Climaty AI - Measure

Designing a real-time carbon intelligence platform

Designing a real-time carbon intelligence platform

Marketing teams run campaigns across a dozen channels but have no reliable way to see the environmental impact of any of them. Carbon visibility simply doesn't exist inside day-to-day campaign operations.

My Role

Product Designer

Team

Product Manager

Engineering

Timeline

Aug 2024 – Nov 2025

TOOLS

Figma & Claude

Project & Business Context

Project & Business Context

Measure helps marketing teams see the carbon footprint of every campaign they run, across digital, TV, print, and outdoor, before a campaign launches and after it ends.

Users

Two customer types on one platform:

  • Marketing teams – running large ad budgets across digital, TV, print, and outdoor

  • Sustainability teams – responsible for reporting on and reducing environmental impact

MY ROLE

I worked with a PM, engineering, and marketing team, took the sustainability goals the business was chasing, and turned them into an actual measurement product, from the calculation model through every screen.

The Problem

The Problem

Marketing's environmental impact is invisible, and the tools built for it don't separate two very different jobs.

problem statement

Before a campaign launches, a team needs to know if a plan is within carbon budget. After it ends, they need to know what actually happened and what to change next time. Cramming both into one dashboard means neither job gets done well.

proof

Carbon reporting today is manual, scattered across tools, and disconnected from day-to-day media buying. Nobody could confidently say what their campaigns actually cost the planet, before or after running them.

Research (Stakeholders / End User)

Research (Stakeholders / End User)

Through founder introductions, I talked directly with 15+ marketing and sustainability leaders. One thing was clear fast: nobody wanted a new dashboard, they wanted carbon data built into the tools they already used.

what they said

  • "One place is the dream." Data scattered across five tools helps nobody

  • "How was this calculated?" People needed to trust the number, not just see it

  • A report telling you the problem isn't useful if it doesn't say what to change

  • "Reports take weeks." By the time data arrived, the campaign was already over

Sitemap Diagram

Sitemap Diagram

Quick Product Walkthrough

Quick Product Walkthrough

The Approach

The Approach

A system split into Pre-Campaign and Post-Campaign, each doing one job well, plus a connected Programmatic workflow for media buying and a real Offset marketplace for compensating what can't be reduced.

Key Design Decisions

Key Design Decisions

  1. Measure splits into Pre-Campaign and Post-Campaign. Pre-Campaign covers the dashboard and plan setup. Post-Campaign covers the report and insights.

  1. Measure splits into Pre-Campaign and Post-Campaign. Pre-Campaign covers the dashboard and plan setup. Post-Campaign covers the report and insights.

why

Planning and reviewing are different jobs. Splitting them keeps each view focused instead of mixing drafts with results.

  1. Post-Campaign covers the report and insights, separately. This is the review view, showing what actually happened: total emissions, AI insights, and filters by region or platform.

  1. Post-Campaign covers the report and insights, separately. This is the review view, showing what actually happened: total emissions, AI insights, and filters by region or platform.

why

Reviewing is a different job from planning. Keeping it in its own view means it doesn't get buried under draft plans, or dilute the planning screen with historical data.

  1. Compare plans side by side with tradeoffs and CO₂ breakdowns. Add more plans to test alternatives, then view carbon reduction alongside budget and impressions.

  1. Compare plans side by side with tradeoffs and CO₂ breakdowns. Add more plans to test alternatives, then view carbon reduction alongside budget and impressions.

why

Picking a media mix means comparing options, and "reduced carbon by 15%" means little without knowing what it cost in budget or reach.

  1. Offsetting is a real marketplace, not a checkbox. Real projects show up with region, price per tonne, and credits available.

  1. Offsetting is a real marketplace, not a checkbox. Real projects show up with region, price per tonne, and credits available.

why

Teams want to choose what they're funding. A real marketplace feels like a purchase, not a guilt tax.

Constraints

Constraints

  • Digital, TV, and print data differ, so the system had to normalize them into one model.

  • Real-time calculations had to be accurate, not just fast, to earn trust.

  • Sustainability had to fit into existing media-buying workflows without slowing them down.

  • Pre-Campaign and Post-Campaign share data but needed to feel like distinct modes.

  • Digital, TV, and print data differ, so the system had to normalize them into one model.

  • Real-time calculations had to be accurate, not just fast, to earn trust.

  • Sustainability had to fit into existing media-buying workflows without slowing them down.

  • Pre-Campaign and Post-Campaign share data but needed to feel like distinct modes.

Outcomes

Outcomes

28+ companies onboarded, across logistics, FMCG, pharma, and education.

28+ companies onboarded, across logistics, FMCG, pharma, and education.

  • 95% calculation accuracy, checked against GHG standards

  • 78% of teams kept using the platform past month 3

  • Reports that took weeks now take 5 minutes

  • 40 hours saved per team, every month

  • $850K ARR

Numbers tracked with the founding team as part of regular product metrics.

What I Learnt

What I Learnt

Teams only use carbon data if checking it feels as easy as checking any other metric, like budget or clicks. That's why splitting the product into "before the campaign" and "after the campaign" mattered so much. People plan and review at different times, for different reasons, so the product needed two separate views instead of one that tried to do both.

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