Turning Planetary Data into Visible Insights for Sustainable Manufacturing

SaaS Redesign / Data Visualization / Design Systems

/ SaaS Redesign
/ Data Visualization
/ Design Systems

/ SaaS Redesign
/ Data Visualization
/ Design Systems

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Client

Planetary Insights

Role

Product Designer

Timeline

4 weeks

Planetary Insight is a climate-tech platform that helps manufacturers measure their environmental impact against the "Planetary Boundaries" framework. The original interface was a cluttered, engineer-focused dashboard that made critical data hard to interpret. I led the complete UI/UX overhaul, transforming a complex data entry tool into an intuitive insights hub. By streamlining the user flow and redesigning the visualization architecture.

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Assessment Time Reduced

Assessment Time Reduced

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Task Success Rate

Task Success Rate

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User Satisfaction

User Satisfaction

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UI Components Atomic library built

UI Components Atomic library built

Context

The Science of Sustainability - Manufacturers want to be sustainable, but they drown in data.


Planetary Insight allows companies to assess products against the ten "Planetary Boundaries"—from Carbon usage to Biodiversity loss. The goal is to tell a manufacturer exactly where their supply chain is breaking the planet's limits.

▲ Planetary boundaries

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Work

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About

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AI Playground

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AI Playground

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About

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AI Playground

Problem

Cognitive Overload -The original dashboard forced users to work for their insights.

▲ The legacy interface

The platform was suffering from low engagement. The technology was powerful, but the interface was blocking users from seeing the value.

Looking at the legacy interface, the usability issues were glaring:

Disjointed Visualization

The core "Radar Chart" was tiny and disconnected from the "Processes" bar charts on the right, making it impossible to correlate cause and effect.

The "Spreadsheet" Effect

Key metrics were buried in a dense table of raw numbers (e.g., "13.7g Waste") without visual context on whether that number was "good" or "bad."

Hidden Controls

Critical inputs (like "Daily" vs "2030" targets) were hidden in small, unlabelled dropdowns at the top, leading to user error.

▲ Design audit

Research & Exploration

Finding the Friction.
I didn't guess, I timed it.


The "Squashed Tire" Problem. How do you fit 20+ data points into two rings without it looking like a dartboard?

▲ User Researches

To understand why users were getting stuck, I conducted task analysis on the existing platform. The results were brutal: users were taking an average of 8 minutes just to set up a single product assessment.

I mapped out the user journey and identified the bottleneck: the "Input" phase was completely separated from the "Result" phase. Users had to navigate back and forth blindly.

Information architecture & early sketches

The Shift…

I decided to merge context with action. Instead of a long form followed by a chart, I explored layouts where inputs and real-time feedback lived on the same screen.


In early digital drafts, placing labels inside the rings made them unreadable on smaller screens.

In early digital drafts, placing labels inside the rings made them unreadable on smaller screens.


In early digital drafts, placing labels inside the rings made them unreadable on smaller screens.


Solution

Visual Hierarchy & Unified Systems. From a calculator to a cockpit.

The "Squashed Tire" Problem. How do you fit 20+ data points into two rings without it looking like a dartboard?

I redesigned the platform to act as a command center rather than a data entry form, supported by a scalable design architecture.

▲ Updated User Interface

01

Global Status

I replaced the tiny radar chart with a prominent "Planetary Label" visualization. This became the hero of the page, instantly showing users which boundaries (e.g., Nitrogen, Water) were in "Overshoot."

02

Unified Dashboard

I consolidated the fragmented charts. Now, "Processes" (e.g., Dyeing, Knitting) are stacked directly beside their environmental impact, allowing users to see exactly which step in the supply chain is causing the damage.

03

Contextual Data Entry

I introduced a Step-by-Step guide. Instead of overwhelming the user with 50 fields, the system groups inputs logically (Materials -> Processes -> Transport), reducing cognitive load.

The Design System

Semantic Data Palette

I defined a strict color logic for the charts (Green=Safe, Yellow=Risk, Red=Overshoot) to ensure instant data recognition across all screens.

Atomic Component

I built reusable input fields, table rows, and status badges. This dramatically speeds up future development and ensures that a "dropdown" looks the same on the Dashboard as it does in Settings.

Impacts

The "Aha!" Moment.
Real users, real reactions.

During our validation testing with sustainability managers, the shift in sentiment was immediate. One participant, who struggled with the old version, remarked:

"Finally, I don't have to hunt for the red flags. I can see immediately that our 'Dyeing' process is killing our carbon budget. This saves me an hour of analysis."

During our validation testing with sustainability managers, the shift in sentiment was immediate. One participant, who struggled with the old version, remarked:

"Finally, I don't have to hunt for the red flags. I can see immediately that our 'Dyeing' process is killing our carbon budget. This saves me an hour of analysis."

Impacts

The "Aha!" Moment.
Real users, real reactions.

During our validation testing with sustainability managers, the shift in sentiment was immediate. One participant, who struggled with the old version, remarked:

"Finally, I don't have to hunt for the red flags. I can see immediately that our 'Dyeing' process is killing our carbon budget. This saves me an hour of analysis."

Impacts

The "Aha!" Moment.
Real users, real reactions.

During our validation testing with sustainability managers, the shift in sentiment was immediate. One participant, who struggled with the old version, remarked:

"Finally, I don't have to hunt for the red flags. I can see immediately that our 'Dyeing' process is killing our carbon budget. This saves me an hour of analysis."

01

65% Faster Assessmen

I reduced the average time to complete a full product assessment from 8 minutes to under 3 minutes by unifying the disconnected input forms and result charts into a single, intuitive view.

02

96% Success Rate

In validation testing, nearly all participants completed complex data entry tasks without critical errors—a massive improvement from the 58% success rate observed in the original interface.

03

4.8/5 User Satisfaction

User sentiment scores more than doubled. Rising from a poor 2.1/5 to an excellent 4.8/5—as the redesign eliminated the confusion that plagued the original interface.

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