Brighton Science is a leader in specialized surface science measurement solutions. Brighton Science’s products and services allow companies to assess surface quality, adhesion, and contamination to optimize performance, reduce waste, and improve quality control in industrial processes, focusing on industries like automotive, electronics, medical devices, and aerospace. 




Competitive Analysis | Rapid Prototyping & Researching | Kano Analysis | Journey Map | Stakeholder Interview

methods

context

Brighton Science is a leader in specialized surface science measurement solutions. Brighton Science’s products and services allow companies to assess surface quality, adhesion, and contamination to optimize performance, reduce waste, and improve quality control in industrial processes, focusing on industries like automotive, electronics, medical devices, and aerospace.

They sought a well-designed UX approach to extend the functionality of an existing application. The goal was to improve the application’s user experience within a limited technical framework while ensuring the design aligned with Brighton’s established guidelines. This project presented a unique challenge of working within strict boundaries while finding innovative ways to add value for Brighton’s end users.


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Brighton aimed to improve its application, which technicians and engineers use to measure surface cleanliness and adhesion quality. Although the application delivered essential data, it lacked usability features that enabled fast and precise data collection. Users struggled to navigate complex data sets and interpret results in real-time, which hindered productivity and risked material quality outcomes.


human-centered understanding

defining the problem

The primary issues with the BConnect dashboard were rooted in its lack of intuitive navigation. Users needed to access GR&R data quickly and easily to make timely decisions that affect product quality. 

Delays in accessing critical information or misinterpretations due to unclear data presentation could lead to errors in quality assessments. This could result in costly production issues or failures.

A well-designed interface can significantly reduce cognitive load, enabling users to complete tasks more efficiently. To gain deeper insights into user frustrations, we conducted interviews and surveys with BConnect users. 

These sessions revealed that many users felt overwhelmed by the dashboard’s layout and information density. They struggled with finding key metrics and visualizations critical for their analysis.



Quality control engineers and manufacturing operators are the primary users of the BConnect dashboard. They depend on quick, accurate access to gauge repeatability and reproducibility (GR&R) data to make informed decisions about product quality. Any errors caused by unclear data presentation can disrupt production and lead to costly issues.




interation and evalution

Kano Analysis was instrumental in prioritizing features and design improvements based on user preferences for this project. We clarified which functionalities were essential for user satisfaction and which could be deprioritized or developed in later iterations based on a budget scale of 1-8. This approach helped balance user needs with design constraints, focusing on improving data accessibility and visualization quality to enhance usability and reduce cognitive load.




final design

The final redesign of the BConnect dashboard introduced a streamlined interface centered around user needs. I prioritized simplifying the navigation structure to enable users to quickly access GR&R data. Additionally, I enhanced the visualizations for data trends, which improved clarity and decision-making. Overall, this redesign created a more cohesive data dashboard, allowing users to interpret data efficiently.