Making climate risk readable for an insurer
- AXA Climate
- Data viz
- UX research
- 2024 → 2025

01.The brief
Sound climate models, and underwriters who could not act on any of it.
02.The challenge
Show uncertainty without hiding it
The data was there, the science was sound, and the screen stayed unreadable. We worked the question the other way round: what decision does the underwriter have to make, and what do they need to make it?
We started from the decisions an underwriter makes, then worked back to the data strictly needed for each — and looked for a representation of uncertainty the climatologists validate and the underwriters can read.


03.The product approach
Start from the decision to be made, work back to the data.

Start from the decision
We listed the decisions an underwriter makes, then worked back to the data strictly needed for each.
Drawing uncertainty
Several representations tested with both trades, until we found one the climatologists validate and the underwriters can read.
Our approach: draw uncertainty rather than round it off.
001.
Uncertainty that has to be shown
A climate model gives ranges. Hiding them would be false, showing them raw is unreadable.
002.
Two trades that were not talking
Climatologists and underwriters shared neither the vocabulary nor the expectations.
003.
A decision to be made fast
An underwriter assesses a file in minutes, not in half a day of reading.
04.The outcome
Three times as many files assessed

Checking against real case files
Assessment sessions filmed on real files, at every iteration, rather than lab testing.
05.Our impact
× 3
files assessed per underwriter per week.
-52%
fewer questions escalated to the science team.
9/10
stated satisfaction after six months of use.
« Six weeks of framing saved us a year of building in the wrong direction. »
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