Jason Spidle

Principal product designer

Ever.Ag Desktop

Producers can compare a swine herd's projected margins with feed costs and sales.

Role
Product design lead
Studio
Foundry, 2022 to 2024
Scope
Web app, Design system
Industry
Agriculture, SaaS

I pitched the Ever.Ag engagement and led design across its products. The desktop workspace puts projected swine margins beside feed costs and sales. Our team established the design system, and I later took over maintaining it.

The chart and table use the same units, whether you're looking at total profit and loss, profit per head, or profit per hundredweight (CWT). The recording steps through each view.
Ever.Ag swine population forecast on desktop, a grid of weekly dates against pig age in weeks with head counts for Vonnegut Farms
The forecast shows pig counts by week and age for sales planning. You can scroll across the grid through thirty-two weeks.
You need a name before saving an ingredient. Removing one asks for confirmation because other feed views use the same table.
Swine contracts expand in the list to show their terms and comments, while the status tabs keep a count of each group.
Ever.Ag swine marketing page with stacked monthly bars of pig sales and swine hedge revenue above a projected revenue table
The monthly chart separates revenue from pig sales and hedging. Each month's pig count links to the animals behind it.
Ever.Ag feed ingredients table on desktop dimmed behind an Edit Mineral Blend dialog with pricing fields
The ingredient editor uses the table's fields so buyers can finish entering prices with the full list still visible behind it.
Ever.Ag feed page with stacked percentage bars for soybean meal based ingredients above a single-series chart for other ingredients, December through November
Each ingredient group gets its own monthly feed coverage chart, with a link to the details.
Ever.Ag ground corn page with a table of pending open orders above a matching table of filled feed purchases by vendor
Pending ground corn orders and completed purchases have separate tables. Buyers can filter either by vendor or export it to CSV.