Approach & Methods  

We met up with the client to get to know their business model, goals and values, which includes a robotic-cook and as little employees as possible.

Next step was to research competitors regarding restaurants focusing on either freshness, quick meals or robotic kitchens in preparation of a design sprint.

We created a prototype with focus on a filter, phrased in a way a person would explain their preferences to a waiter to give the restaurant a human feel to it.

The client also wanted to offer the ability to customize or alter a dish so every customer was able to find something to their taste. Because a quick ordering process was of importance, due to busy lunch times, we decided to offer that feature after filters are applied as a definite match. Also each dish stayed customizable. The customization especially was tested and refined, so the customer is always aware of how to alter ingredients and exactly what and how much is in their dish, from weight to health information. 

After testing and evaluating the results we implemented our new learnings and completed the interface with every needed screen. For the development, we also created a UI library to give a better overview about what to build.