Product discovery & UX research
User interviews, Jobs-to-be-Done mapping, and usability audits that turn ambiguity into a problem engineering can actually solve.
UI/UX & Product Design
Interfaces people trust, on products built to scale.
From research to component-level delivery, we design the moments that decide whether a product is trusted — confidence in AI output, clarity under complexity, and interfaces engineering can build without reinterpreting the spec.
Who it's for
The situations where design changes the outcome.
Engineers are designing the product by default
When there's no one dedicated to interaction design, developers make the calls — and the product ships working screens that don't hold up under real use.
AI output needs a way to earn trust
Confidence, uncertainty, and failure need a visual language people can read at a glance — not a raw model response dropped into a UI.
Adoption lags behind the feature set
The product does what it's supposed to, and people still don't use it. That gap is usually the interface, not the roadmap.
The interface has to hold up under scrutiny
Healthcare, fintech, and other regulated or high-stakes products need interfaces people are willing to act on, not just look at.
Every screen is a one-off decision
Without a shared system, each new feature reinvents its own patterns, and the product drifts further from being consistent.
Design and engineering are out of sync
Mockups stop matching what ships. Closing that gap needs someone who stays through implementation, not just through handoff.
What we design
From research to shipped interface.
UI design & design systems
Component-level design in Figma, backed by a token-based system your engineers can maintain across web, mobile, and admin surfaces.
Interaction design for AI products
Confidence indicators, fallback states, and progressive disclosure for the moments where a model's output meets a person's judgment.
Interfaces for operational complexity
Dashboards, control surfaces, and multi-role tools designed for people making real decisions under real constraints, not demo-day simplicity.
Design handoff & implementation QA
Redlines, implementation notes, and a design QA pass before launch. We stay through the build, not just through the mockups.
Usability testing & iteration
Structured testing against real tasks, not opinions, so design changes are backed by what people actually do.
Designing for AI
AI output is a design surface, not just a model response.
We treat uncertainty, confidence, and failure as design problems, with artifacts that make the reasoning visible before code ships.
Representative artifacts
Confidence indicators
Visual language for how sure a model is, so people know when to double-check and when to move on.
Fallback & failure states
What the interface shows when a model can't answer, answers wrong, or times out, designed before it happens in production.
Progressive disclosure
Complex or uncertain output revealed in stages, so people aren't asked to trust a black box all at once.
Human-in-the-loop review flows
Interfaces for the moments a person needs to approve, correct, or override an AI decision, with the review step designed in, not bolted on.
How we engage
A compact path from audit to ownership.
Audit / discovery
We review what exists — product, users, and constraints — before proposing a single screen.
Product & interface design
Research-backed design in Figma, reviewed against engineering feasibility as we go, not after.
Build to production
Design and engineering run together through implementation, with a QA pass before launch.
Learn & own
Once it ships, the design system and rationale are yours to extend, with no dependency on us to change a screen.
Selected work
Interfaces for AI and operational complexity.
A mix of design systems and concept explorations, labeled clearly as what they are.
Questions
Common questions
Do you design without also building the product?
Yes. Design-only engagements are common, especially for teams with in-house engineering. We hand off Figma files, a design system, and implementation notes.
How long does a typical design engagement take?
Discovery and design usually run three to six weeks depending on scope, then continue alongside implementation if we're building together.
Do you work with an existing design system?
Yes. We audit what exists first and extend it where it holds up, rather than replacing working patterns for the sake of a fresh look.
What do we actually receive?
Component-level Figma files, a token-based design system, redlines, and implementation notes your engineers can work from directly.
Design and engineering in one engagement.
Design holds up best when it runs alongside engineering, not ahead of it. Book a call and we'll scope both together.