Supporting complex analytical workflows

Analytical workflows in JMP are often highly iterative and interconnected. Users regularly move between data tables, scripts, journals, visualizations, and reports while building and refining analyses over time.

As projects became more complex, many users struggled to keep track of dependencies, preserve analysis context, and revisit previous work without manually reconstructing their process. The challenge wasn’t simply organizing files — it was creating a system that could better support the way analysts naturally explored, connected, and revisited complex work over time.

Designing for organization and context

The redesign focused on creating a centralized workspace where users could organize related assets, preserve analysis state, and move more fluidly between different stages of their work. Features like project containers, navigation structures, and state preservation helped reduce friction while supporting more scalable analytical workflows.

As the project evolved, the work also expanded into integration with JMP Live, creating a more seamless transition between analysis and publishing. This helped connect individual exploration with broader collaboration and sharing workflows while maintaining the context and interactivity users relied on throughout the analytical process.

Creating more connected analytical experiences

As the project evolved, the work expanded into broader integration with JMP Live, helping create a more seamless transition between analysis, publishing, and collaboration.

The experience focused on improving continuity between individual exploration and shared analytical workflows while maintaining the context and interactivity users relied on throughout the process. Shared interaction patterns and more connected workflows helped support scalability across products while creating a more cohesive analytical ecosystem overall.

The result was a more organized, intuitive, and scalable experience that better supported how technical and data-driven users naturally approached complex analytical work.