Geovea - AI Assistant & UX UI Design

Strategy

UX priorities for growth

User Research

Travel behavior analysis

• We conducted qualitative and quantitative user research to understand user pain points during trip planning. The goal was to simplify choices, personalize experiences, and improve feature discoverability. The research formed the foundation for Geovea - AI Assistant ui / ux decisions.

• 68% of travelers

  feel overwhelmed by too many travel options, causing decision fatigue. This leads to lower engagement and early drop-off rates.

• 74% of respondents

  prefer personalized suggestions for easier trip planning. Many of them rely on AI assistance for tailored results.

• 50% of users

  abandon planning due to poor navigation and irrelevant content. This directly impacts conversion rate and retention.

Problem & Solution

Problem statement

• Too many options without proper structure lead to decision fatigue. Users are forced to jump between different apps for booking, organizing, and navigating trips. This fragmentation results in churn and low planning completion rates.

• Overwhelming Choices

  Users struggle with an overload of travel options and complex navigation, making trip planning frustrating and inefficient.

Solution

• We focused on simplifying the experience by centralizing trip planning into one system. Geovea UI presents only relevant actions and information at each stage of the journey. The AI system personalizes each user’s flow, helping increase engagement and lower bounce rates.

• AI-Powered Guidance

  AI-driven personalization simplifies decision-making by offering smart recommendations and an intuitive itinerary management system.

Mobile app

Cross-device travel app

• The Geovea app enables users to plan, manage, and adjust trips using a single interface. Core features include itinerary management, booking tools, and real-time updates. We prioritized clear layout and fast navigation to support planning on the go.

Key Features

• AI travel Assistant

  Start your journey with an AI assistant that effortlessly plans trips via voice or text.

• Interactive World map

  Visualize your travel route on a dynamic map, track your destination, and get real-time transit details.

• Destination Insights

  Access key travel details, including distance, highlights, and recommended spots, all in one organized view.

SUS Survey

App Usability feedback

• We used a standard System Usability Scale (SUS) to measure overall satisfaction with the interface. The Geovea - AI Assistant project received an excellent result of 76%, confirming strong usability and clarity. Based on feedback, we identified specific strengths in personalization, flow, and content relevance.

Key Insights

• Group A – 72%

  found the app intuitive and efficient for trip planning. This resulted in a higher task completion rate.

• Group B – 87%

  reported ease of navigation and use of the app on different devices. It contributed to consistent behavior across platforms.

• Group C – 90%

  noted that the app provides relevant and useful travel tips. It helped reduce bounce rate during the planning phase.

Landing page

Geovea launch Website

• The Geovea landing page is built to convert visitors into users through focused content blocks and streamlined CTAs. We included travel scenario examples, social proof, and real-time previews of itinerary building. The structure was optimized for traffic from both organic and paid channels.

Typography and Colors

Visual consistency

• We used the Urbanist font to maintain clarity and support accessibility. This font is clean, easy to scan, and performs well across screen sizes.

  Our primary color is lime, selected to create visual contrast and prompt action. The overall palette was kept minimal to reduce distraction and support user focus.

Branding

Brand rollout

• We built a consistent digital identity for Geovea - AI Assistant example across social media, website, and the app. Our brand assets included animated app previews, branded travel templates, and platform-specific visuals. A limited merch pack featuring branded accessories was also designed for offline promotion. Across all assets, we focused on brand recall and visual clarity.

Finals

Project Result

• The updated design improved usability by simplifying processes and creating a more intuitive interface, leading to faster user adaptation and a reduced learning curve.

Key Insight

• 45% reduction in decision-making fatigue

  We achieved this through personalized suggestions and interface simplification. This directly contributed to lower abandonment rates and improved planning completion.

Next Iteration

Roadmap: What's next

• Our next phase focuses on full cross-platform integration, ensuring seamless experience across web, mobile, and tablet. We also plan to expand the AI Travel Assistant to support multi-user planning and group coordination. This will further improve retention and increase CSR metrics.