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UX Analysis Suite

CBrowser's UX Analysis Suite provides breakthrough features for understanding and improving user experience at scale. Scoring is grounded in academic research with 13+ citations from Nielsen Norman Group, WCAG, and eye-tracking studies.

Agent-Ready Audit

Analyze any website for AI-agent friendliness. Find out why your site is hard for AI agents to automate.

npx cbrowser agent-ready-audit "https://example.com" --html

Scoring Categories

Category What It Measures
Findability Can agents locate elements? (aria-labels, data-testid, semantic HTML)
Stability Will selectors break? (hidden inputs, sticky overlays, custom dropdowns)
Accessibility ARIA/semantic HTML quality
Semantics Meaningful labels and text content

Output

  • Letter grade (A-F)
  • Prioritized remediation recommendations
  • Code examples for each fix

MCP Tool

agent_ready_audit(url, options)

Competitive UX Benchmark

Run identical cognitive journeys across your site AND competitors. Get head-to-head UX comparison.

npx cbrowser competitive-benchmark \
  --sites "https://yoursite.com,https://competitor.com" \
  --goal "sign up for free trial" \
  --persona "first-timer" \
  --html

Features

  • Parallel site testing — Runs journeys concurrently
  • Abandonment risk scale (1-10) with descriptive labels
  • Comparative rankings with strengths/weaknesses
  • Competitive recommendations — "Competitor A does this better"

Abandonment Risk Scale

Score Label Meaning
1-2 Very Low Smooth experience
3-4 Low Minor friction
5-6 Medium Some users may leave
7-8 High Many users abandon
9-10 Very High Most users will leave

MCP Tool

competitive_benchmark(sites[], goal, persona)

Accessibility Empathy Mode

Simulate how users with disabilities experience your site — not just WCAG compliance checking.

npx cbrowser empathy-audit "https://example.com" \
  --goal "complete signup" \
  --disabilities "motor-tremor,low-vision,adhd" \
  --html

Disability-Focused Personas

Persona Simulates
motor-tremor Essential tremor, Parkinson's — hand jitter, reduced precision
low-vision Macular degeneration, cataracts — needs magnification, high contrast
cognitive-adhd ADHD — reduced attention span, high distraction
dyslexic Dyslexia — slower reading, word jumbling
deaf Deaf/hard of hearing — no audio cues, relies on captions
elderly Age-related decline — slower reactions, larger touch targets
color-blind Deuteranopia (red-green) — relies on non-color cues

Persona Aliases (v10.4.0)

Short aliases for easier CLI usage:

Alias Full Name
motor, tremor motor-impairment-tremor
vision, magnified low-vision-magnified
adhd, attention cognitive-adhd
dyslexia, reading dyslexic-user
hearing deaf-user
senior elderly-low-vision
colorblind, deuteranopia color-blind-deuteranopia 
# These are equivalent:
npx cbrowser empathy-audit "https://example.com" --disabilities "motor-tremor,low-vision"
npx cbrowser empathy-audit "https://example.com" --disabilities "motor,vision"

Barrier Detection

  • Motor precision issues (touch targets < 44x44px)
  • Visual clarity problems (contrast < 4.5:1)
  • Cognitive load overload
  • Timing issues (timeouts, carousels)

WCAG Mapping

Each barrier links to specific WCAG criteria (2.5.5, 1.4.3, etc.)

MCP Tool

empathy_audit(url, goal, disabilities[])

Focus Hierarchies

Task-type-specific attention patterns based on eye-tracking research.

Task Types

Type Attention Pattern Use Case
search Narrow focus, quick scanning Product search
browse Wide exploration, no fixed goal Window shopping
learn Thorough reading, slow pace Documentation
accomplish Goal-focused, minimum steps Checkout
entertain Relaxed, exploratory Content consumption

How It Works

  1. Persona traits determine attention capacity
  2. Task type determines scanning pattern
  3. Elements are filtered based on relevance threshold

Methodology (v10.3.0+)

All scoring is research-grounded with 13+ academic citations. See Research-Methodology for full bibliography.

Research Sources

  • Nielsen Norman Group — Abandonment rates, cognitive load
  • Baymard Institute — E-commerce UX friction studies
  • W3C WCAG 2.2 — Accessibility severity levels (Critical/Serious/Moderate/Minor)
  • Eye-tracking studies — F-pattern, banner blindness, saliency
  • Motor control research — Fitts' Law, tremor simulation

Scoring Philosophy

  • No arbitrary heuristics — every penalty tied to research
  • WCAG severity mapping for accessibility scores
  • Abandonment risk calibrated to industry benchmarks

Related

Copyright: (c) 2026 Alexa Eden.

License: MIT License

Contact: [email protected]

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