STUFF
Unified Capture Design Language (UCDL)
Company: Advanced Health Intelligence (AHI)
Complexity: 9.231/10
Fun factor: 9.632/10
Project details
- Platform: iOS, Android, Web
- Design system management: Supernova.io
- Product type: Design system (SDK)
- Design tool: Figma
What is it?
- A design system. The Unified Capture Design Language (UCDL) provides a robust set of modular building blocks for all new and existing platforms as to create a familiar experience for biometric capture.
What did I do?
- Discovery, research, documentation, prototypes, presentations.
What problem does it solve?
- Addressed systemic interface fragmentation across licensed third-party technologies (FaceScan, DermaScan) which violated the Law of Similarity, resulting in high extraneous cognitive load and diluted brand integrity.
- Resolved the Gulf of Execution inherent in remote biometric capture, where users struggled to translate system goals into physical positioning tasks due to a lack of perceptible affordances.
What components were created?
- All Scans: On-screen messaging, camera frame, camera outline, countdown (circular, numeric pre-countdown, timer)
- FaceScan: Scene indicator (stars)
- BodyScan: Alignment
- BodyScan, DermaScan: Camera flash
Challenges & resolution
- Proxemic visual acuity: Standard UI components lost legibility when transitioning between near-field (FaceScan, ~30cm) and far-field (BodyScan, ~3m) contexts.
- Resolution: Engineered algorithmic scaling modifiers (multipliers) within the token system, ensuring optical consistency and accessible contrast ratios regardless of physical user distance.
- Whitelabel governance risks: Unrestricted partner customisation threatened to compromise usability heuristics and biometric capture accuracy.
- Resolution: Architected a semantic token layer that permits brand alignment (colour, typography) while locking critical functional properties, preserving the integrity of the capture experience.
- Heterogeneous tech stack integration: Amalgamating rigid third-party SDKs with proprietary tech created significant technical debt and visual dissonance.
- Resolution: Developed an abstraction layer that wraps external dependencies in UCDL-compliant containers, enforcing a unified front-end logic without altering core backend mechanics.
Strategic Unification
- Synthesised disparate biometric modalities into a cohesive design ecosystem to resolve interface inconsistencies and establish cross-platform semantic continuity.
- Executed a heuristic evaluation of legacy interfaces to define a token-based unified visual syntax, enhancing brand uniformity and strengthening product differentiation.
System Architecture & Tokenisation
- Architected a semantic design token system to abstract visual primitives, enabling programmatic scalability and robust white-label configurations for B2B partner integrations.
- Standardised atomic components and interaction patterns to ensure functional interoperability across web and mobile SDKs, optimising engineering integration and maintainability.
Cognitive Ergonomics
- Exploited existing mental models of photography (e.g. the “Viewfinder” metaphor) to minimise extrinsic cognitive load and lower the barrier to entry for complex physical alignment tasks.
- Engineered context-aware component specifications that dynamically adjust visual affordances—such as stroke weights and scale—based on proxemics and environmental constraints.
Interaction & Feedback Loops
- Designed continuous feedback loops utilising fluid state transitions to maintain system status visibility, bridging the Gulf of Evaluation and mitigating perceived latency during data capture.
- Applied Gestalt principles (Law of Closure/Common Region) to create predictive interface elements that guide user behaviour and heighten perceived system reliability.