5 Steps to Design a Better Machine Learning User Experience
When In 2017 I joined Merlon Intelligence, I quickly learned that designing for machine learning is different. Your static screens in Figma are more distant from the real world experiences than ever before. If you want to design great machine learning user experiences you need to design more than interfaces. You need to design how machine learning works.
Merlon Intelligence is an application for searching people and companies in databases for negative news. Like when you google somebody’s name before you start working with them and decide if the entity can cause some risk for you or your business. It uses machine learning to serve you the most relevant articles and highlight the information for easier decision making. As a team we worked really hard to ensure its accuracy and reliability. And as a designer I was learning a lot of how machine learning works and how it affects user experience.
Since then machine learning (ML) became an underlying theme of the products I have worked on. During this time I found that some things worked better than others. Many guides about ML are written by people speaking about technology details, often missing focus on the user experience. This guide is written with tips you can start using immediately after reading this article, so you can become more valuable designer and steer the decision-making process towards more human centered ML.
