When the scope is broad and the timeline is short, AI can get you to a tangible interface faster than any other method. For this Sonova portal concept, I used Figma Make to generate an initial multi-screen prototype, then spent the real design time refining hierarchy, accessibility, and component logic across a system that had to hold together at scale.
This project started as a 56-hour recruitment exercise for Sonova, a global hearing aid producer. The brief was broad: design a B2B portal concept for hearing care professionals across up to seven functional areas, while considering accessibility and demonstrating how the experience could scale through reusable components.
I had no access to users or internal product data, so I used competitive analysis and publicly available solutions to form working hypotheses based on assumptions and domain knowledge (personal experience working in the hearing aid industry), rather than validated user findings.
The challenge became less about designing up to seven screens and more about creating one coherent experience across interconnected tasks.
Although I was about to accelerate the initial design using AI, I needed a set of assumptions to design against. I treated these as hypotheses to be validated with end users at a future stage of the project:
Once I was done with my research, I framed the problem around cognitive overload, missing step indicators in most workflows connected with purchasing, and product-focused software rather than process-focused solutions. In my opinion, these were the biggest unsolved challenges in most publicly accessible solutions across the hearing care industry.
I shaped the solution and used Figma Make to rapidly explore how the portal could be structured across six functional areas given in the brief: main dashboard, ordering, order history, patient records, warranty/service, and training. The goal was not to let AI make design decisions; it was to compress the translation from brief to something visible, so I could evaluate, critique, and structure it properly.
The AI-generated prototype acted as a starting point. I reviewed every screen critically against product logic, realistic B2B tasks, accessibility requirements, and navigation consistency. I still had to decide: what information matters most, how tasks should be prioritised, where friction occurs, and which patterns should become reusable components.
As you can see, the experiment gave good results when it came to the functionality of the product, but the rendered components were uneven and did not follow the same design patterns.
Below is the initial output compared with the final screens.


After the prototype established the product surface, I shifted focus from screens to structure. I broke the interface down into repeatable patterns: navigation, buttons, form fields, status labels, cards, tables, alerts, tabs, step indicators, and action panels. Each had to work consistently across the portal and scale to new areas without rebuilding from scratch.
Due to the time constraint, I had to limit my scope to 2–3 ready components to be able to present the concept of the component library. One of those components was the button system presented below, where I focused on variants, including edge cases such as when the button is disabled.

The next component I focused on was a stepper indicator. The ordering flow is where the component system does its most visible work. A six-step stepper guides clinicians from patient selection through brand, product, configuration, review, and order, with a persistent summary panel keeping context visible throughout.
As you can see, the button hierarchy is explicit at every step: primary for the forward action, secondary for per-card selection, neutral for reversals, and tertiary for escape hatches (Save Draft).


In order to create one coherent system, I chose established design principles to set the rules for the product and guide heuristic decisions.
The most important next iteration would be to validate the ordering flow end-to-end with actual hearing care professionals, mapping their current process, identifying where the portal creates friction or clarity, and testing the configuration step in particular.
The component system provides a foundation, but real workflow validation would tell us whether it’s the right foundation.