Climate MAP — Turning Complex Climate Data Into Clear, Actionable Insights

Overview

Climate MAP is LSEG’s Workspace application that helps investors, corporates, and banks quickly understand a company’s Climate Management, Ambition, and Performance. I partnered with senior climate researchers to define the MAP framework and led the product and UX strategy for the first release — turning complex, scattered climate disclosures into a clear, structured view users can trust.

The Problem

Climate data is huge, inconsistent, and difficult to interpret. Users struggle to understand:

• Whether a company has credible net-zero plans

• How strong its governance is

• How its emissions are trending

• What’s reported vs modelled

• How to compare companies reliably

The result: climate risk analysis is slow, confusing, and hard to defend.

My Role

• Co-defined the 3-pillar MAP framework (Management, Ambition, Performance)

• Led the UX, IA, and product strategy for the Workspace integration

• Designed a structured narrative that blends reported and modelled data transparently

• Built the comparison and deep-dive experience across hundreds of metrics

• Partnered with engineering, climate researchers, and data science teams

Solution

I designed Climate MAP as a structured, transparent evaluation model that helps users quickly understand climate credibility.

Key elements:

• Three clear pillars that simplify complex climate signals (Climate Management, Ambition, and Performance)

• Transparent indicators showing what’s reported vs modelled

• Forward-looking insights aligned with global frameworks

• A clean comparison model for peers and sector pathways

• A guided IA that moves from high-level confidence signals to detailed evidence

The experience is simple, but the underlying data is deep — from targets and transition plans to emissions trajectories and sector benchmarks.

Impact

• Delivered the first Climate MAP application within LSEG Workspace

• Helped users make confident climate decisions with a unified model

• Strengthened trust by clearly separating reported vs modelled data

• Adoption grew ~176% between July and October 2024 (peaking at 526 monthly users)

• Created the foundation for future climate analytics, benchmarking, and ITR-driven insights