We were responsible for converting the client's business requirements and scaling the idea into a well-designed tool which covers data-scientists needs.
This solution processes large data sets from sensors (.csv format) into various data visualizations and analysis models. Thanks to accurate output, a data scientist can optimize the fermentation process in their industries
The client buys the service and deploys the Fermsense 3D sensor in the tank. 45 mm
The sensor floats in the tank for a certain amount of time, collecting data like pH, temperature, pressure position, flow.
The client's data scientists can work on data visualization and analysis collected from highly accurate sensors with data from the entirety of the fermentation vessel unlike the localized data they use today. This enables the scientists to gain a much more in depth understanding of their process and optimize accordingly.
The project was conducted using an Agile Methodology. Every Monday, we were planning work for the upcoming week, ending with a demo session of our outcome.
The client (Chief Operating Officer and Product Owner) visited our office in Gdansk, Poland,
The topics we worked on:
Reevaluating a goal
The client's goal was to design the flow so that the user could see data visualization as quickly as possible. While working on the solution, we realized how many steps a user needs to take before actual data visualization occurs (including file transfer, tank configuration, timestamp). We came to the conclusion that a given goal does not provide a good user experience. Navigation in the application should be more user-friendly and cause less confusion for the user. The lesson we took was to re-evaluate the client's goals, focus on the user experience, and re-design our approach.
Choosing data processing method
A user can select one of five data processing methods. It is the last step before working with the data. However, users can open multiple processes at the same time to compare different plots or data. xt phases of the project.
We did the remote user testing on wireframes with data scientists from Denmark. We had a fantastic opportunity to see how end-users interact with our designs. Talking with data scientists and asking them what is missing or what we could improve was an invaluable experience. Based on those testings, we made a few improvements.
Expanding the scope
During the interacting with users, they suggested the addition of new features, new functionalities and new data processing methods. We need to be careful to fulfil the user's needs but keeping in mind the business side of the project, including time and budget. For the Minimal Viable Product (MVP) we cut the scope of features which the app will offer.
For managing multiple files, we decided for a typical “Folder” navigation to give a clear vision of the structure.