Not a black box. Every score has a source.
The score, the research it comes from, the evidence behind it — and the code that fixes the friction.
A few of the 200+ sources behind every score.
The base isn't frozen — new peer-reviewed research is folded into the engine with every release.
10 heuristics, still the usability baseline
Accessibility success criteria · 2023
Interaction principles standard
E-commerce UX, 150k+ hours of testing
1954 law → today's 44px tap-target rule
7±2 memory limit → cognitive-load scoring
+ Gestalt principles · Hick's Law · Doherty Threshold · British Dyslexia Association · Colour Universal Design · and 190+ more
One number. Five dimensions. Tied to conversion.
Your UX Score is a weighted composite of five dimensions, derived from 9 evaluation categories. Each maps to conversion impact — behavioral health captures drop-off, visual quality captures first impressions, accessibility captures the users you never reach. The formula is public, not hidden.
Multi-viewport: desktop carries 60%, mobile 40%. Each scan accumulates product context, so scores get sharper over time.
9 core categories
Every page scan is evaluated across these categories. Each has measurable criteria rooted in 200+ peer-reviewed sources, and each maps to the friction that quietly costs conversions. Every accessibility finding is cross-checked against axe-core.
Visual Hierarchy
Is the most important element the first to catch attention? Are headings differentiated? Is the flow logical?
CTA Visibility
Can you find the primary action in under 2 seconds? Is contrast above WCAG AA 4.5:1? Is sizing right?
Form Design
Are labels present and readable? Are error states designed? Are inputs sized for touch and keyboard?
Spacing & Layout
Is white space consistent? Is a grid present? Are there cramped or scattered areas?
Typography
Are fonts readable at 16px+ body? Is line length 45–75 characters? Does weight create hierarchy?
Color & Contrast
Does text pass WCAG AA? Is the palette consistent? Is color ever the sole information carrier?
Mobile Responsiveness
Are touch targets 44×44px+? Is there horizontal scroll? Is text readable on a phone?
Cognitive Load
Can a first-time user understand what to do? Is navigation clear? Is there decision paralysis?
Accessibility
Alt text, form labels, keyboard nav, ARIA, focus indicators. Every claim axe-core verified.
+5 neurodiversity dimensions
WCAG covers compliance. It doesn't cover whether a neurodivergent user can actually complete a conversion. 15–20% of users think differently, and every one of them is a conversion. No other automated tool measures this.
ADHD Friendliness
Visual clutter, animation control, content chunking, clear next-step CTAs.
Dyslexia Readability
Line length, letter spacing, justified text, ALL-CAPS blocks, contrast below 7:1.
Autism Predictability
Consistent navigation, predictable layouts, clear labeling, minimal unexpected changes.
Sensory Sensitivity
Animation intensity, auto-playing media, contrast extremes, visual overwhelm indicators.
Color Vision Deficiency
Red/green combinations, color as sole info carrier, problematic color pairs.
Your analytics + our snippet. One confidence score.
Visual analysis tells you what looks wrong. Behavioral data tells you what actually costs conversions. Connect your analytics or drop our one-line snippet. The more sources you connect, the sharper the diagnosis.
Verified, not guessed.
Every accessibility finding is cross-checked against axe-core at runtime. Verified findings carry a badge; LLM-only findings stay flagged. You always know which is which.
Verified finding
AI detected an issue AND axe-core confirmed it against WCAG 2.2 rules. 27 rule IDs checked. The standard for compliance claims.
AI-only finding
AI detected a potential issue but no deterministic rule confirmed it. Flagged for human review. Transparent about confidence.
Three layers. One score.
Every scan flows through three analysis layers. Each adds a different kind of evidence. Together they produce findings no single layer could generate alone.
Visual layer
Multi-viewport screenshots analyzed by AI vision across all 9 categories. Deterministic checks (contrast, touch targets, spacing) run alongside AI interpretation. This is what you see.
Behavioral layer
Real user signals from your connected analytics and the Corexi Snippet: bounce rates, rage clicks, scroll depth, form abandonment. The exact moments users give up on converting.
Reasoning engine
Cross-validates visual findings with behavioral data. A contrast issue that correlates with high bounce scores higher than one with no behavioral signal. Ties every finding to conversion impact — and gets sharper with every scan.
Visual-only scans work from day one. Adding behavioral sources lifts confidence from ~40% to 85%+. The engine adapts to what you connect.
Privacy-first. Always.
Minimal, opt-in tracking
The Corexi Snippet is optional and cookieless. Anonymous behavioral signals only — no PII, no session replay, 24h retention. Your users see nothing.
Read-only analytics
We connect to your existing providers via read-only API. We pull aggregated metrics only.
No PII, ever
Bounce rates, session depth, engagement patterns. Never individual identities, emails, or browsing histories.
EU-based, GDPR compliant
All processing on EU infrastructure. Credentials encrypted at rest (AES-256). Disconnect and delete any time.
See what your UX is costing you.
Book a demo and see how the engine finds the friction costing you conversions.