Travor New

Client

Self Exploration

Team

Solo Designer

Deliverables

- Wireframes
- UI Design

Starting Point

How might AI help travelers plan and redefine their travel experience?

Problem Statement

Travelers often struggle with managing and sorting through numerous itineraries, leading to disorganized information. Most travel apps lack flexibility and impose rigid guidelines on users, without providing enough personalization. As a result, users crave for tailored recommendations based on their unique interests, travel preferences, and past experiences.

Project Overview

Travor.AI is an IOS app that helps travelers manage their itineraries efficiently while integrating seamlessly with their traveling habits. With the power of an AI Chatbot, users can quickly ask for information, personalized recommendations, Route planning, and full trip plans with unique customized itineraries.

Introduction

Imagine a future where booking a trip is as simple as having a conversation with a knowledgeable friend who understands your preferences and can recommend the perfect options for you. With AI technology, we are moving towards a world where travel discovery will be effortless and intuitive, allowing customers to fully enjoy the planning process and make the most out of their journeys. By leveraging the power of AI, we can create a more personalized and meaningful travel experience, where every detail is tailored to meet the unique needs and desires of the individual traveler.

Understanding The User

The research aimed to understand travelers' needs and preferences during itinerary planning. It investigated how users organize their travel plans, what challenges they face before and while traveling, and how AI technology integrates with their lives.

Research methods

Competitor Analysis

Interviews

Surveys

Qualitative & Quantitive highlights

The research aimed to understand travelers' needs and preferences during itinerary planning. It investigated how users organize their travel plans, face challenges, and how the AI technology integrates with their lives.

Using Spreadsheet to organize their travel information

Users frustrated with disorganized travel information.

of users prefer organized itineraries in a calendar-like interface.

of respondents cited the importance of a flexible itinerary

of users indicated a strong desire for personalized recommendations

Users value timely travel notifications for updates and changes.

Most used apps to plan a trip ( Uses one app or more )

Most used AI Tools (Not essentially for traveling)

Main User pain-points

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Lack Of Personalization

Users strongly desired personalized recommendations based on their interests, travel preferences, and past experiences. They highlighted the need for tailored suggestions to ensure a meaningful trip.

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Inflexibility and Rigidity

Users are often frustrated by travel apps that lack adaptability to real-time changes and spontaneous decisions. The rigid nature of existing itineraries limits travelers' flexibility, hindering their ability to embrace unexpected opportunities or navigate disruptions seamlessly.

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Disorganized Information

Users find it challenging to centralize and organize all relevant travel information, including bookings, preferences, and itineraries, leading to a fragmented and stressful experience.

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Information Overload

Users often experience information overload when planning a trip, with an abundance of recommendations, reviews, and details available. Navigating through this excess of information can be overwhelming, leading to decision fatigue and a less enjoyable travel planning process.

Personas

I gathered diverse insights from interviews to create detailed user personas that would guide design decisions. My aim was to examine both the common and rare user pain-points that the personas could cover. Here are some of the individuals who provided valuable perspectives:

Ideation

I initiated the ideation process to address the pain points and frustrations identified in the personas. I sorted them into groups to identify a common pattern. My goal was to devise creative solutions that directly respond to the challenges faced by future users.

I used a method called “How might we?” to generate ideas. This approach helped me view the design challenges as opportunities for innovation, encouraging me to think creatively and explore various solutions to meet user needs and pain points.

Potential Solution

Imagine an app that helps travelers manage their itineraries efficiently while integrating seamlessly with their traveling habits. With the power of an AI Chatbot, users can quickly ask for information, personalized recommendations, route planning, and complete trip plans with uniquely customized itineraries.

Possible Technical Constrains

By anticipating potential challenges and limitations, I can proactively address them during the design and development phases, ultimately delivering a more robust and reliable application to our users.

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Integration Challenges

If the app relies on external APIs or services, ensuring seamless integration could be a challenge, particularly if those services frequently update or undergo changes.

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Real-Time Recommendations

Providing real-time recommendations might pose a challenge, especially if the underlying algorithms are computationally intensive. Ensuring that the app remains responsive and quick in offering suggestions is vital.

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AI Model Training

If the app incorporates machine learning models for personalized recommendations, keeping these models updated and accurate requires a system for periodic retraining.

User Flows

I decided to focus on 2 Main user flows for this project in order to tackle their main goals and pain points.

Spontaneous Jeff

After a day of exploring the city of Barcelona, Jeff finds himself with a couple of hours to spare at his hotel, seeking engaging activities to fill the time until dinner.

Organized Karen

Karen receives a notification from Trevor about a change in her itinerary during her business trip. She quickly adapts, optimizes her itinerary, and ensures a positive experience without the hassle of spreadsheets.

Paper Sketches

I used Pen and paper to brainstorm and validate the design, which allowed me to focus on the issues without worrying about visual design.

User Testing

Once I finished sketching my ideas on paper and equipped with my computer, I carried out 'Guerrilla Testing' with High-fidelity prototypes to gather insights into how users interact and perceive the design.

This step helped identify problems in the design, uncover opportunities for improvement, and learn about the target user's behavior and preferences before proceeding to UI design.

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The Task

"Travor.AI has sent a notification regarding an event in your schedule. How can you resolve this issue?"

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Participants

6 Participants with varying levels of familiarity with travel planning apps

One of the Initial Changes made to the wireframes

Final Design

Future Roadmap

The initial focus was on developing the core functionality of the app, which includes organizing itineraries and events in a calendar view and providing personalized recommendations to users.

In the future, I plan to integrate Machine Learning capabilities for a better understanding of user preferences. Continuous testing is essential to refine and enhance the user experience.

Conclusions

Gen AI is revolutionizing travel by enhancing customer experiences and efficiency. AI optimizes schedules, resources, and services to match preferences, unlocking value, and streamlining operations.
AI has the potential to shape the future of travel by catering to preferences and improving experiences.

UX UI Case study

Travor

Your New AI Travel Planner!