Designed to make travel planning easy.
Designed to make
travel planning easy.
Duration:
3 months
Duration:
3 months
Role (solo project):
Branding, UX-Design & Research
Role (solo project):
Branding, UX-Design & Research
Role (solo project):
Branding, UX-Design & Research
Methodologies:
Research, User Interviews, User Tests, Iteration, Prototyping
Methodologies:
Research, User Interviews, User Tests, Iteration, Prototyping
Methodologies:
Research, User Interviews, User Tests, Iteration, Prototyping
Link to prototype
Summary
In-Depth
The Problem
Many users feel reluctant to plan trips because it requires a significant investment of time and mental energy. Some of the biggest pain points is having to:
Sift through countless websites, blogs, and booking platforms
Compare options that are often inconsistent or overwhelming
Spend hours researching just to feel confident in a single decision
This process can be exhausting and discouraging, making it harder for users to follow through with travel plans.
User Needs
Busy travelers need a simpler way to plan meaningful trips because the current process of navigating through multiple sites, comparing options, and gathering information is time-consuming and mentally exhausting.
Key User Needs:
1) A centralized platform to plan trips without jumping between multiple websites
2) Curated, trustworthy travel suggestions to reduce decision fatigue
3) A streamlined way to compare options quickly and confidently
4) Tools that support spontaneous or short-notice travel planning
5) Content that feels personalized and relevant to their interests and lifestyle
6) A way to make trip planning feel enjoyable, not like a chore
The Solution
Voy is an AI-assisted travel planning app that provides a seamless, personable and personalised trip planning experience. Voy utilizes the following JTBD which have been synthesized into product and feature goals for its users.
Jobs-to-be-Done (JTBD):
1. Simplify and Centralize Travel Planning
Eliminate the need for scattered internet research by consolidating trusted information in one place
Streamline trip planning with clear, easy-to-navigate interfaces
2. Save Time and Reduce Cognitive Load
Quickly surface key logistics (like dates, costs, and transportation) in a digestible format
Preview trip ideas and destinations visually to support fast decision-making
3. Make the Experience Intuitive and Enjoyable
Ensure a sleek, user-friendly design that feels lightweight, not overwhelming
Support easy trip editing and customization alongside AI-generated suggestions
4. Personalize for Relevance and Meaning
Use machine learning to tailor suggestions based on user preferences and behavior
Apply natural language processing to make interactions feel more human, conversational, and relatable
Feature #1: AI-Assistant
(JTBD Fulfilled: 1,2,3,4)
Voy utilizes the AI in its chat function to provide a more fuss-free, personalised, and personable experience. It incorporates the following machine learning methods:
Association rules
Classification
Clustering
NLP
Feature #2: Built in User Control
(JTBD Fulfilled: 1,3,4)
Voy is built with the following capabilities to allow for greater user control with a simplified user experience in order to rely on or trust a bot's assistance in researching human experiences:
Manual tweaking of AI-generated content
Filtering options when researching
Feature #3: Centralized Travel Planning
(JTBD Fulfilled: 1,2,3)
Voy eliminates the use of multiple travel planning apps and tools and consolidates them in one. The following features allow users to seamlessly plan and coordinate their travel:
Collection of saved itineraries
Itineraries with all relevant details consolidated together in a simplified UI
Ability to check chat history for previous travel suggestions
Final Product
The final product of Voy aims to create a seamless, personalized, and stress-free trip-planning experience. Voy reduces the hassle of scouring through various resources and reviews while ensuring that it caters to the user's interest.
What Did I Learn?
Learned Insights
Designing for Trust & Reliability:
Balancing AI autonomy and user control is key to building trust, ensuring a personalized yet intuitive experience.
Focusing on Product Value:
Identifying and highlighting competitive advantages while addressing market gaps is key.
Summary
In-Depth
The Problem
Many users feel reluctant to plan trips because it requires a significant investment of time and mental energy. Some of the biggest pain points is having to:
Sift through countless websites, blogs, and booking platforms
Compare options that are often inconsistent or overwhelming
Spend hours researching just to feel confident in a single decision
This process can be exhausting and discouraging, making it harder for users to follow through with travel plans.
User Needs
Busy travelers need a simpler way to plan meaningful trips because the current process of navigating through multiple sites, comparing options, and gathering information is time-consuming and mentally exhausting.
Key User Needs:
1) A centralized platform to plan trips without jumping between multiple websites
2) Curated, trustworthy travel suggestions to reduce decision fatigue
3) A streamlined way to compare options quickly and confidently
4) Tools that support spontaneous or short-notice travel planning
5) Content that feels personalized and relevant to their interests and lifestyle
6) A way to make trip planning feel enjoyable, not like a chore
The Solution
Voy is an AI-assisted travel planning app that provides a seamless, personable and personalised trip planning experience. Voy utilizes the following JTBD which have been synthesized into product and feature goals for its users.
Jobs-to-be-Done (JTBD):
1. Simplify and Centralize Travel Planning
Eliminate the need for scattered internet research by consolidating trusted information in one place
Streamline trip planning with clear, easy-to-navigate interfaces
2. Save Time and Reduce Cognitive Load
Quickly surface key logistics (like dates, costs, and transportation) in a digestible format
Preview trip ideas and destinations visually to support fast decision-making
3. Make the Experience Intuitive and Enjoyable
Ensure a sleek, user-friendly design that feels lightweight, not overwhelming
Support easy trip editing and customization alongside AI-generated suggestions
4. Personalize for Relevance and Meaning
Use machine learning to tailor suggestions based on user preferences and behavior
Apply natural language processing to make interactions feel more human, conversational, and relatable
Feature #1: AI-Assistant
(JTBD Fulfilled: 1,2,3,4)
Voy utilizes the AI in its chat function to provide a more fuss-free, personalised, and personable experience. It incorporates the following machine learning methods:
Association rules
Classification
Clustering
NLP
Feature #2: Built in User Control
(JTBD Fulfilled: 1,3,4)
Voy is built with the following capabilities to allow for greater user control with a simplified user experience in order to rely on or trust a bot's assistance in researching human experiences:
Manual tweaking of AI-generated content
Filtering options when researching
Feature #3: Centralized Travel Planning
(JTBD Fulfilled: 1,2,3)
Voy eliminates the use of multiple travel planning apps and tools and consolidates them in one. The following features allow users to seamlessly plan and coordinate their travel:
Collection of saved itineraries
Itineraries with all relevant details consolidated together in a simplified UI
Ability to check chat history for previous travel suggestions
Final Product
The final product of Voy aims to create a seamless, personalized, and stress-free trip-planning experience. Voy reduces the hassle of scouring through various resources and reviews while ensuring that it caters to the user's interest.
What Did I Learn?
Learned Insights
Designing for Trust & Reliability:
Balancing AI autonomy and user control is key to building trust, ensuring a personalized yet intuitive experience.
Focusing on Product Value:
Identifying and highlighting competitive advantages while addressing market gaps is key.
Voy App
Olive Yuen