Managing 140,000 cattle faster, and more accurately.

When you have 140,000+ cattle stored and moved around the country it takes a well connected system to manage the inventory, cost, and value. We built a system the enables real-time data at an individual animal level. Making managing and analyzing more effective than ever.

Hypothesis: by mapping out all the expeted data and necessary alogrithms used to decide animal level value and cost, we can connect and manage the data in the cloud to support real-time updates and analysis.

Our challenge: the client was using spreadsheets to manage their data and updating them on a rolling montly basis. This meant their data was always out-of-date and relied on intuition and expeterise to guess at the actual cost and value. We were tasked with fully understanding the tasks performed to manage the monthly rollover and convert the data to an automated system.

Our first task was to gain an initial understanding of the ecosystem and all the various aspects involved.

Mapping out the key job performs represented by the core team of ~6 people managing the 140,000 animals.

Creating job maps for each of the represented roles so we could document the jobs that needed to be supported, or assumed, by the new system we were building.

Using object oriented UX to document and map all of the animal level data the system would need to track. Including the relationshis between objects, their attributes, and the actions the users would be able to take within the system.

Understanding how the data would get entered into the system and what algorithms would need to be run to process and interpret that data for end-user analysis.

Mapping out system roles and the permissions they have within the system.

Wireframes and UI designs used to document design decisions and illustrate key interactions for the engineering team.

Mapping all of the intended data colletion to the various screens within the system to provide an overview for where and how it wold be accessed by the team.