Enterprise users are captive, expert, and repetitive. They did not choose the tool, they will use it for years, and they will perform the same tasks hundreds of times. That changes what good design means.
Efficiency outweighs discoverability for core workflows. A consumer app optimises for a first-time user finding their way; an enterprise tool should optimise for the thousandth repetition. Keyboard shortcuts, bulk operations, and saved views matter more than an elegant onboarding flow.
Information density is a feature, not a failing. Generous whitespace that forces an expert user to scroll or paginate through data they need to compare is actively hostile. Density should be deliberate and legible, not minimal by default.
Consistency reduces cognitive load more than novelty adds delight. A design system with genuinely consistent components — the same control behaving the same way everywhere — is the highest-leverage investment in an enterprise product.
Error states deserve as much design attention as success states, and usually receive far less. Enterprise workflows fail in mundane ways: validation errors, permission denials, timeouts. Clear recovery paths at those moments determine whether the tool feels reliable.
Accessibility is both a legal requirement in many procurement processes and a straightforward quality improvement. Keyboard navigation, sufficient contrast, and correct semantics benefit every user, not only those using assistive technology.
Performance is a design concern. A beautifully designed interface that takes three seconds to respond is experienced as a bad interface. Perceived speed — optimistic updates, skeleton states, immediate feedback — is part of the design work.
Finally, design for the data volumes that will exist in year three, not the demo dataset. Interfaces that work with twelve records and collapse with twelve thousand are the most common enterprise design failure.