Content

Overview

Enhancing Pre-Booking Experience: Simplifying Taxi Services for Booking.com Users

Duration

Oct 2019 - Jan 2020

My Role

UI/UX Designer

Travel Solution

Booking Platform

Web Application

Mobile Application

Booking.com

Booking.com is a leading online travel platform that connects millions of travellers with diverse accommodation options worldwide. From hotels and vacation rentals to unique stays and experiences, Booking.com offers a seamless booking experience, comprehensive customer support, and tailored recommendations to help travellers find the perfect place to stay for their trips.

Problem

From research, we learned that 8.3% of travellers pre-booked a taxi for their last trip and an additional 6.81% considered booking a taxi with us. We considered this as a sizeable audience and an opportunity for us to deliver more value to our customers.

Result

The experiment ran for 8 weeks, significantly more visitors (gross +0.0006%, net +0.0004%) became accommodation re-bookers. However, on the contrary, we started getting requests like - customers want a particular type of taxi and that became a different problem entirely.

Goal

To optimize the booking experience and increase customer satisfaction by simplifying messaging, enhancing accommodation conversion, and improving rebooking metrics.

Objectives

  • Make sure customers understand our offers without needing to contact customer service.

  • Get more people to book accommodations when they visit the platform.

  • Encourage customers to choose Booking.com again for their next trip.

My Process

Using the Double Diamond Design Process, we discovered from research that 8.3% of travellers pre-booked taxis and 6.81% considered booking with us, highlighting a significant opportunity. We defined the problem of converting these potential users, developed and tested solutions over 8 weeks, and delivered improvements that increased re-bookings slightly. However, we also identified a new challenge of customers requesting specific types of taxis, demonstrating the need for ongoing iteration and refinement.

User Persona

USER PERSONA

Sarah

“I rely on pre-booking services to make my travel experience seamless and stress-free”

Scenario

Tara is planning a business trip to Chicago. She wants to ensure everything is pre-booked, from flights to accommodation and transportation. She logs into our platform, appreciating the streamlined process for booking accommodation and now considering pre-booking a taxi to avoid the hassle upon arrival. However, she wishes she could specify the type of taxi, such as a luxury sedan for a comfortable ride to her meeting location.

Age

34

Education

B.Sc. Mass Communication

Occupation

Marketing Manager

Location

Seattle, Washington

Goals

  • To have a seamless and hassle-free travel experience.

  • To save time by booking all travel-related services in advance.

  • To ensure reliable and comfortable transportation upon arrival.

Challenges

  • She experiences occasional stress related to travel logistics and values services that minimize this aspect.

  • Sarah expects high service standards and clear communication from the taxi booking platform

  • Sarah spends a lot on travel and is eager to save money whenever she can.

Technology and Tools

  • Travel Apps: Expedia, Airbnb, Uber

  • Social Media: Instagram, Facebook, Twitter

  • Navigation: Google Maps, Apple Maps

Personality

  • Organized

  • Adventurous

  • Detail Oriented

Hi-Fi

In the high-fidelity iteration of the Booking.com platform, we focused on enhancing the user experience and delivering clear value to our customers through several key features:

Free Taxi Indication for Bookings Above a Certain Amount in Search Results

The high-fidelity design now includes a clear indication in the search results, highlighting free taxi services for bookings above a certain amount. This feature aims to attract more customers by showcasing added value directly in their search experience, making the platform more competitive and appealing.

Discount Indication on the Hotel Page

In the high-fidelity iteration, the hotel page now prominently displays any discounts offered. This transparent pricing strategy enhances user trust and encourages more bookings by clearly showing the value and savings customers can achieve.

Discount Display Just Before Completing Your Booking

The high-fidelity design now shows any applicable discounts at the stage where users enter their details, just before completing their booking. This ensures that customers are fully aware of the savings they are receiving, providing a sense of satisfaction and reinforcing the benefits of booking through the platform.

Booking Savings Display on the Complete Booking Stage

Upon completing a booking, users now see a detailed breakdown of their total savings in the high-fidelity iteration. This final confirmation of the value they’ve received enhances customer satisfaction and loyalty, leaving them with a positive impression of their overall booking experience.

Takeaways

Experiment results

Over the 8-week experiment, there was a marginal increase in the number of visitors who became accommodation re-bookers, indicating some success in improving rebooking metrics.

New customer requests

Customers started asking for specific types of taxis, which was a new challenge for us. We realized we needed to improve how we offer different types of taxi services.

Designing and adapting

We kept improving our designs based on feedback. This included making booking processes easier and improving overall customer experience.

