TRIP PLANNER
TRIP PLANNER
T-BANK TRAVEL
T-BANK TRAVEL
LEAD DESIGHER
LEAD DESIGHER
2025
2025
FAVOURITES
T-BANK TRAVEL
LEAD DESIGHER
2025
Trip Planner is a travel-building tool that allows users to flexibly customize their preferences from travel style to budget, while AI technology suggests the most suitable trip options.
Trip Planner is a travel-building tool that allows users to flexibly customize their preferences from travel style to budget, while AI technology suggests the most suitable trip options.
Problem
Problem
To find flights or hotels in the service, users need to know the exact travel dates and destination. The service also lacks a unified search, as it was technically complex and expensive to implement. As a result, users have limited opportunities to explore possible destinations and get inspired to travel.
To find flights or hotels in the service, users need to know the exact travel dates and destination. The service also lacks a unified search, as it was technically complex and expensive to implement. As a result, users have limited opportunities to explore possible destinations and get inspired to travel.
Goal
Goal
Inspire users to travel even if they don’t know the exact dates or destination, and enable them to build their trip based on their budget.
Inspire users to travel even if they don’t know the exact dates or destination, and enable them to build their trip based on their budget.
Metrics we influence
Metrics we influence
✦ increasing the number of orders
✦ raising the average transaction value
✦ improve retention
✦ increasing the number of orders
✦ raising the average transaction value
✦ improve retention
Hypothesis
Hypothesis
✦ if travel builder content is personalized using AI API, user loyalty will increase
✦ if users are given the option to choose flexible travel dates, trip discovery will become easier, leading to higher loyalty and retention
✦ if users can set a trip budget, search results will become more personalized, resulting in an increase in bookings
✦ if users can flexibly customize travel type and destinations, retention will increase
✦ analyzed quantitative and qualitative data to understand user needs, synchronized them with business goals
✦ developed the concept of the «favorites in the future»
✦ discussed the concept with the team and made necessary adjustments
✦ divided the project into several iterations for phased implementation
✦ thoroughly worked through each iteration and prepared specifications for development
✦ analyzed quantitative and qualitative data to understand user needs, synchronized them with business goals
✦ developed the concept
✦ discussed the concept with the team and made necessary adjustments
✦ divided the project into several iterations for phased implementation
✦ thoroughly worked through each iteration and prepared specifications for development
✦ analyzed quantitative and qualitative data to understand user needs, synchronized them with business goals
✦ developed the concept of the «favorites in the future»
✦ discussed the concept with the team and made necessary adjustments
✦ divided the project into several iterations for phased implementation
✦ thoroughly worked through each iteration and prepared specifications for development
What was done
What was done
Launched an MLP version of the Trip Planner with AI-powered destination recommendations based on selected parameters
In winter 2024, the release of the first iteration of favorites took place. Users were able to add and remove hotels from the section. But there was no ability to select location, dates, and number of guests, or to view hotel prices.
Launched an MLP version of the Trip Planner with AI-powered destination recommendations based on selected parameters
The builder is flexible, allowing users to select multiple parameters
In winter 2024, the release of the first iteration of favorites took place. Users were able to add and remove hotels from the section. But there was no ability to select location, dates, and number of guests, or to view hotel prices.
The builder is flexible, allowing users to select multiple parameters
Users can set the trip budget
In winter 2024, the release of the first iteration of favorites took place. Users were able to add and remove hotels from the section. But there was no ability to select location, dates, and number of guests, or to view hotel prices.
Users can set the trip budget
In the destination card, we highlighted the key features of the location to capture attention and inspire users to explore the trip in more detail
In winter 2024, the release of the first iteration of favorites took place. Users were able to add and remove hotels from the section. But there was no ability to select location, dates, and number of guests, or to view hotel prices.
In the destination card, we highlighted the key features of the location to capture attention and inspire users to explore the trip in more detail
Added an onboarding animation for the entry point to the planner on the main travel page
In winter 2024, the release of the first iteration of favorites took place. Users were able to add and remove hotels from the section. But there was no ability to select location, dates, and number of guests, or to view hotel prices.
Added an onboarding animation for the entry point to the planner on the main travel page
Result
Result
At the moment the feature is in the process of AB testing. After the test results are finalized, we plan to move to the next stage of the project, focused on strengthening personalization and deeper integration with the AI assistant.
At the moment the feature is in the process of AB testing. After the test results are finalized, we plan to move to the next stage of the project, focused on strengthening personalization and deeper integration with the AI assistant.
✦ the implementation of favorites improved our key metrics
✦ in this task, the team and I tried the practice of iterative approach for faster delivery of value to users, and now we are implementing this practice for almost all major tasks
✦ we collected user feedback and identified points for improvement
✦ the development of the next iteration is planned
more WORKS
more WORKS