↘️ Livestock process automation for Stanbroke
↘️ Livestock process automation for Stanbroke

↘️ Livestock process automation for Stanbroke

Brief

Time Mar 2020 - June 2020

Client Stanbroke

Industry Livestock

Internal team Project manager | Engineers | Solo designer

Stakeholders Subject expert | Back end lead

My role Lead designer

My responsibilities Client engagement

Stanbroke is a family-owned Australian integrated beef and cattle company, which offers a full range of Grain and Grass-fed beef categories and export to over 35 countries globally.

Problems

After multiple conversations with a subject matter expert, and 2 software engineers from Stanbroke, we got a good understanding of how did Stanbroke operate their business, what challenges were they facing, what did they expect to get from working with NetEngine.

One of the biggest challenges they were facing was many of their processes were manually done via Excel and papers, which can easily cause errors and also make it really hard to scale the team or onboard new staff.

As you can see the 2 red boxes showing on the diagram, there're multiple processes that we can tackle and digitalize, however, we decided to focus on automating and validating the data capture of the kill sheet generation process at the early stage of our partnership.

How did Stanbroke operate before the digital solution
How did Stanbroke operate before the digital solution
How officers manually collect information from multiple papers to generate kill sheet
How officers manually collect information from multiple papers to generate kill sheet

Understanding the data relationships

In order to automate and validate the data capture, I put a lot of effort into understanding what do the 25+ variables exactly mean and what are their underlying relationships by talking with the subject matter expert and asking a lot of questions.

After some really condensed and valuable conversations, we realized that there're 3 data points linked to every vendor, and there're 6 data points linked to every cattle class.

💡

Learning point Communication is key! Don't assume your client know what you know. Being really clear about what do we need from client and Knowing how to dig out valuable information from client is absolutely cruicial!

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Design

As I mentioned above, automating and validating data capture is more about making sure the data is compliant, the process is smooth and intuitive, and giving alerts in time to mitigate any risk.

From what we learned from talking with the subject matter expert from Stanbroke, most of the end-users won't be as tech-savvy as designers and developers in the IT industry, so I tried to make the overall UI really bold, simple, minimal to make sure it's easy to follow through

This flow focus on showing the intuitive data relationships while end users editing lots
This flow focus on showing the intuitive data relationships while end users editing lots

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