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4th Version

© 2024. Made by Ephraim

4th Version

© 2024. Made by Ephraim

4th Version

© 2024. Made by Ephraim

4th Version

Overview

Enhancing Pre-Booking Experience: Simplifying Taxi Services for Booking.com Users

My Role

UI/UX Designer

Duration

Oct 2019 - Jun 2020

Travel Solution

Booking Platform

Web Application

Mobile Application

Booking.com

Booking.com is a leading online travel platform that connects millions of travellers with diverse accommodation options worldwide. From hotels and vacation rentals to unique stays and experiences, Booking.com offers a seamless booking experience, comprehensive customer support, and tailored recommendations to help travellers find the perfect place to stay for their trips.

Problem

From research, we learned that 8.3% of travellers pre-booked a taxi for their last trip and an additional 6.81% considered booking a taxi with us. We considered this as a sizeable audience and an opportunity for us to deliver more value to our customers.

Result

The experiment ran for 8 weeks, significantly more visitors (gross +0.0006%, net +0.0004%) became accommodation re-bookers. However, on the contrary, we started getting requests like - customers want a particular type of taxi and that became a different problem entirely.

Goal

To optimize the booking experience and increase customer satisfaction by simplifying messaging, enhancing accommodation conversion, and improving rebooking metrics.

Objectives

  • Make sure customers understand our offers without needing to contact customer service.

  • Get more people to book accommodations when they visit the platform.

  • Encourage customers to choose Booking.com again for their next trip.

My Process

Using the Double Diamond Design Process, we discovered from research that 8.3% of travellers pre-booked taxis and 6.81% considered booking with us, highlighting a significant opportunity. We defined the problem of converting these potential users, developed and tested solutions over 8 weeks, and delivered improvements that increased re-bookings slightly. However, we also identified a new challenge of customers requesting specific types of taxis, demonstrating the need for ongoing iteration and refinement.

User Persona

USER PERSONA

Sarah

“I rely on pre-booking services to make my travel experience seamless and stress-free”

USER PERSONA

Sarah

“I rely on pre-booking services to make my travel experience seamless and stress-free”

About

Sarah is planning a business trip to Chicago. She wants to ensure everything is pre-booked, from flights to accommodation and transportation. She logs into our platform, appreciating the streamlined process for booking accommodation and now considering pre-booking a taxi to avoid the hassle upon arrival. However, she wishes she could specify the type of taxi, such as a luxury sedan for a comfortable ride to her meeting location.

Age

34

Education

B.Sc. Marketing

Occupation

Marketing Manager

Location

Seattle, Washington

Goals

  • To have a seamless and hassle-free travel experience.

  • To save time by booking all travel-related services in advance.

  • To ensure reliable and comfortable transportation upon arrival.

Challenges

  • She experiences occasional stress related to travel logistics and values services that minimize this aspect.

  • Sarah expects high service standards and clear communication from the taxi booking platform

  • Sarah spends a lot on travel and is eager to save money whenever she can.

Technology and Tools

  • Travel Apps: Expedia, Airbnb, Uber

  • Social Media: Instagram, Facebook, Twitter

  • Navigation: Google Maps, Apple Maps

Personality

  • Organized

  • Adventurous

  • Detail Oriented

Hi-Fi

In the high-fidelity iteration of the Booking.com platform, we focused on enhancing the user experience and delivering clear value to our customers through several key features:

Free Taxi Indication for Bookings Above a Certain Amount in Search Results

The high-fidelity design now includes a clear indication in the search results, highlighting free taxi services for bookings above a certain amount. This feature aims to attract more customers by showcasing added value directly in their search experience, making the platform more competitive and appealing.

Discount Indication on the Hotel Page

In the high-fidelity iteration, the hotel page now prominently displays any discounts offered. This transparent pricing strategy enhances user trust and encourages more bookings by clearly showing the value and savings customers can achieve.

Discount Display Just Before Completing Your Booking

The high-fidelity design now shows any applicable discounts at the stage where users enter their details, just before completing their booking. This ensures that customers are fully aware of the savings they are receiving, providing a sense of satisfaction and reinforcing the benefits of booking through the platform.

Booking Savings Display on the Complete Booking Stage

Upon completing a booking, users now see a detailed breakdown of their total savings in the high-fidelity iteration. This final confirmation of the value they’ve received enhances customer satisfaction and loyalty, leaving them with a positive impression of their overall booking experience.

Takeaways

Experiment results

Over the 8-week experiment, there was a marginal increase in the number of visitors who became accommodation re-bookers, indicating some success in improving rebooking metrics.

New customer requests

Customers started asking for specific types of taxis, which was a new challenge for us. We realized we needed to improve how we offer different types of taxi services.

