Our process begins with a deep discovery phase. We conduct interviews with your key stakeholders and end-users (like data scientists and analysts) to understand their specific workflows, data types, and the critical business questions they need to answer.

Our process uses a "performance-first" design methodology. We focus on designing interaction patterns, data-loading strategies, and visualizations that are optimized for speed and responsiveness, ensuring the interface is usable even when handling petabytes of data

We use a role-based design approach. Our process involves creating distinct interfaces or dashboards for different user personas. An executive gets a high-level overview, while an analyst gets powerful tools for deep-dive exploration, ensuring the tool is appropriate for everyone.

We create high-fidelity, interactive prototypes and test them with real users from your team. Our process focuses on observing them as they attempt to complete critical tasks, allowing us to identify points of confusion or friction in the workflow before development.

We function as embedded partners. Our designers join your agile sprints, work directly with your technical team to understand data structures and API limitations, and provide clear, developer-ready specifications to ensure a seamless implementation.

Generalist designers often fail to grasp the unique technical constraints and user workflows of big data. Our specialized process is built around these challenges, ensuring we deliver a solution that is not only user-friendly but also technically feasible and performant at scale.