The Collaboration

Prescinto’s energy monitoring system improves the efficiency of renewable energy plants by leveraging the use of AI. In redesigning both their website, and dashboard, we simplified its operations and maintenance, making it a user-friendly experience across various devices, for various user-personas. Currently, the platform monitors over 12,000 MW of clean energy projects and provides a 10x return on investment by enhancing generation and reducing O&M costs.

Industry

Energy

Platform

Services

Research | UX Design | Visual Design

Award

Link

Website/App

Link

Problem Definition

How can we enhance the app's synchronization with the watch, streamline navigation, and make key features more intuitive and accessible?

The process we followed

Discovery Workshop & Research
Website Wireframes
Dashboard Wireframes
Secondary/Fringe-Case Wireframes
Visual Direction
Final UI Screens
Prototyping
Design System Creation
Handover

Opportunities discovered

Clear & Concise Data Visualization

The dashboard was built to transform complex, real-time data from solar and wind plants, into clear, actionable insights, easing the process of monitoring, and decision making.

Onboarding to AI-Features

Through the design, we had to convey functionality and upside the AI-powered features of the platform to users, ensuring a simple onboarding to win-over potentially resistant users.

Scalability for Multi-Asset Management

The entire system-design had to be modular and scalable to account for a potentially variable number of assets. Furthermore assets could be scattered basis location, requiring centralised control.

Predictive Maintenance Integration

Prescinto’s predictive maintenance features provided early warnings for potential equipment failures. The treatment had to be delicate to convey preventative measures, and not alarm users.

the solutions we provide

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Prescinto’s visuals centred around reflecting the cleanliness and futurism associated with renewable energy, through a visual medium, without compromising on the readability of data and content.