UI/UX Design

Design decisions backed by research, not opinion

UX research, interface design, and design systems for products and websites that need to be used, not just seen.

Quick answer

UI/UX design is research and structure - user research, information architecture, wireframes, and prototypes - validated before any screen gets visually designed, so decisions trace back to observed behaviour instead of internal opinion.

Good interfaces get built on evidence, not opinion - the difference between a design that looks right and one that actually works for the people using it usually comes down to whether anyone talked to a real user before the first screen got styled.

Our process runs in order: research first, then wireframes to agree on structure before a single pixel is styled, then prototypes to test flows before development investment, and finally interface design once the structure underneath it is already validated. Design systems tie it together for anything that needs to stay consistent as it scales - skipping straight to visual design without the steps before it is the single most common reason a "nice looking" interface still tests badly.

Common problems

Problems we solve in UI/UX Design

A redesign starts from opinion, not evidence

A stakeholder dislikes how a page looks, and a new version risks failing the same people the old one did, just differently.

Visual polish applied to a confusing flow

Screens get redesigned while the underlying task sequence - the signup that loses people at step three - stays exactly as confusing.

Structural changes made too late

Moving a section takes minutes on a wireframe but means redoing finished work once it is fully designed or built.

Complex flows ship untested

A new interaction pattern the team has not used before ships on confidence, and problems surface mid-development where they cost far more.

The same component styled three different ways

Consistency depends on everyone remembering the last decision, which stops working the moment more than one person is building.

What's included

Everything covered in UI/UX Design

UX Research

Interviews, usability testing, and behavioural data so design decisions trace back to observed behaviour.

User Experience Design

Information architecture and task flow structured so people complete what they came to do.

User Interface Design

Layout, hierarchy, and component design built on a validated structure, not a portfolio piece.

Wireframing

Structure and content hierarchy agreed in low or mid fidelity before any visual investment.

Prototyping

Clickable simulations that surface interaction problems while they are still cheap to fix.

Design Systems

Tokens, component libraries, and governance so consistency does not depend on memory.

The difference

What actually changes

BeforeAfter
Decisions traced back to whoever argued loudest in reviewDecisions traced back to observed user behaviour
Screens redesigned while the underlying flow stays confusingStructure fixed before a single screen gets styled
Structural changes mean redoing finished visual workStructural changes take minutes in a wireframe
Interaction problems found mid-developmentInteraction problems found in an afternoon of prototype testing
A button styled three different ways across the productA button defined once in a system and reused everywhere
Reporting

What we report on

Findings traced to sessions

Every design recommendation tied back to a specific interview or usability test, not a general impression.

Task completion rate & drop-off point

Tracked on the redesigned flow against the pre-redesign baseline, where analytics exist.

Structural rework avoided

Reported by comparing wireframe-stage changes against changes that would have hit a finished design instead.

Component reuse & design-code parity

Reuse rate versus one-off elements, and how often design and development definitions drift out of sync.

Tools & platforms

Tools we work with

🎨Figma
✏️Adobe XD
📋Maze
📖Storybook
🎨Adobe Illustrator
📊GA4
Relevant industries

Industries we work with

Built for teams like yours
🔍Teams about to redesign without knowing why
📈Products with a measurable drop-off and no clear cause
✅Teams needing sign-off on a complex flow before development
👥Growing products with visible component drift
Why EASI7

Why choose EASI7

We fix tracking before we touch results

Every engagement starts with the same audit we'd run on our own accounts, so the numbers you're optimizing against are actually true.

One accountable team, not siloed vendors

The same team that does this also owns the rest of your stack - no handoff, no blame-shifting between vendors.

Built for how AI search actually works

Everything we build is structured to be extractable by AI answer engines, not just ranked in a list of blue links.

Reporting tied to your own dashboard

Every number we report ties back to GA4/GTM events you can see directly - not a screenshot from a tool you can't independently verify.

Ways of working

How to engage us for this

FAQs

Common questions

At a scale that fits the project - even a handful of user interviews or a review of existing session recordings surfaces more than skipping research entirely.

UX covers structure and flow - how someone moves through a task. UI covers the visual layer on top - layout, colour, typography. Both matter, but UX decisions come first since visual design can't fix a confusing flow.

A documented design system pays off once a product is being built or updated by more than one person - for a single, static site, consistent component styling may be enough without the full system overhead.

That depends heavily on scope - a focused flow can move through research, wireframes, and design in a few weeks, while a full product redesign with a design system attached runs considerably longer. We scope the timeline against the actual project rather than quoting a generic number.

No - we can't promise a specific outcome we don't fully control, since results also depend on the product itself, the market, and factors outside design. What research-backed design does is remove the guesswork and known friction points, which measurably improves the odds without a guaranteed number attached.

Design first, in almost every case - research, structure, and validated flow are far cheaper to change on screen than in code. We only recommend running them in parallel when a timeline genuinely can't absorb a sequential approach, and we'll flag the added risk if that happens.

Get in touch

Building a product interface, not just a marketing site?

We start with research and structure before a single screen gets styled.

0+ Years in market
0+ Engagements delivered
0× Avg. traffic growth
0% Avg. CPL reduction

Ready to get started?

We usually reply within 24 hours.

Reference

UI/UX Design, in detail

Scope, area by area

AreaWhat we deliver
Research & StructureInterviews, usability testing, and information architecture that decide what the design should solve first
Validation Before BuildWireframes and clickable prototypes that surface structural and interaction problems while they are still cheap to fix
Visual DesignLayout, hierarchy, and component design built on a validated structure
Design SystemsTokens, component libraries, and governance so consistency does not depend on memory

How this compares

Research-and-Structure-First DesignStraight to Visual Design
Research and wireframes settle structure before a pixel gets styledVisual design gets commissioned before layout or flow is agreed
A complex flow is prototyped and tested before development startsA new interaction pattern ships on confidence, not evidence
Components are defined once in a system and reusedThe same button gets redesigned slightly differently on every screen

Skipping straight to visual design without the steps before it is the single most common reason a 'nice looking' interface still tests badly.

What we measure this against

  • Whether design decisions trace back to observed user behaviour or to whoever argued loudest in review
  • Task completion rate and drop-off point tracked against a pre-redesign baseline, where analytics exist
  • Component reuse rate and design-code parity, since drift accumulates unnoticed without a documented system

Where this applies

  • A team about to redesign without knowing what's actually wrong with the current version
  • A flow with a known drop-off point and no clear explanation for why people leave there
  • A complex or unfamiliar interaction that needs validating before development time gets spent on it
  • A growing product where the same component is styled differently screen to screen

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