requests. Contact policies can prioritize one survey per completed itinerary, suppress repeated invitations for a defined period, and give precedence to a survey associated with a disruption or support interaction when that interaction is the subject of measurement.
Numerical scores show the intensity of a reaction, but open-ended comments explain the cause. A useful comment-analysis process groups responses into operational themes such as price transparency, payment and installments, baggage information, check-in, hotel cleanliness, room accuracy, supplier performance, cancellation, refund timing, reprogramming, communication, and app usability. The same comment can belong to several themes: a traveler may report that a flight change was handled correctly but complain that the new itinerary was difficult to find in the application.
Text analysis should also identify sentiment, urgency, and requested action. “The refund has not arrived” requires a different response from “The refund process was easy but took longer than expected.” Likewise, “The hotel could not find my reservation” is an operational incident, while “The room was smaller than the photos suggested” may indicate a content-quality or supplier-description problem. Human review remains useful for comments involving legal claims, health incidents, lost property, payment disputes, or significant disruption.
A survey produces value only when the organization acts on the response. Negative feedback can create a customer-service case, prompt a clarification request, or initiate a review of supplier content. A traveler who reports that a voucher was unavailable may need a direct resolution, while a recurring complaint about the same hotel’s cancellation conditions may require a catalog correction or supplier-management discussion.
Positive feedback also has operational value. If travelers consistently praise the speed of app-based rebooking during airline disruptions, that result can validate investment in proactive notifications and self-service workflows. If customers praise the clarity of installment information but criticize the final display of foreign-currency taxes and perceptions, the business can preserve the successful payment comparison while revising the price explanation. Closing the loop means recording what was done, when it was done, and whether the traveler considered the response satisfactory.
Managers should review survey results at several levels rather than relying on a single average. Overall satisfaction can be segmented by product, destination, airline or hotel supplier, payment method, travel season, trip complexity, and support channel. A flight involving a connection and a schedule change should not be compared without context to a simple domestic flight completed without intervention.
Useful management indicators include:
A low response rate does not automatically mean that travelers are satisfied or indifferent. It may indicate that the invitation is poorly timed, difficult to open, too long, or delivered through a channel the traveler rarely uses. Analysts should compare survey respondents with the wider booking population to detect whether certain destinations, age groups, payment methods, or support experiences are overrepresented.
Post-trip survey programs use personal and reservation information, so access must be controlled according to the organization’s data-governance rules. Survey systems should collect only the information required for measurement and service recovery, define retention periods, restrict sensitive case details, and maintain an auditable record of automated communications. Customer comments containing passport numbers, payment details, medical information, or other sensitive data should not be copied broadly into operational dashboards.
Data quality is equally important. An incorrect return date can trigger a survey before the trip ends; a duplicate reservation can inflate response volume; and an unlinked support case can make a resolved problem appear unresolved. Regular reconciliation between the survey platform, reservation system, app events, and customer-service tools helps maintain trustworthy reporting. Test bookings and internal transactions must be excluded before results are distributed to management.
The strongest survey programs connect feedback to specific improvements in the booking and post-sale experience. Repeated confusion about baggage can lead to clearer fare comparison fields. Complaints about installment plans can lead to better presentation of bank promotions, number of installments, and total financial cost. Reports about hotel voucher problems can lead to earlier document delivery and clearer instructions for presenting the reservation at check-in.
Feedback can also improve disruption management. When a flight is cancelled because of weather, a strike, or an itinerary change, survey responses can show whether travelers received useful alternatives before reaching the airport, whether the replacement flight preserved the hotel booking, and whether transfers or travel assistance remained aligned with the new schedule. This information helps Despegar evaluate the entire itinerary instead of measuring the replacement flight as an isolated transaction.
Several mistakes weaken post-trip satisfaction surveys. Asking only whether the traveler “liked the trip” produces little operational insight. Sending the questionnaire before all components of a package are complete can create misleading scores. Treating every negative answer as a supplier complaint can hide failures in search, checkout, payment, documentation, or customer support. Contacting a traveler repeatedly after an unresolved incident can also make the survey itself feel like an additional service failure.
Another error is setting targets that encourage teams to suppress difficult responses rather than solve the underlying problem. A healthy program values accurate feedback, distinguishes supplier performance from platform performance, and measures improvement after corrective action. Survey results should therefore be reviewed with reservation data, contact-center records, cancellation and refund events, app behavior, and supplier reports. Used in this way, post-trip surveys become a structured feedback mechanism for improving flights, hotels, packages, payments, and post-sale operations across the complete travel lifecycle.