As Inflowmatix confirmed its business value with the first MVP of InflowNet, the need arose to reevaluate how customers are using the software on a daily basis. The previous version was designed on the go to meet mostly the needs of technicians and analysts. To reduce the amount of required customer support, InflowNet was to streamline the experience for key tasks performed by users on the customer's side.
An on-site workshop helped us identify key usage scenarios for a handful of user personas, which we summarized in a UX strategy for InflowNet. Additionally, a new UI kit was proposed to provide brand exposure and a consistent and visual language.
Based on the UX strategy and UI kit, the web app was redesigned from scratch, featuring a revised navigation flow, layout and design language. As Inflownet is a specialiazed and complex app, much focus was put on consistency, especially in terms of "microcopy", i.e. wording in the UI.
The UI kit was provided as a customized Bootstrap theme, with libraries for design (Sketch) and development (CSS/SCSS/JS). This allowed for rapid design and implementation of new features.
Steve Durant (Head of Engineering at Inflowmatix)
Inflowmatix, a subsidiary of SUEZ and based in the UK, specializes in creating solutions for water utilities, empowering them to monitor, comprehend, and enhance the performance of their distribution networks. Underpinned by pioneering research in water network operations and management, the company's offerings, such as "arboricity™" and "InflowSys™", provide real-time insights and high-frequency pressure monitoring for efficient network optimization. With a commitment to ensuring a reliable and trustworthy water supply, Inflowmatix collaborates with stakeholders in the water industry to instill confidence in water resources across all sectors of society.
Water network monitoring web app development
Agile Software Development, Back-end Software Development, Data Visualisation, Dedicated Teams, DevOps as a Service, Front-end Software Development, Utilities, React, Scale-ups
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