"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 legendary."
"This "dull and painful" advice still resonates in application experiences intended for data entry and information viewing by citizens, healthcare workers, students, call centre teams, and more. That's not good enough anymore. Expectations about all digital user experiences have evolved. Arguing that apps are for "internal" or "staff" use 'only' and so user experience design is unnecessary is insulting and wrong."
Data-intensive enterprise, healthcare, and public-sector applications often present overwhelming, unusable interfaces with densely packed data fields and poor layout. Expectations for digital user experiences have increased, and dismissing UX for 'internal' applications is inappropriate. Proven design methods—user research, context-of-use analysis, established design patterns, and plain-language guidelines—produce interfaces that convert complex data into actionable information. Government and public-sector procurement practices frequently produce poor UIs despite available UX resources and national guidelines. Practical design attention to context, accessibility, and visual hierarchy reduces cognitive load and improves task efficiency without requiring artificial intelligence.
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