Dashboard design
Give each screen a clear job, with the right information and actions within reach.
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- Screen structure, so each screen has one clear job
- Tables and filters built at real data density
- Navigation between the screens people use most
- Primary actions placed where the decision is made
- Key states designed, such as loading, empty, error and needs attention
- Reusable patterns the rest of the product can build on
- For AI products: review queues, confidence and sources where the workflow needs them
- 1
Map the system
What runs on its own, what needs sign-off, and who watches it.
- 2
Draw the control line
Decide what an operator must read before they can act.
- 3
High-fidelity screens
Real data, real edge cases, real failure states — not lorem.
- 4
Spec + handoff
Tokens, states and rules mapped cleanly to code.
Celium: each GPU card leads with count, model and price per hour, one filter rail narrows the list in place, and Rent Now sits on every card so comparing and renting happen on the same screen.
The screen has to be read and acted on, often under time pressure. That means designing the states most interfaces skip: running, waiting, failed, and needs-review, at real data density rather than with placeholder rows.
Data-heavy SaaS, AI, fintech, healthtech, and operational products. Teams shipping something users have to read, trust, and act on.
Two to five weeks depending on scope. Most design projects land in the two to six week range, and you get an exact timeline before we start.