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Part 1FoundationsPart 2Core PrinciplesPart 3Design SystemsPart 4Interface PatternsPart 5Specialized DomainsPart 6Human-Centered
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OpenAI logo
MIT logo
Duolingo logo
Linear logo
Notion logo
Stripe logo
Vercel logo
Nielsen Norman Group logo
Google AI logo
Meta Platforms logo
OpenAI logo
MIT logo
Duolingo logo
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Notion logo
Stripe logo
Vercel logo
Nielsen Norman Group logo
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Research Sourced From
Leading Organizations

Every principle backed by peer-reviewed research and academic citations—not opinions or testimonials.

168+ Principles
2,098 Citations (2020–2026)
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UX/UI Designers

Gut Feelings → Research Citations

You spot UX issues but can't articulate why—stakeholders push back.

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Product Managers

Features → Validated Outcomes

Shipping fast with AI but unsure if UX will convert until it's live.

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Developers

AI Output → Production-Ready

AI-generated UI looks amateur. You know it's wrong—but not why.

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Solo Makers

Guessing → Confidence

Building alone, every UX decision feels like a guess.

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Foundations32 Principles

168 Research-BackedUX Principles

Six categories with 2,098+ academic citations—transform every interface decision with evidence

Foundations

32 Principles • 2 Chapters

Part 1 of 6

Foundations

Why users click, scroll, and abandon. The psychology behind every decision.

32Principles
2Chapters
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Part 2 of 6

Core Principles

The 30 laws that fix 80% of interface problems. Hick's, Fitts's, Miller's, and more.

35Principles
2Chapters
Explore Core Principles Principles→
Part 3 of 6

Design Systems

From one-off fixes to scalable patterns. Build once, deploy everywhere.

22Principles
2Chapters
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Part 4 of 6

Interface Patterns

Navigation, forms, feedback, errors. Battle-tested solutions you can ship today.

23Principles
2Chapters
Explore Interface Patterns Principles→
Part 5 of 6

Specialized Domains

AI validation, voice UI, AR/VR. Design for what's next—with evidence.

43Principles
13Chapters
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Part 6 of 6

Human-Centered

Accessibility, ethics, and inclusion. Design that works for 100% of users.

13Principles
2Chapters
Explore Human-Centered Principles→

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Everything Included:
  • 168 research-backed UX/UI principles
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Perfect for: UX/UI designers who need research-backed evidence to defend their decisions

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Frequently Asked Questions

Common questions about the framework and how it fits your workflow

This is for designers and developers who build interfaces—people who actually push pixels, write code, and ship screens. If you're debugging a form, reviewing AI output, or trying to explain to stakeholders why a layout won't convert, this is your reference. NOT for: Growth strategists, C-level advisors, or executives focused on CAC/MRR metrics. If your work isn't directly creating user interfaces, this won't help you.

ChatGPT can help you think, but it doesn't give you a standard. Every response is different—no structure, no shared language for your team. UXUI Principles gives you a fixed, complete map of 168 principles with definitions, role-specific guides, and relationships between them. Whatever AI model you use tomorrow, you'll still need a common language, a reference standard, and stable criteria that doesn't change every time you switch models. AI is great for generating; UXUI Principles helps you decide.

Mobbin shows you what others built—screenshots without the WHY. Smart Patterns asks checklist questions for $300 but gives no AI prompts or fix recipes. Heuristic checklists list 10 generic rules with no depth. UXUI Principles combines all three: 168 named principles with academic citations, AI-ready prompts you can paste into Cursor/V0/Claude, and actionable guidance—for $29/yr. It's built for action, not passive reading.

If you already know UX, this isn't "UX 101." It gives you: a way to organize what you already know into a complete map, a language to explain it to devs and PMs, and a set of principles you can use to teach and lead. It's closer to your senior reference manual than a beginner course.

You don't need to read all 168 principles at once. UXUI Principles is designed to: open, search for context (e.g., "forms", "onboarding", "AI transparency"), and use 2-3 key principles for what you're working on TODAY. It's a reference tool, not a course you have to "finish." What matters isn't reading everything—it's having it available when you need it.

We offer a 30-day money-back guarantee, no questions asked. If the principles don't help your workflow, just reach out and we'll refund you. We're confident the framework will be valuable—but we want you to feel confident too.

Each principle includes copy-paste prompts designed for Cursor, V0, Claude, ChatGPT, and any AI tool. They're grounded in cognitive science—so when you paste them, your AI output respects laws like Hick's, Fitts's, and Miller's instead of generating generic layouts. No prompt engineering required—just copy, paste, and get research-backed results.

"When there's no data, the loudest voice wins—not the one who's right." Every principle includes academic citations you can reference in meetings, Slack threads, or PRs. Instead of saying "I think this is better," you say "According to Miller's Law (1956), users can only hold 7±2 items in working memory—here's the study." You stop arguing opinions and start citing evidence.

Still have questions? Reach out on LinkedIn

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