Solution & Technical Design

Wireframes and visual designs that map every screen, user flow and interaction before a single line of code is written. Designs are reviewed and approved by the client before development begins — preventing the common (and expensive) situation of building something, showing it to the client, and then rebuilding it.

• User flow and journey mapping
• Low-fidelity wireframes for structure and layout
• High-fidelity visual designs per screen
• Interactive prototype for user flow review
• Mobile and responsive design variants
• Design system and component library
• Accessibility considerations (WCAG)
• Client approval before development begins

Designing how the system is structured — the components, services, data flows and integrations that make up the whole. Architecture decisions made at this stage determine the system's scalability, maintainability and security for years to come.

• Component and service architecture diagram
• Monolith vs microservices decision
• Authentication and session architecture
• API design and versioning strategy
• Caching and performance architecture
• Queue and async processing design
• External service and integration architecture
• Security architecture decisions documented

Designing the data model, schema, table relationships, indexing strategy and data integrity rules before any code is written. A well-designed database is easier to query efficiently, easier to extend, and far less likely to cause performance problems at scale.

• Entity-relationship diagram (ERD)
• Table and collection schema design
• Relationship and foreign key design
• Indexing strategy for query performance
• Data integrity and constraint rules
• Soft delete and data retention design
• Database migration strategy
• SQL vs NoSQL decision with justification

Choosing the right programming languages, frameworks, libraries and tools for the project — based on your requirements, the hosting context, performance needs and long-term maintainability. Technology choices are documented and justified, not arbitrary.

• Backend framework and language selection
• Frontend framework selection
• Database technology selection
• Third-party library and dependency decisions
• Hosting and infrastructure platform
• Build and deployment toolchain
• Technology chosen for long-term support and maintainability
• Client briefed on technology choices and implications

Designing how the system will communicate with external services, third-party APIs and other systems — defining the integration approach, data mapping, authentication, error handling and monitoring before integration development begins.

• External API integration list and assessment
• API authentication approach per integration
• Data mapping between systems
• Webhook vs polling vs real-time sync decision
• Error handling and retry strategy
• Rate limit and quota management plan
• Integration monitoring and alerting design
• Integration documentation requirements

Planning the server infrastructure, hosting environments, deployment approach, scaling strategy and backup configuration — with German and EU hosting available where required. The hosting architecture is designed for reliability, security and the actual traffic the system will face.

• Hosting provider and server type selection
• Environment setup (development, staging, production)
• Containerisation approach (Docker, Kubernetes)
• Scaling strategy (vertical, horizontal, auto-scale)
• CDN and asset delivery configuration
• Backup frequency, retention and restore plan
• SSL and domain configuration
• Estimated infrastructure cost and capacity planning