The experience
is the product.
Research-driven product design for the problems that generated interfaces cannot solve.
Generated UI looks right. It does not necessarily work right.
AI design tools are fast and the output is visually credible. What they cannot do is understand why users drop off at step three, how a compliance officer reads a dashboard under time pressure, or what information hierarchy makes sense for a specific workflow in a specific industry. Those problems require research, judgment, and someone who understands both the user and the business. That is what gets products retained, not just launched.
88%
of users are less likely to return to a product after a poor experience, regardless of how the interface was generated or how good it looks in a review
$100
returned for every $1 invested in UX research and usability testing, making it the highest-ROI phase in the product development process
200%
higher conversion rates on well-designed products compared to poorly designed ones, making UX one of the highest-leverage investments in the product
Design for the problems AI tools cannot solve.
Research, systems, complex interfaces, and usability.
Product Design and UX Strategy
End-to-end product design for new products and redesigns of existing ones. User research, journey mapping, information architecture, and interaction design grounded in how your specific users think and behave.
UI Design and Design Systems
Visual design and component libraries built for the teams that have to implement them. Design tokens, component documentation, interaction states, and accessibility standards defined so engineering can build consistently at speed. A design system that lives beyond the initial project.
UX Research and Usability Testing
User interviews, usability sessions, heuristic evaluations, and analytics review to identify where and why the experience breaks down. For products with retention or conversion problems, research is where the answer is. We find it before recommending what to change.
Complex Interface Design
Enterprise dashboards, data-heavy workflows, multi-step processes, and role-based interfaces where information hierarchy and interaction design make the difference between a tool people use and one they avoid. The category where generated UI consistently falls short.
Research first. Design second.
Every decision traceable to something a real user told us.
Understand the user before designing anything.
Research and Discovery
We conduct user interviews, review behavioral analytics, audit the existing product against usability standards, and map the workflows your users actually follow. For new products, we research the target user and the competitive landscape. Nothing is designed until we understand why the current experience is failing or what the new one needs to achieve.
Structure before style.
Information Architecture and Wireframes
We define the navigation model, content hierarchy, and interaction flows before any visual design begins. Wireframes are validated with real users or stakeholders before moving to high-fidelity work. Getting the structure right at this stage is what prevents expensive design revisions later.
Design that reflects the product, not a template.
Visual Design and Prototyping
High-fidelity screens, interaction design, and clickable prototypes built on the validated structure from the previous phase. Design decisions are documented with rationale. Accessibility standards are applied throughout, not checked at the end. Prototypes are tested with users before handoff.
Built to be implemented, not just presented.
Handoff and Design Support
Design files, component documentation, interaction specifications, and asset libraries delivered in a format engineering teams can build from without constant design clarification. We stay available through the build phase to answer questions and review implementation against the design intent.
The work AI tools cannot do.
Research, documentation, and follow-through.
Every design decision backed by user data.
We do not design by assumption or aesthetic preference. Choices about navigation, hierarchy, flow, and interaction are grounded in user research, usability testing, or behavioral data. When a client asks why something is designed a certain way, there is always a documented reason.
Design systems engineering can build from.
A design file that engineers cannot implement without constant clarification is not a finished deliverable. We produce component libraries with documented states, tokens, spacing systems, and accessibility guidelines. The design system works as a shared language between design and development, not a source of friction.
Design that stays accurate through development.
The gap between the design and what ships is where experience quality is lost. We stay involved through the build phase to review implementation, answer questions, and flag deviations from the design intent before they become the product. What the user sees matches what was designed.
Every design decision backed by user data.
We do not design by assumption or aesthetic preference. Choices about navigation, hierarchy, flow, and interaction are grounded in user research, usability testing, or behavioral data. When a client asks why something is designed a certain way, there is always a documented reason.
Design systems engineering can build from.
A design file that engineers cannot implement without constant clarification is not a finished deliverable. We produce component libraries with documented states, tokens, spacing systems, and accessibility guidelines. The design system works as a shared language between design and development, not a source of friction.
Design that stays accurate through development.
The gap between the design and what ships is where experience quality is lost. We stay involved through the build phase to review implementation, answer questions, and flag deviations from the design intent before they become the product. What the user sees matches what was designed.
We used two AI tools to generate the UI before we came to Amorisoft. Both produced something that looked credible in a demo and fell apart the moment a real user tried to complete the onboarding flow. Amorisoft ran three days of user interviews and redesigned the flow in two weeks. Completion rate went from 34% to 71%.
Chief Product Officer
Fintech Startup, Singapore
We used two AI tools to generate the UI before we came to Amorisoft. Both produced something that looked credible in a demo and fell apart the moment a real user tried to complete the onboarding flow. Amorisoft ran three days of user interviews and redesigned the flow in two weeks. Completion rate went from 34% to 71%.
Chief Product Officer
Fintech Startup, Singapore
Have a product experience problem that needs solving?
Bring the brief. One conversation is enough to know whether we are the right fit.