UI/UX and Server-Side Development

The whole product, not half of it

User interface and user experience determine whether people can use what you built. Server-side architecture determines whether it stays up, stays fast and stays secure when they do. Treating these as separate disciplines with separate suppliers produces a predictable set of failures: designs that cannot be implemented efficiently, APIs that force awkward interfaces, and performance problems nobody owns.

MCi builds both, in the same team.

Front end: what good looks like

Intuitive navigation

Users should always know where they are and how to get where they are going. Interaction flow should feel obvious in retrospect.

Consistency

Buttons, typography, colour and interaction patterns applied uniformly. Consistency reduces cognitive load and builds confidence.

Responsiveness and accessibility

Optimised across desktop, tablet and mobile, and built to WCAG standards so that people with disabilities can actually use the product. Accessibility is a requirement in most European public procurement.

Speed and performance

Load times, asset optimisation, and smooth interaction. Perceived performance is part of the experience, not separate from it.

Motion and microinteractions

Considered animation and transition to give users feedback on their actions — done with restraint, because motion that does not communicate is decoration.

Personalisation and theming

Light and dark modes as a default expectation, and interfaces that adapt to user preference and behaviour where that genuinely helps.

Design tooling: Figma and Sketch for collaborative wireframing, prototyping and high-fidelity design; Principle and Adobe XD for interaction prototyping.

Back end: what good looks like

Scalability

Architecture that absorbs growth in traffic and data without redesign.

Security

Encryption in transit and at rest, hardened APIs, proper authentication and authorisation, and secure handling of every data boundary.

Performance

Efficient request processing, considered data modelling, effective caching, and response times that hold under load.

Server-side stack: Node.js for event-driven, high-concurrency and real-time workloads; GraphQL where flexible, client-driven queries reduce over-fetching; serverless (AWS Lambda, Google Cloud Functions, Azure Functions) where event-driven economics and elastic scale fit; Docker and Kubernetes for reproducible deployment and orchestration; machine learning integration where behavioural analysis, personalisation or anomaly detection add real value.

How we work

Discovery and requirements, then information architecture and interaction design, API and data model design, implementation with continuous integration, accessibility and performance testing, security review, deployment and observability — and handover with documentation that a different team could actually use.