Data-intensive apps for work don't need to be UX-hostile and butt-ugly

"Why are data-intensive apps in the enterprise, healthcare, and public sector so unusable and scary-looking with data fields machine-gunned onto every page? Proven design techniques such as user research, context of use, design patterns, and plain language guidelines turn such experiences into information to easily act on. You don't need AI to do this. Accounting for taste When choosing an accountant, the adage to find someone archetypically boring, committed to a long, unadventurous journey, but good with numbers is well-known. However, it is outdated."

"The higher education, human resources, financial, customer support, service, and healthcare worlds have inflicted plenty of apps demonstrating how basic design thinking and user experience are alien concept s. You know it: That familiar professional expertise-devoid app experience for data work. (Screen: Ultan Ó Broin) Do not excuse the government and public sector technology teams for being behind the times with those appalling UIs. There are government UX resources available for public-sector digital transformation (the political will to use them is another matter)."

Data-intensive applications in enterprise, healthcare, and public-sector environments often present dense, intimidating interfaces with many poorly organized data fields. Proven design methods—user research, context-of-use analysis, established design patterns, and plain-language guidelines—convert cluttered screens into clear, actionable information without relying on AI. Treating internal or staff-facing apps as exempt from user experience design produces low usability and frustrated knowledge workers. Many public-sector and institutional technology teams build forms and interfaces from technical or managerial viewpoints rather than user needs. Available government UX resources and design standards can guide better digital deployments and improve outcomes.

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