Brighton Science

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 | Dot Voting |Rapid Prototyping & Researching | Kano Analysis | Journey Map | Stakeholder Interview

methods

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.


 



problem

Brighton’s BConnect dock has inefficiencies in the dashboard have hinders usability, impacting workflow and productivity

From initial interaction to goal completion, this journey map highlights key touch points, pain points, and opportunities for enhancement, ensuring a seamless and intuitive experience.

human-centered understanding

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.

Key Findings

  1. Lack of Usability and Navigation Issues

    The existing application, used by technicians and engineers to measure surface cleanliness and adhesion quality, delivered essential data but lacked intuitive usability features. Users struggled with navigating complex data sets, which led to inefficiencies and hindered productivity.

  2. Challenges in Real-Time Data Interpretation

    The application was ineffective for real-time data interpretation, a critical need in the fast-paced, decision-making environment where product quality could be affected.

  3. Cognitive Load and Dashboard Design Issues

    • The BConnect dashboard posed significant cognitive challenges due to poor layout and high information density. Users found it difficult to quickly access and interpret critical metrics and visualizations, which impacted their ability to make timely, accurate decisions.

    • Desire for Nature-inspired Design: Users craved designs that evoke the calming influence of natural elements, both visually and aurally.

  4. Potential for Costly Errors

    1. Delays or misinterpretations of data resulted in the risk of errors in quality assessments, leading to potentially costly production issues or material quality failures.

  5. Opportunity for Interface Improvements

    A redesigned, user-friendly interface that reduces cognitive load could enhance task efficiency, improve real-time decision-making, and reduce the potential for costly errors by providing clearer access to essential data.

Kano Analysis

Identifying Key Features: Based on initial stakeholder interviews and user research, Brighton identified several key features to evaluate through the Kano model. These features include dashboard navigation, data visualization tools, real-time data interpretation, and performance metrics for surface cleanliness and adhesion quality.

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.

Techniques

  • Competitive Analysis

  • Dot Voting

  • Rapid Prototyping & Researching

  • Journey Map

  • Kano Analysis

  • Stakeholder Interview

methods

Tools

  • Figma

  • Zoom

design process

  • M (Must-Have): Expected and essential features.

  • P (Performance): Features with a linear impact on satisfaction—more is better.

  • Q (Excitement): Delightful, unexpected features that boost satisfaction if present.

  • R (Reverse): Features that detract from the experience and reduce satisfaction.

  • I (Indifferent): Features that don’t matter to users.

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.

summary

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.

key takeaways

While creating the GR&R Deck, I went over budget because I prioritized the quality and depth of content, and ended up overlooking the budgeted constraints. While ensuring high-quality content is essential, balancing this with budget adherence is equally important to manage project resources effectively. This approach will help maintain focus on content quality budgeting discipline, and adherence to project goals.