With the wealth of genetic data available for the livestock industry, buying bulls shouldn't be a beauty contest; but many farmers still choose bulls by appearance alone.
Together with the NSW Department of Primary Industry, Meat & Livestock Australia, we built DeSireBull, a world-first search engine that lets buyers and sellers conduct comprehensive searches, simply.
DeSireBull is currently expanding to integrate multiple breeds and moving into a commercialisation phase.
UX design
Visual design
Interaction design
Motion design
Agency → Circul8
Developer → Honza Blasko
Product Manger → Janine Googan
Working alongside expert bull geneticists, we combined complex algorithms with dynamic data sources to calculate a bull's score based on their genetic profile — showing where the real economic value lies.
We tackled this problem by developing a tool that simplifies genetic data by grouping related traits and rating and valuing the bull — something farmers acutely understand.
Sliders are adjusted to refine bull listings, and each represents a grouping of genetic traits (known as EBVs), expressed as a percentile band. Sliders dynamically alter according to the others and the bull listing available.
The EBV subgroups developed by the NSW DPI are still a new concept, so farmers can drill down into groupings to understand them in more detail.
We summarise the index components into a star rating and dollar value, so farmers can quickly see how bulls stack up.