EfficienTrack

Reduced resolution time by 5x for energy teams managing complex

Reduced resolution time by 5x for energy teams managing complex factory systems

Reduced resolution time by 5x for energy teams managing complex factory systems

factory system

Data visualization

IOT

B2B

SAAS

Role

Role

UX Designer

Duration

Duration

Jan - Mar 24

Team

Team

UX Designer (me), UX Researcher, PM

UX Designer (me), UXR, PM

Context

Energy Insights is a SaaS platform designed to help manufacturing companies monitor and optimize their energy usage. I joined this project to improve how plant managers and energy operations teams detect inefficiencies, analyze consumption trends, and take corrective action.

BUSINESS OBJECTIVE

“ Evaluate the current energy monitoring platform, identify gaps, strategic inefficiencies and redesign. ”

What was broken

The system shows what’s happening with energy usage but not where or why—making it hard for teams to understand the issue, trust the data, and take the right action.

The system shows what’s happening with energy usage, but not where or why—lacking the depth and context needed to trace anomalies, validate insights, and make informed decisions.

Gap 1 : Limited Device Visibility and Data Granularity in Monthly Peak View

Gap 1 : Limited Device Visibility and Data Granularity in Monthly Peak View

The system only provides a high-level monthly peak summary, limiting the ability to identify trends, anomalies, or optimize performance based on granular insights.

Impact on User

Impact on User

Frustration due to lack of actionable insight

Impact on Business

Impact on Business

Reduces ROI on analytics investment

If unresolved

If unresolved

Critical usage spikes might go unnoticed

Gap 2 : Lack of Customization and Contextual Insights in Production Reports

Gap 2 : Lack of Customization and Contextual Insights in Production Reports

The production report lacks customizable views and fails to capture contextual factors behind machine idle time. Users cannot correlate downtime with variables like temperature, feed rate, or shift patterns, making root cause analysis and performance optimization difficult.

Impact on User

Impact on User

Lower trust in system insights

Impact on Business

Impact on Business

Reduced credibility

If unresolved

If unresolved

May lead to false assumptions

Gap 3 : Ineffective Alert Management and Unintuitive Data Interaction

Gap 3 : Ineffective Alert Management and Unintuitive Data Interaction

The system generates alerts but lacks a built-in mechanism for documenting actions or resolutions, leading to missed follow-ups and accountability gaps. Additionally, the user interface is unintuitive, making it difficult for users to navigate, interpret, or interact with data visualizations efficiently.

Impact on User

Impact on User

Alert fatigue and confusion

Impact on Business

Impact on Business

Slower time-to-action

If unresolved

If unresolved

Increase learning curves and usage errors

What changed and why it matters ?

The system shows what’s happening with energy usage but not where or why—making it hard for teams to understand the issue, trust the data, and take the right action.

The system shows what’s happening with energy usage, but not where or why—lacking the depth and context needed to trace anomalies, validate insights, and make informed decisions.

To summon me

owl posts are cool, but email works faster.

i solemnly swear i’m up to good design.

All rights and wrongs reserved

Made with sprinkle of Love ♥️ and whole lot of Puppy licks 🐶

To summon me

owl posts are cool, but email works faster.

i solemnly swear i’m up to good design.

All rights and wrongs reserved

Made with sprinkle of Love ♥️ and whole lot of Puppy licks 🐶

To summon me

owl posts are cool, but email works faster.

i solemnly swear i’m up to good design.

All rights and wrongs reserved