Make a complex product feel obvious.

At a glance

Strong design is not decoration. It removes uncertainty.

Tangible brings product strategy, UX research, interaction design and interface craft into one practical design process. The result is a product that is easier to understand, easier to adopt and easier for engineering teams to build.

Best suited for

• A new AI or SaaS product that needs a coherent experience before development
• An existing product with confusing flows or weak activation
• A complex internal tool that users avoid or work around
• An AI feature that must make confidence, sources and control visible
• A design system that needs to support multiple products or teams

What this changes for you

• Clarify the product proposition and the job it must perform.
• Reduce user effort across onboarding, core workflows and decision points.
• Make AI behaviour, uncertainty and human control understandable.
• Test important journeys before committing engineering capacity.
• Give developers documented components, states and interaction logic.
• Create a scalable visual and interaction system rather than isolated screens.

What we deliver

• Product and experience strategy
• Stakeholder and user research
• Journey maps, service blueprints and information architecture
• User flows and low-fidelity wireframes
• Interactive prototypes for testing and alignment
• High-fidelity responsive UI design
• AI interaction patterns, feedback states and confidence cues
• Conversion-focused onboarding and activation flows
• Design systems, component libraries and usage guidance
• Developer handoff, specifications and design QA

Our design process

1. Define the decision

Identify who the product serves, what they are trying to accomplish and what stops them today. Convert business objectives into observable user behaviour.

2. Structure the journey

Design the information architecture and core flow before visual polish. Include edge cases, empty states, permissions, errors and human escalation.

3. Prototype the experience

Create a testable interaction model. Use realistic content and data so feedback reflects how the product will actually feel.

4. Build the interface system

Apply visual language, responsive behaviour, components and motion. Document the states engineering will need, not just the ideal screen.

5. Support implementation

Work alongside engineering, review built experiences and resolve design decisions that appear only when real systems and data are connected.

Designing AI experiences responsibly

An AI product must show more than an answer. Good AI product design clarifies what the system can do, what it used, when it may be wrong and how a person can correct or override it. We account for loading, partial results, citations, confidence, consent, memory, escalation and recovery from failure.