The challenge was to design a trading interface that could integrate seamlessly into existing workflows while supporting fast, high-stakes decision-making. Users needed to interpret large volumes of volatility data, compare multiple variables, and generate strategies without slowing down their process.

As the sole UX/UI designer, I collaborated with business analysts and engineers to understand how traders were working across fragmented tools. We analyzed existing platforms and workflows to identify what was effective, where friction existed, and how those experiences could be unified into a single, streamlined solution.

The app should be designed to accomplish the following goals:

We began with a discovery phase, meeting with stakeholders and end users to understand existing workflows and pain points. This process revealed how users interacted with complex market data and where inefficiencies existed.

These insights guided the design approach, helping shape a solution that aligns with user behavior and supports faster, more effective decision-making.

Using insights gathered during discovery, we mapped key user workflows and identified critical decision points, which informed the initial wireframing process. These early concepts focused on addressing friction in existing tools while introducing a more structured approach to analyzing data and executing actions.

I developed a series of wireframes that were presented to stakeholders for feedback and validation. Through iterative refinement, these evolved into higher-fidelity prototypes that more accurately reflected real-world usage. Interactive prototypes were shared to demonstrate system behavior, enabling stakeholders to better understand how users would navigate the interface, interpret information, and complete key tasks.