Research-backed principles and implementation guides from 20+ years of design experience. Built for working professionals who need evidence-based rationale to defend their design decisions.
Building the most comprehensive, research-validated design framework in the world
AI and humans both guess when they lack evidence. Every principle here comes with peer-reviewed citations—so you never have to argue with "I feel" again.
Stop reinventing the wheel. Apply proven patterns that have been validated across thousands of products and millions of users.
Connect academic research with real-world implementation. Each principle includes modern examples from companies like Stripe, Linear, and Notion.
Provide a shared vocabulary for designers, developers, and product managers to collaborate effectively across teams and organizations.
I'm Jose Hurtado, a T-shaped designer with 20+ years of graphic design experience, 8 years specializing in UX, and full-stack development education. For 5 years at DXagency (Miami/LA), I worked with clients across industries—from startups to enterprise companies. Every design presentation came down to the same question: "Why did you design it this way?"
Early in my career, I'd respond with "it looks better" or "it's a best practice." Clients weren't convinced. They wanted evidence, not opinions. This led me to dive deep into academic UX research—MIT's HCI Lab, Nielsen Norman Group, Google Research, Stanford HCI Group. I discovered that nearly every design principle I used had decades of peer-reviewed research backing it. The problem? This research was scattered across hundreds of academic papers, buried behind paywalls, written in academic language that didn't translate to client presentations.
I built UX/UI Principles to solve this: 185 evidence-backed principles with 2,300+ references, organized into a systematic framework that working professionals can actually use. Now when clients ask "why?", designers can reference Cognitive Load Theory (Sweller, 1988) instead of personal preference. I operate through UXUI Principles and built the platform with 100% English/Spanish parity, reflecting Miami's bilingual design community where I worked. My mission: Move UX from opinion-based to evidence-based decision making.
A progressive learning path from foundational concepts to advanced implementation
Why users click, scroll, and abandon. The psychology behind every decision.
The 30 laws that fix 80% of interface problems. Hick's, Fitts's, Miller's, and more.
From one-off fixes to scalable patterns. Build once, deploy everywhere.
Navigation, forms, feedback, errors. Battle-tested solutions you can ship today.
AI validation, voice UI, AR/VR, plus ResearchOps, DesignOps, and research strategy. Specialized practice and emerging tech, with evidence.
Accessibility, ethics, and inclusion. Design that works for 100% of users.
A rigorous four-stage methodology ensures every principle is validated, actionable, and measurable
Systematic literature review of peer-reviewed studies from HCI, cognitive psychology, and design research. Minimum 15-25 citations per principle.
Cross-reference findings across multiple studies. Verify replicability and statistical significance. Exclude one-off findings and unsupported claims.
Analyze real-world implementations from 50+ companies. Document successful patterns, common pitfalls, and measurable outcomes.
Monthly updates with new research findings. Community feedback integration. Evolving examples as design patterns mature.
What's Live — and What's Coming
Current Value: $29/yr gets you 185 principles (less than $0.18 per principle)
Professional Impact: Achieve 67% faster stakeholder alignment
What's Included: A full methodology backed by 2,300 research citations
Added Value: Integrate UX principles into your AI workflows
Professional Impact: UX validation in Claude Code, Cursor, and any AI tool
What's Added: REST API ($19/yr), MCP Server ($19/yr), Context Packs ($5)
Added Value: +$500+ worth of AI consultation (included free)
Professional Impact: Instant expert guidance for complex UX decisions
What's Added: Custom AI trained on complete framework methodology
Every principle in this library is backed by peer-reviewed research. Reference Miller's Law when limiting menu items, or cite Hick's Law when simplifying choice architecture.
Apply Nielsen's heuristics to evaluate interface effectiveness. Use consistency principles to reduce learning curves and create intuitive navigation patterns.
WCAG guidelines ensure your interfaces work for all users. Proper contrast ratios, keyboard navigation, and screen reader support are non-negotiable standards.
Voice UI requires conversation design patterns. AR/VR needs spatial UX considerations. AI interfaces demand transparency and user control principles.
Every principle in this library is backed by peer-reviewed research. Reference Miller's Law when limiting menu items, or cite Hick's Law when simplifying choice architecture.
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Catch AI mistakes before your users do. 185 research-backed principles. Free AI validation tools.