Agricultural Intelligence Platform

The client came with business goals and limited product specifications.

Before designing the experience, I needed to understand how the consultancy operated: managing farm properties, collecting samples, interpreting laboratory data and preparing nutrient recommendations.

That meant researching unfamiliar concepts, walking through existing workflows and clarifying requirements with stakeholders. I turned that into product structures, user flows and practical interface directions.

Agricultural data is tied to physical locations. I designed a map-based interface organised around clients, properties and individual blocks.

Fig. 01 is that workspace: colour-coded boundaries on the satellite map, with each block's area and program in the list beside it. Selecting a block opens its record without leaving the property.

The difficulty was holding a lot of spatial information and still keeping navigation and the contextual panel understandable.

Soil and plant testing produces a lot of technical information: nutrient measurements, expected ranges and historical results.

I designed screens for reviewing one test, comparing a measurement with a desired level, exploring how a nutrient has moved, and working on the recommendation that follows.

The work was hierarchy and visual indicators, so dense scientific data could be read as a structure rather than a spreadsheet dump.

Requirements kept moving. I mapped how clients, properties, blocks, samples and recommendations relate, explored where a new capability should sit, and refined the practical version with stakeholders.

That back-and-forth is a normal part of the agency work: learn a specialised business quickly, then turn an ambiguous brief into a coherent product structure.