Internal Hubs

After building the Commercial Analytics Hub, it became clear that the same problem existed elsewhere. Different analytics teams across the organization were struggling with the same issues: scattered dashboards, unclear ownership, broken links, and too much time spent just finding insights.

That single project turned into a repeatable model. I went on to build four internal analytics hubs, each tailored to a different team but based on the same core structure:

Each served a different group, but all solved the same fundamental problem: getting people to insights quickly.

The shared problem

Across teams, the story was always the same. Dashboards lived in too many places. Access depended on tribal knowledge. New team members didn’t know where to start. Even experienced users wasted time hunting for the right report.

Every hub had different content, but the underlying pain was identical: too much effort just to get to the data.

The approach

Instead of redesigning from scratch each time, I reused the same proven foundation. All hubs used the same design system, the same information architecture, and the same interaction patterns.

The work became less about inventing structure and more about applying a model that already worked—filling in the right content, adapting language to each team, and adding small features based on stakeholder needs.

Each hub was designed as a single entry point for that team’s insights: one place to start, one place to trust.

Building at scale

Because the structure and components already existed, new hubs could be built quickly and consistently. Stakeholder feedback shaped small custom features, but the core experience stayed stable. This made the platforms easier to maintain, easier to update, and easier for users to move between if they worked across teams.

The impact

Across the Commercial Analytics Hub, Supply Chain Hub, IFP Insights & Analytics Hub, and Holistic Measurement Product, the outcome was the same: time saved. Users spent less time searching and more time actually working with data.

More importantly, these projects proved that good UX scales. A solution that works once can work many times—if it’s built as a system, not a one-off.