
🔎 Overview
The travel project holds a special place in my journey as a designer — it was my very first experience designing with AI and also my first time collaborating closely within a team. The experience left a lasting impression, shaping how I see the potential of AI in design.
Now that I’ve decided to focus my career on AI-driven design, I revisited this project with a new perspective. I asked myself: If I were to redesign it today, how would I approach it differently?
With my current understanding of AI’s role in user experience, I set out to reimagine this travel planning app. My goal was to transform it into something that feels not just like a concept, but a product grounded in reality — practical, intelligent, and aligned with the way people actually plan their journeys.
đź’» Role
UX Designer
👥 Team
Myself
đź•’ Duration
1 week
🔑 Keywords
Re-design, Generative AI, B2C, Travel
đź”´ Problem + Research
AI travel apps: real help or just hype?

Young adults (18-34) show a 11% ⬇️ in comfort with AI travel tools (YouGov Surveys, 2025).

AI produces low-quality, impersonal results, making users spend extra time correcting them, and while it provides “answers,” it doesn’t help users discover what they truly want.
🎯 Goal
Help users clarify their travel preferences first.
Shift from "auto-generating trips" → to guiding users to clarify what they want to reduce choice anxiety and help users quickly focus on the key aspects of their trip.
🗂️ Travel preferences - Adaptive Questioning Flow
Before
My previous design focused on five basics—destination, dates, group, style, and budget—but they were too generic to guide users toward a plan they actually liked.
‍
❌ Too generic – Plans felt cookie-cutter, not tailored to individuals.
❌ Surface-level inputs – Questions like “casual vs sporty” didn’t capture real travel motivations.

After
The AI uses an adaptive questioning flow, meaning the follow-up questions change dynamically based on the user’s initial request/prompt.
For example, if a user says, “I want to go to Chicago with my family,” the system picks up Chicago and family and asks age-related questions like a travel agent. If the user says, “I want a weekend trip to New York with friends,” the AI asks preferences based on New York and adjusts questions by destination.


🎨 New UX Design
Homepage
Before
After

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Itineraries
Before
After
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Map
Before
After


Attractions page
Before
After


New AI voice design


⚠️ AI Limitation
AI helps, but it’s not a complete solution.
While AI has great potential in travel planning, its strengths and weaknesses need to be acknowledged. On the positive side, AI can inspire ideas, connect scattered information, and quickly generate options that users may not have considered. However, it lacks the ability to verify authenticity—such as whether a restaurant is truly family-friendly, whether an event is still happening, or how safe a neighborhood might be at night. Because of this, human judgment and decision-making are still essential in transforming AI’s suggestions into a realistic plan. In other words, AI’s role in travel is not to fully replace human planning, but to act as a supportive partner: helping users think more clearly, save time, and spark creativity.