Energys Dashboard Redesign
Analytics dashboard case study
Redesigning the analytics dashboard for energy management: improved data visibility and streamlined decision-making for operations teams.
Company
Energys — An energy management and analytics platform.
Context
👉 Operations teams struggled to quickly interpret complex energy data and identify actionable insights.
👉 The existing dashboard lacked clear hierarchy and made it difficult to track key performance metrics at a glance.
Objectives
👉 Create an intuitive, data-dense yet readable analytics experience
👉 Improve information hierarchy for faster decision-making
👉 Enable customizable views for different user roles and use cases
Results
Post-redesign feedback indicated improved task completion times and higher user satisfaction with data accessibility.
Introduction and Context
Company Background
Energys provides energy management solutions for businesses seeking to monitor, analyze, and optimize their energy consumption.
Project Background
The analytics dashboard was identified as a critical touchpoint for users. A redesign was initiated to improve usability and data presentation.
Initial Challenges
Dense data presentation, unclear visual hierarchy, and limited customization options for different user workflows.
Project Scope
Position and Responsibilities
Lead UX Designer responsible for user research, information architecture, visual design, and prototyping.
Design and Research Tools
Figma (design), Figjam, user interviews, and usability testing.
Design Solutions
Key Design Decisions
Clear visual hierarchy
Prioritized the most critical metrics at the top of the dashboard, with supporting data organized in logical groupings.
Consistent data visualization
Standardized chart types and color usage to reduce cognitive load and improve quick scanning.
Responsive layout
Ensured the dashboard adapts effectively across desktop and tablet viewports for field and office use.
Conclusion
Project Summary
The Energys Dashboard redesign focused on clarity, hierarchy, and usability to help operations teams make faster, data-driven decisions.