We observe people doing their day-to-day work and interview them about their goals, tools, and difficulties. We document recurring needs and workarounds so your team can base design decisions on evidence.
In workshops with your team, we bring user needs, business goals, and technical constraints into a shared product direction. We compare solution ideas and agree what to explore or build next.
We map how people complete work across roles and systems, including decisions, handoffs, and exceptions. We prioritize tasks by frequency and importance, and identify which steps need to change.
With your team, we inventory your product's information and define how it is grouped, named, and connected. We use card sorting and navigation tests to check whether people can find what they need.
We develop interface designs and working prototypes that let people try complete tasks with realistic data. We test the prototypes with users and refine the interactions before your team commits to implementation.
We review your existing product against usability principles and observe where people struggle with everyday tasks. We redesign the affected workflows and test prototypes with users before the changes reach development.
We define reusable components, interaction patterns, and design tokens for your product. We document their states, usage, and accessibility requirements so designers, developers, and AI coding tools can build on the same rules.
We work with your developers to resolve interaction details and adapt designs to technical constraints. We review the built interface against the design and document the changes needed as implementation progresses.
We examine tasks in your product to identify where AI could help and where conventional software is a better fit. With users and developers, we compare concepts and test assumptions about usefulness and technical feasibility.
We build working prototypes to design how people and AI work together. We define which tasks AI handles and how people interact with it. This includes how they give instructions, review results, and correct mistakes. Where needed, we connect agreed-upon data sources and tools. With users and your developers, we test task completion and how failures are handled and corrected.