FAVOURITES

FAVOURITES

FAVOURITES

T-BANK TRAVEL

T-BANK TRAVEL

T-BANK TRAVEL

SENIOR DESIGHER

SENIOR DESIGHER

SENIOR DESIGHER

2023 — 2024

2023 — 2024

2023 — 2024

How we developed the functionality of favorites lists and how it increased conversion to payment among users who used this feature.

How we developed the functionality of favorites lists and how it increased conversion to payment among users who used this feature.

How we developed the functionality of favorites lists and how it increased conversion to payment among users who used this feature

How we developed the functionality of favorites lists and how it increased conversion to payment among users who used this feature.

Value of the solution

Value of the solution

Value of the solution

For the client

For the client

For the client

The ability to add hotels to favorites, view these lists, select/edit travel dates and guests, and compare prices for favorite hotels.

The ability to add hotels to favorites, view these lists, select/edit travel dates and guests, and compare prices for favorite hotels.

The ability to add hotels to favorites, view these lists, select/edit travel dates and guests, and compare prices for favorite hotels.

For the business

For the business

For the business

Increased customer loyalty and conversion rates for bookings.

Increased customer loyalty and conversion rates for bookings.

Increased customer loyalty and conversion rates for bookings.

Hypotheses (partially)

Hypotheses (partially)

Hypotheses (partially)

If the necessary filters are automatically pre-selected in favorites, the user will see prices for their favorite hotels faster, which will lead to reduced time for comparing/selecting a hotel and increased loyalty.

If the necessary filters are automatically pre-selected in favorites, the user will see prices for their favorite hotels faster, which will lead to reduced time for comparing/selecting a hotel and increased loyalty.

If the necessary filters are automatically pre-selected in favorites, the user will see prices for their favorite hotels faster, which will lead to reduced time for comparing/selecting a hotel and increased loyalty.

Work stages

Work stages

Work stages

✦ 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

✦ 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

Results of the first iteration

Results of the first iteration

Results of the first iteration

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 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 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.

About 7%-8% of users utilized the favorites functionality. There was an increased conversion (±2 times) in clicks to payment among users who used favorites

About 7%-8% of users utilized the favorites functionality. There was an increased conversion (±2 times) in clicks to payment among users who used favorites

About 7%-8% of users utilized the favorites functionality. There was an increased conversion (±2 times) in clicks to payment among users who used favorites

Results of the second iteration

Results of the second iteration

Results of the second iteration

After the launch of the second iteration, users have gained capabilities:

✦ add and remove hotels from favorites

✦ select travel dates

✦ specify the number of guests

✦ choose a location

✦ compare prices for favorite hotels

After the launch of the second iteration, users have gained capabilities:

✦ add and remove hotels from favorites

✦ select travel dates

✦ specify the number of guests

✦ choose a location

✦ compare prices for favorite hotels

After the launch of the second iteration, users have gained capabilities:

✦ add and remove hotels from favorites

✦ select travel dates

✦ specify the number of guests

✦ choose a location

✦ compare prices for favorite hotels

The trend of increased conversion (±2 times) in clicks to payment among users who used favorites continues.

The trend of increased conversion (±2 times) in clicks to payment among users who used favorites continues.

The trend of increased conversion (±2 times) in clicks to payment among users who used favorites continues.

Conclusions and further steps

Conclusions and further steps

Conclusions and further steps

✦ 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

✦ 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

✦ 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

✦ 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