"Why are data-intensive apps in enterprise, healthcare, and the public sector so unusable and scary-looking? Proven design techniques such as user research, information architecture, design patterns, and plain language guidelines turn data-intensive apps into information to easily act on. You don't need AI to do this. There is accounting for taste When choosing an accountant, the adage to find someone stereotypically boring, committed to a long, unadventurous journey, but good with the numbers is well-known, though outdated."
"However, this "dull and painful" advice still resonates in application experiences intended for data entry and view by citizens, journalists, healthcare workers, students, call centre teams, and more. That's not good enough anymore. Expectations about all digital user experiences have evolved. We'll all been there. Typical app for the world of desk-based work. AI-generated. Or is it? (screen: Ultan Ó Broin) Worry about the government"
Data-intensive enterprise, healthcare, and public-sector applications often appear unusable and intimidating because of cluttered interfaces and poor design choices. Proven UX techniques—user research, information architecture, established design patterns, and plain-language guidelines—convert dense data screens into clear, actionable information. Achieving usable interfaces does not require AI. Legacy CRUD mindsets, stakeholder assumptions, and field-dumping produce pages with dozens of illogically placed fields and distracting colours. Public-sector teams have UX resources and design standards available, but implementation and political will lag. Rising user expectations make dull, error-prone forms unacceptable for modern workflows.
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