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Uncarbon

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Sustainability teams were buried in spreadsheets pulled from a dozen systems. I designed Uncarbon — brand and product together — so their data finally read like a decision, not a data dump.

Client
Uncarbon AI
Role
Product Designer
Scope
Brand & product, end to end

Overview

Clear enough to sell a buyer in ninety seconds, deep enough to hold an analyst for ninety minutes.

Uncarbon is an AI-powered ESG and carbon accounting platform that helps enterprises measure, reduce and report emissions. The raw material is messy — inconsistent data scattered across a dozen systems. I designed the brand and the product as one, so the story stays intact from the first pitch to the daily dashboard.

Task

What I owned

I designed Uncarbon end to end, from a blank canvas. That meant creating the logo and brand identity, running stakeholder collaboration and requirements gathering to define what the platform had to do, and then shaping every core flow — data collection, analysis, reporting, and admin. Throughout, I worked in close coordination with developers to keep the build faithful to the design and shippable at scale.

Challenge

The hard part

ESG data is huge, contested, and rarely tidy. I had to make it feel trustworthy and act-on-able without flattening it — and serve two very different people, a curious executive and a rigorous analyst, inside one interface instead of building two products that drift apart.

Uncarbon ESG dashboard — emissions data reconciled from a dozen systems

Research & insights

What the research told me

Stakeholder interviews Data modelling Jobs-to-be-done Dashboard testing Design-system audit
12+ Sources per client

The problem was never volume — it was that nothing reconciled into a single story.

Two readers One screen

Executives wanted the headline; analysts wanted the working. The layout had to hold both at once.

−40% Less clutter

Cutting decorative and duplicate charts made the data that stayed noticeably easier to read.

Process

How I worked

01

Separate the jobs

I interviewed executives, analysts and auditors to untangle what each needed from the same numbers.

02

Model the mess

I mapped how a dozen fragmented sources could reconcile into one trustworthy view.

03

Build brand and product

I designed them together — a calm palette, a disciplined chart set, dashboards that layer detail.

04

Cut what did not earn it

I tested with real analysts and removed every chart that did not lead to a decision.

Uncarbon design system — colour, typography and core UI components

Wireframes & iterations

From rough to right

Before any pixels, I mapped the platform with the team — flows, screens and data structures for onboarding clients, adding data, and managing facilities and users.

Final UI

The shipped design

The shipped product organises all that data around decisions, not tables. A calm dashboard leads with the headline, progressive disclosure holds the analyst-grade depth, and one visual language runs unbroken from the marketing site into the app.

A disciplined chart set that reads at a glance and survives close inspection Progressive disclosure — headline first, the full working on demand Reconciled views that turn a dozen sources into one narrative A design system and brand that never visibly seam apart

Results

The impact

Faster reports

Teams pulled board-ready ESG reports in a third of the time.

−40% Chart clutter

Fewer, sharper visuals lifted comprehension in testing.

8 wks To first pilot

The clearer product shortened the path from demo to signed pilot.

The whole thing turned on restraint. Every chart I deleted made the survivors mean more — and made the platform feel like a tool for deciding, not a place to dump data.