Hone makes it easy for farmers to test, analyse and predict the chemical properties of crop samples. Hone's platform uses new developments in spectroscopy to test the chemical traits of any solid or liquid using a combination of a handheld device, a mobile app (shown in this project), and a machine learning cloud solution.

The Process

The main goal of the Hone app is to allow customers to see a breakdown of traits in any sample they have, be it soil, wheat or grass. Hone's customers can do this in two ways, depending on if they have a spectrometer device or not. Rapid flow customers can sync up their spectrometer device and scan samples via their device, instantly seeing the results in their phone. Classic flow customers have the ability to tag a sample, request what traits they want to test for and can then send their samples off to Hone's lab, later seeing the results in the app.

Hone approached me with a list of technical specifications that needed to be included within the app, due to the complexity of the spectrometer devices and the tasks they needed to include for the app to work.

Working from their list of 'jobs to be done' we wire-framed out some screens and solutions as a group. This was an iterative process, over the course of many workshops and conversations via phone call and video chats.

Rapid Flow

In Hone's rapid flow, a customer fills in some basic details about the sample they are collecting, and then selects what variants they would like to measure.

They connect their spectrometer, and perform 3 scans by pointing the spectrometer at the sample. This data uploads to Hone's database, and shortly after they receive the results in app.

Classic Flow

If a customer does not have access to a spectrometer, they can still tag and request variants to be tested on any samples they send through to the Hone Lab. Once these are tested in the lab, they receive the results via the app.