Pioneer Fungicide Timing Tool
## key insight
Agronomists don't need a dashboard — they need a decision. Every design choice was measured against one question: does this make the spray/wait call clearer for someone standing in a corn field?
## the challenge
Corn farmers and agronomists make expensive, time-sensitive fungicide decisions across hundreds of fields. The data — localized weather, leaf wetness, soil characteristics, hybrid disease tolerance — is genuinely complex. A wall of numbers is useless. The tool had to compress it into a clear, defensible recommendation with the reasoning visible.
## architecture & process
┌─Real-time localized weather data· forecast + observed conditions per field
├─NCLB disease progression model· Northern Corn Leaf Blight prediction
├─Gray Leaf Spot (GLS) model· second disease model integrated
├─Hybrid disease tolerance database· Pioneer seed product data
├─Soil characteristics layer· per-field environmental context
└─Granular Insights platform· web + mobile, live on pioneer.com
## key decisions
- Conducted discovery autonomously with domain experts (agronomists + seed reps) — research strategy, interviews, usability testing, insight synthesis. No prior research to build on. First-of-its-kind build.
- Designed for domain experts, not SaaS users. Every pattern was validated against 'would an agronomist trust this?' before shipping.
- Made the 'why' first-class: every recommendation surfaces weather inputs, disease model outputs, and hybrid tolerance alongside the call. Agronomists don't trust black-box outputs.
- Compressed data-dense inputs into a scannable per-field decision card. Spray, wait, or monitor — and here's why.
## results
live
pioneer.com / Granular Insights
2 diseases
NCLB + Gray Leaf Spot modeled
real-time
per-field weather + disease recs
optimized
fungicide ROI per field
## tools used
FigmaDovetailMazeGranular Insights platform
## screens
