The problem with data products
Most data platforms fail in the same way. The data is sound, the coverage is good, and nobody can find the number they came for. Screens fill with everything the system knows rather than the handful of figures that change a decision, and every new release adds another panel.
The work is deciding what earns its place on screen, what belongs one click away and what should never have been surfaced at all. That is a product judgement before it is a design one, and it needs someone who can hold both.
What we do
We start with the decision, not the dataset. Who is looking, what are they about to commit to, what would change their mind, and how long have they got. From there the structure of the product usually declares itself.
Then the detail: pricing views that survive a volatile day, comparison tools people trust enough to act on, multi-currency and multi-market handling that does not leak into the interface, and reporting that holds up when it is forwarded to someone senior.
Where this comes from
Product direction and experience design for market intelligence and trading tools in renewable energy, supporting more than 32 GW of investment decisions, with 311% growth in users and a 325% lift on the pricing tools specifically. Alongside that, enterprise analytics and multi-currency systems in regulated financial environments.
