Starting with discovery, a number of user research methods were adopted to capture requirements for allowing factories to monitor and problem-solve their data. This would ultimately enhance performance and efficiency, by reducing downtime of manufacturing lines across multiple sites. Writing user stories, identifying personas, exploring competitor research whilst speaking with customers, engineers and data scientists allowed us to highlight user's needs and their pain-points.
Journey Maps and Ideation
Once conducted sufficient user research and had a clear problem statement, ideation workshops were remotely facilitated to explore features and come up with a diverse range of innovative ideas. Many of the conceptual thinking revolved around dashboard interfaces and personalised widgets, being able to digitally drill-down levels within a factory site and customise the data to be served.
To visualise how users could interact and use the product across multiple touch-points, journey maps were produced adhering to the personas and their user roles.
Wireframes & Site Schematics
Low-fidelity wireframes were produced of the user experience and subsequent schematic maps to help visualise data feeds and the granular level of data.
Once the UX was approved, hi-fidelity clickable prototypes were produced for the business. The design concept was built around customising a dashboard experience, allowing users to add widgets and control the data they see at various touch-points of the user journey to improve efficiency and find alerts within their factory.
Design Language Systems
A design system was adopted with atomic design principles (atoms, molecules, organisms), with documentation produced for the development team to build a global CSS library.