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Building a user-centric information architecture for Port Laredo’s website

Port Laredo, a major international trade hub, partnered with Exemplifi to develop a website. The first milestone was creating a robust Information Architecture (IA), which streamlined navigation, optimized content, and ensured a user-centered design, laying the foundation for the entire site.

  • INDUSTRY

    Transit
  • STATE

    Texas
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Project overview
  • Our goal was to build a platform that served the diverse needs of various user groups.

  • These user groups included transportation professionals, importers/exporters, investors, community members, and government agencies.

  • To cater to these diverse needs and ensure a user-friendly experience, a robust and well-planned information architecture (IA) was crucial.

Challenges
  • No existing website, requiring the creation of a digital presence from scratch.

  • Catering to the diverse needs of transportation professionals, importers/exporters, investors, community members, and government agencies.

  • Organizing vast amounts of trade data, regulations, and procedures into an intuitive structure.

  • Developing the Information Architecture efficiently to meet strict project deadlines while maintaining functionality and usability.

Key improvement
  • Streamlined structure reducing page count from 35 to 15 for a more efficient user experience

  • Improved navigation allowing users to find information quickly and easily

  • Enhanced transparency with better access to data and reports

  • Targeted content providing information tailored to key user groups

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How We Devised the Information Architecture

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Research and discovery

We conducted in-depth stakeholder interviews and user persona development to understand business goals, user needs, and behaviors. We combined quantitative data and qualitative insights to shape the IA design approach, aligning with both user needs and business objectives.

IA strategy and planning

Focused on content modeling to establish relationships between content types and ensure consistent terminology. Low-fidelity wireframes and sitemaps were developed, tested, and refined to create a functional and intuitive IA structure.

structure and design

Streamlined the navigation by organizing content into logical categories based on user needs. Developed a content strategy that included gap analysis, and ensured the IA was scalable for future growth and system expansions. Recommended a flexible CMS to support future updates.

Project impact

Page consolidation

Reduced landing pages by 60%, From 32-15

Improved navigation

Simplified access to key information

Enhanced transparency

Better accessibility to trade data and financial reports

Targeted content

Information tailored to key user groups

Tech stack that helped us build this IA

We leveraged a strong tech stack and key partnerships to build a seamless, scalable solution that efficiently addresses the project’s needs and delivers optimal performance.

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IA Evolution: clarity through iteration

Version 1's complex and unclear navigation, with numerous less intuitive groupings, likely caused user confusion. Its structure also risked siloing related content, hindering discoverability.

IA challenges in first version

Version 3 delivers streamlined, user-centric navigation based on research, leading to quicker information access. The latest content distribution ensures improved discoverability, consistency, and future scalability.

Benefits of latest version