DEAN CLANCY

Iโ€™m Dean โ€” a multidisciplinary designer, strategist, and creative technologist with over a decade of experience building brands, platforms, and products that perform. I work at the intersection of UI/UX, Product Design, & Tech Mobility to craft systems that scale, stories that stick, and experiences that move.

From e-commerce to automotive, motion graphics to mobility systems โ€” I bridge digital and physical design with purpose and precision. Currently training as a commercial pilot while designing for tomorrowโ€™s technologies.

// ABร˜UT

Black and white portrait of a man with a stern expression, short hair, mustache, and beard, looking directly at the camera.

I OPERATE AT THE INTERSECTION OF HMI, CONNECTED VEHICLE,
& AI-AUGMENTED DESIGN
- BUILDING SYSTEMS THAT PERFORM IN THE REAL WORLD, AT SCALE, UNDER CONSTRAINT.

Throughout my career, I have established 10+ years of experience crafting quality products and services for Fortune 500 companies, creative and R&D agencies, state and federal organizations, and numerous startups across industries of all shapes and sizes.

If you are here seeking work inquiries, freelance availability, or want to say hello, please feel free to connect with me on LinkedIn or reach out by email, Iโ€™d love to hear from you.

// PRร˜WESS

Prowess Infographic

ร˜1

UI // UX Design
Product Design
Creative Direction

ร˜2

HCD Methodology
Service Design
XD // CX Strategy

ร˜3

Brand Identity
Design Systems
Brand Collateral

ร˜4

Graphic Design
Film // Photo // Audio
Interaction Design

ร˜5

Prototyping
User Research
A // B + User Testing

// Clients

Logos of Ford, Subaru, Whirlpool, and Gladiator.
Collage of four black and white logos: Carhartt with a stylized 'C' forming a bear's face, Alibaba with its text, Jennair with a geometric icon and text, KitchenAid with bold text.

// PRร˜CESS

Flowchart illustrating the design and development process, starting with research, moving to product design, UX design and prototyping, UI design, development, and ending with delivery.

ยบ WORKFLOW

Design at this scale is inherently iterative โ€” and intentionally so. I operate inside an Agile framework adapted for multi-surface product environments: short sprint cycles, continuous stakeholder alignment, and design decisions validated in parallel across vehicle, mobile, and web rather than sequentially. Agile here isn't a process poster โ€” it's how NDA-level work ships on deadline across distributed teams.

// METHร˜D

The era of Atomic Design has been supersededโ€ฆ


Today I work in an AI-Augmented Generative Systems model โ€” where LLMs accelerate concept generation, stress-test design intent, and surface edge cases before a frame is drawn. Token-driven component architectures are authored for both human designers and AI-assisted generation pipelines simultaneously.

In mobility and HMI contexts, this matters more than anywhere else. When the surface is a moving vehicle โ€” and the user's eyes need to be on the road โ€” design decisions aren't preferences, they're commitments. AI compresses the distance between intent and artifact. Human judgment determines what earns trust.

LC Method
AI-Augmented Design Process
Continuous Iteration
Agentic
Ideation
Prompt-first concept generation. LLMs interrogate the brief โ€” surfacing edge cases, contradictions, and missed user scenarios โ€” before a single frame is drawn.
โ†’โ†“
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Generative
Systems
Token-driven component architecture authored for both human designers and AI-assisted generation pipelines simultaneously. Semantics and decision logic live at the system layer.
โ†’โ†“
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Multi-Surface
Coherence
Vehicle ยท Mobile ยท Web validated simultaneously โ€” not sequentially. State persistence and information hierarchy resolved at the ecosystem level, not the screen level.
โ†’โ†“
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AI-Augmented
Critique
Continuous LLM-assisted review targeting WCAG compliance, cognitive load modeling, and safety-critical HMI scenarios that manual review misses at scale.
โ†’โ†“
HCD
Anchoring
AI compresses the distance between intent and artifact. Human judgment determines what earns trust โ€” because some interface decisions aren't preferences, they're commitments.