Indigo collected a huge amount of farm machine data from field trials. The problem? Cleaning this data was a grueling task for agronomists with their existing tools.

This was a JTBD study to find underserved buyer needs. But then, it grew into something much larger. Five parallel design sprints and a user testing battle royal

Ironside had developed a machine learning (AI) model to help underwriters better evaluate risk. But could we get underwriters to adopt this new, unproven tool?

Can we transform a motley bunch of developer-centric tools into the business-friendly BPM Suite that we’ve promised in our marketing materials?

I led a cross-team workshop to help clarify the roadmap and strategy during a major repositioning of Indigo’s Market+ product.