As with most cases, different ages showed to have different skill level in the tech areas. The Manager and the Training Coach both agreed that being able to quickly and easily set up a training scenario was the most important. The Training Coach said that access to progress that was informative and straight-forward was second on his list. The First Base player was really excited about quickly getting into his training and comparing himself to the other players.

The overall design of the web console was created to dynamically adjust to different devices. The design was created to be consistent visually and usability wise so that users would always understand what they were doing. We created the application using a mixture of HTML, CSS, and JavaScript. Data Science was used to provide accurate progress feedback as well as accurate training scenarios. Information for each section was created in separate data windows that allowed for easy scaling and adjusting with device types.

To test the program I created a basic web console through Figma, but also an interactive one through Visual Studio Code. The different phases of this prototyping allowed for an iterative study of how the console would work and allowed the testers to give accurate feedback.

We were looking for the ability to find the right tool easily and with comfort. We watched for the level of understanding what they were supposed to do and if they could accomplish their tasks effectively. We measured stress levels as well as the different patterns users would use to get where they needed to go.

The final design was created as a modern, sleek application with a sporty feel. I incorporated everything that I learned from the research, testing, prototypes, and feedback. We were able to create a consistent and effective pattern library, as well as a standardized style guide. We established a better organized data hierarchy that directed the users to find the most valuable needs first. The visual design and flow was loosely based on the Google Material design and branding from the companies other products. The quantitative and qualitative results helped us to understand the patterns and needs, to which we were able to create a more successful user journey.

The big factors in this project were patience and empathy. Age, experience, and needs create a huge complex challenge that makes it hard to please everyone. I learned to deal with the challenge by focusing on the roots of the main needs. This allowed me to find the best balance I could for the design.

By creating the training setup with linear direction this helped users quickly create their training scenarios and easily find the information they needed. This was especially helpful for the major age group being in the older section.

Specific organization and better data hierarchy helped to speed up the training creation process and helped to create successful user journeys.