Estatísticas dos Açores mais acessível

As the official statistical portal of the Azores Region, SREA provides trusted economic, social, and demographic data that supports informed decision-making and contributes to regional economic development. Policymakers, businesses, researchers, and citizens rely on the portal to understand trends, monitor performance, and support planning and investment.

Main activities

UX Research · UX/UI Design · Prototyping · Usability Testing · AI-Assisted Development · WordPress CMS · Digital Accessibility · Training & Support

86,5

Pontuação na escala SUS (System Usability Scale) de 0 a 100

88%

das tarefas de teste concluídas com sucesso pelos utilizadores

15 de 23

recomendações dos testes aplicadas ao produto final

Impact delivered

6

User tests

23

Improvement

recommendations

23

Issues identified

The challenge

Despite strong content, the previous portal was technically and visually outdated, with usability, accessibility, and information organization limitations that made navigation and data discovery slower and less efficient. 

Our approach

The objective was to modernize the platform, simplify access to information, and deliver a clearer, faster, and more accessible user experience.

What we delivered

Improved navigation clarity and user experience

The redesign of Serviço Regional de Estatística dos Açores introduced a more intuitive navigation model, simplifying access to complex statistical content. Clear entry points such as “Explore by area” and “Explore by island” help users quickly understand where to start, reducing cognitive load and improving overall usability.

Faster and more efficient information discovery​

By restructuring search and access pathways, users can now locate data more quickly and with fewer steps. The platform supports direct exploration of datasets through multiple lenses (theme, geography, indicators), enabling faster access to relevant statistical information and supporting better decision-making.

Reduced redundancy and improved content structure

The new information architecture eliminated duplicated and fragmented content, organizing information into clearer thematic categories. This resulted in a more coherent and scalable structure, where users can navigate large volumes of data without confusion or overlap.

Modern, accessible interface aligned with UX/UI best practices

The updated interface reflects modern UX/UI standards, with improved visual hierarchy, consistent components, and accessible design patterns. The platform aligns with the mission of making statistical information widely available and easy to use, ensuring that users—from citizens to researchers—can access reliable data efficiently.