Designing and adapting

We kept improving our designs based on feedback. This included making booking processes easier and improving overall customer experience.

Overview

Enhancing Pre-Booking Experience: Simplifying Taxi Services for Booking.com Users

My Role

UI/UX Designer

Duration

Oct 2019 - Jun 2020

Travel Solution

Booking Platform

Web Application

Mobile Application

Booking.com

Booking.com is a leading online travel platform that connects millions of travellers with diverse accommodation options worldwide. From hotels and vacation rentals to unique stays and experiences, Booking.com offers a seamless booking experience, comprehensive customer support, and tailored recommendations to help travellers find the perfect place to stay for their trips.

Problem

From research, we learned that 8.3% of travellers pre-booked a taxi for their last trip and an additional 6.81% considered booking a taxi with us. We considered this as a sizeable audience and an opportunity for us to deliver more value to our customers.

Result

The experiment ran for 8 weeks, significantly more visitors (gross +0.0006%, net +0.0004%) became accommodation re-bookers. However, on the contrary, we started getting requests like - customers want a particular type of taxi and that became a different problem entirely.

Goal

To optimize the booking experience and increase customer satisfaction by simplifying messaging, enhancing accommodation conversion, and improving rebooking metrics.

Objectives

To optimize the booking experience and increase customer satisfaction by simplifying messaging, enhancing accommodation conversion, and improving rebooking metrics.

User Persona

USER PERSONA

Sarah

“I rely on pre-booking services to make my travel experience seamless and stress-free”

USER PERSONA

Sarah

“I rely on pre-booking services to make my travel experience seamless and stress-free”

About

Sarah is planning a business trip to Chicago. She wants to ensure everything is pre-booked, from flights to accommodation and transportation. She logs into our platform, appreciating the streamlined process for booking accommodation and now considering pre-booking a taxi to avoid the hassle upon arrival. However, she wishes she could specify the type of taxi, such as a luxury sedan for a comfortable ride to her meeting location.

Age

34

Education

B.Sc. Marketing

Occupation

Marketing Manager

Location

Seattle, Washington

Goals

  • To have a seamless and hassle-free travel experience.

  • To save time by booking all travel-related services in advance.

  • To ensure reliable and comfortable transportation upon arrival.

Challenges

  • She experiences occasional stress related to travel logistics and values services that minimize this aspect.

  • Sarah expects high service standards and clear communication from the taxi booking platform

  • Sarah spends a lot on travel and is eager to save money whenever she can.

Technology and Tools

  • Travel Apps: Expedia, Airbnb, Uber

  • Social Media: Instagram, Facebook, Twitter

  • Navigation: Google Maps, Apple Maps

Personality

  • Organized

  • Adventurous

  • Detail Oriented

My Process

Using the Double Diamond Design Process, we discovered from research that 8.3% of travellers pre-booked taxis and 6.81% considered booking with us, highlighting a significant opportunity. We defined the problem of converting these potential users, developed and tested solutions over 8 weeks, and delivered improvements that increased re-bookings slightly. However, we also identified a new challenge of customers requesting specific types of taxis, demonstrating the need for ongoing iteration and refinement.

Hi-Fi

In the high-fidelity iteration of the Booking.com platform, we focused on enhancing the user experience and delivering clear value to our customers through several key features:

Free Taxi Indication for Bookings Above a Certain Amount in Search Results

The high-fidelity design now includes a clear indication in the search results, highlighting free taxi services for bookings above a certain amount. This feature aims to attract more customers by showcasing added value directly in their search experience, making the platform more competitive and appealing.

Discount Indication on the Hotel Page

In the high-fidelity iteration, the hotel page now prominently displays any discounts offered. This transparent pricing strategy enhances user trust and encourages more bookings by clearly showing the value and savings customers can achieve.

Discount Display Just Before Completing Your Booking

The high-fidelity design now shows any applicable discounts at the stage where users enter their details, just before completing their booking. This ensures that customers are fully aware of the savings they are receiving, providing a sense of satisfaction and reinforcing the benefits of booking through the platform.

Booking Savings Display on the Complete Booking Stage

Upon completing a booking, users now see a detailed breakdown of their total savings in the high-fidelity iteration. This final confirmation of the value they’ve received enhances customer satisfaction and loyalty, leaving them with a positive impression of their overall booking experience.

Takeaways

Experiment results

Over the 8-week experiment, there was a marginal increase in the number of visitors who became accommodation re-bookers, indicating some success in improving rebooking metrics.

New customer requests

Customers started asking for specific types of taxis, which was a new challenge for us. We realized we needed to improve how we offer different types of taxi services.

Designing and adapting

We kept improving our designs based on feedback. This included making booking processes easier and improving overall customer experience.