The automation of monitoring protocols significantly increased data reliability and reduced the labor costs associated with manual audits. By providing a constant, real-time overview of all systems, we drastically lowered the risk of undetected security failures for the client.
Totem
Providing seamless, secure integrations through clear documentation design.
Figma, Illustrator, Miro
Lead Product Designer
I architected a high-density monitoring dashboard to automate building security risk management, replacing error-prone manual audits with real-time Niagara API data visualization. This transition eliminated critical data gaps and provided stakeholders with a reliable, scalable overview of their managed global portfolios.
The legacy risk-monitoring process relied on manual audits and subjective surveys, which were prone to significant human error, data delays, and a complete lack of real-time visibility. This fragmentation made it impossible for building managers to maintain an accurate, up-to-date security posture across diverse software environments.
I engineered a centralized dashboard ecosystem that visualizes automated data streams from control chips via the Niagara monitoring API. This solution transformed the monitoring process from a reactive, manual task into a proactive, automated command center for server and system management.
I led a deep-dive research phase into Niagara integration capabilities and conducted a competitive analysis of IoT monitoring standards. I utilized iterative prototyping to validate how automated status icons and data hierarchies could best serve users without causing information overload.
I implemented a Layered Information Architecture, where a high-level status overview provides immediate situational awareness, while drill-down interactions allow users to access granular system-level data on demand. I also developed a specialized iconography system to categorize control systems and statuses, ensuring rapid cross-language recognition.
I facilitated technical collaboration between our developers and the client's engineering team to determine the feasibility of various API data points. I balanced the design vision with technical constraints, ensuring the final mockups were optimized for both implementation and system performance.
I built a modular dashboard framework designed to ingest data from any integrated control system, ensuring the UI remains system-agnostic. This approach ensures that as Totem’s clients add new types of hardware, the interface can scale horizontally without requiring a complete redesign.
This project highlighted the critical importance of Technical Literacy for Lead Designers; understanding the underlying API structure was essential to creating a dashboard that was both beautiful and functional. I learned that for automated systems, the UX must focus on Exceptions and Alerts, helping the user find the one system that is failing among hundreds that are working.
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