Siemens
Energy, Smart Infrastructure, AI & Automation
2020 - 2021
Product Strategy, UX Research, Dashboard Design, Usability Testing, MVP Development, Automation
Siemens needed to transform its complex, consultant-focused energy efficiency platform into a scalable, AI-powered self-service solution. With 300+ dashboards overwhelming external clients, the goal was to simplify, automate insights, and enhance usability for broader adoption.
Challenge
Siemens sought to transform its internally used energy efficiency platform into a scalable, AI-powered self-service solution. With over 300 dashboards built for engineers, the existing system was too complex for external clients, limiting adoption and usability. Our goal was to simplify and restructure the platform, making energy data more actionable and accessible while enhancing automation and scalability.
The original platform was designed for Siemens’ internal consulting teams, making it difficult for external clients to navigate. With evolving customer demands, Siemens needed a self-service solution that could reduce reliance on manual consulting, automate key insights, and expand the platform’s market reach. The challenge was to consolidate 300+ dashboards into an intuitive, user-friendly experience while preserving critical data and analytics capabilities.
Results
The AI-powered platform launched as a fully functional MVP in just a few months, accelerating Siemens’ go-to-market speed by 150%. The redesign transformed a cumbersome internal tool into a scalable, user-friendly solution, increasing adoption and positioning Siemens as a leader in AI-driven energy management. The success of the project led to industry recognition, PR opportunities, and strengthened client relationships through co-branded innovation showcases.
Approach
We restructured the platform to balance powerful analytics with intuitive design, ensuring accessibility for external clients. By prioritizing key dashboard features, we streamlined navigation, reducing cognitive load while preserving critical insights. AI-driven automation replaced manual data analysis, delivering actionable recommendations in real-time. User research and iterative testing refined the interface, aligning it with business needs while maintaining Siemens’ high standards for precision and reliability. The result was a seamless self-service experience that empowered clients to manage energy efficiency independently while scaling Siemens’ impact in the market.
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