| name | ux-test-suite |
| description | UX testing patterns including task completion testing, error recovery testing, usability scoring, cognitive load heuristics, and flow testing methodology. Use when testing user flows, evaluating usability, or creating UX test plans. |
UX Testing Patterns & Methodology
Task Completion Testing
Defining Tasks from User Flows
Task Definition Framework:
- Primary Tasks: Core user goals (signup, purchase, content creation)
- Secondary Tasks: Supporting actions (profile editing, settings, search)
- Edge Case Tasks: Error recovery, unusual scenarios, boundary conditions
Task Specification Template:
task_id: "T001"
name: "Complete user registration"
type: "primary"
description: "New user creates account and verifies email"
prerequisites:
- "User has valid email address"
- "User is on homepage"
steps:
- "Click 'Sign Up' button"
- "Fill registration form"
- "Submit form"
- "Check email for verification"
- "Click verification link"
success_criteria:
- "User account is created"
- "Email is verified"
- "User is logged in"
- "Welcome flow is triggered"
estimated_time: "3-5 minutes"
critical_path: true
Success Criteria Per Task
Completion Rate Metrics:
- Full Success: Task completed without assistance or errors
- Partial Success: Task completed with minor issues or assistance
- Task Failure: User unable to complete task or abandons attempt
Quality Metrics:
- Time on Task: Actual vs. expected completion time
- Error Rate: Number of mistakes per task attempt
- Efficiency: Steps taken vs. optimal path length
- Satisfaction: User-reported ease and satisfaction scores
Measurement Collection:
const taskMetrics = {
taskId: 'T001',
userId: 'user123',
startTime: Date.now(),
endTime: null,
completionStatus: 'in_progress',
errorCount: 0,
stepsCompleted: [],
optimalSteps: 5,
actualSteps: 0,
assistanceRequired: false,
satisfactionScore: null
};
Measuring Completion Rate
Calculation Formula:
Completion Rate = (Successful Completions / Total Attempts) × 100
Success Rate by Segment = Completions per User Type/Device/Flow Variant
Benchmarks by Task Type:
- Primary Tasks: ≥90% completion rate target
- Secondary Tasks: ≥75% completion rate target
- Complex Tasks: ≥60% completion rate acceptable
Identifying Blocking Issues
Automatic Detection Patterns:
- High Abandonment Points: >30% users exit at specific step
- Extended Time on Step: >3x expected time spent on single step
- Repeated Error Patterns: Same error occurs for >20% of users
- Back/Forward Cycling: Users repeatedly navigate back/forward
Issue Classification:
blocking_issue:
severity: "critical" | "high" | "medium" | "low"
impact: "task_blocking" | "flow_disrupting" | "efficiency_reducing"
frequency: percentage of users affected
location: specific UI element or step
user_segments: affected user types
reproduction_steps: how to trigger the issue
suggested_fix: recommended solution
Error Recovery Testing
Intentional Error Injection
Error Injection Scenarios:
- Network Errors: Simulate connection loss during form submission
- Server Errors: Trigger 500, 503, timeout responses
- Validation Errors: Submit forms with invalid data
- Authentication Errors: Test expired sessions, invalid tokens
- Permission Errors: Access restricted content without authorization
- Data Errors: Corrupt or missing expected data
Error Injection Framework:
class ErrorInjector {
static injectNetworkError(probability = 0.1) {
if (Math.random() < probability) {
throw new NetworkError('Connection failed');
}
}
static injectValidationError(fieldName, errorType) {
return {
field: fieldName,
error: errorType,
message: this.getErrorMessage(fieldName, errorType)
};
}
static injectServerError(statusCode = 500) {
throw new ServerError(`Server error ${statusCode}`);
}
}
Recovery Path Validation
Recovery Path Testing:
- Error Detection: System recognizes error occurred
- Error Communication: User is informed of error clearly
- Recovery Options: User has clear path to resolve issue
- State Preservation: User progress is maintained where possible
- Retry Mechanisms: User can retry failed actions
Recovery Path Checklist:
Error Message Quality Assessment
Error Message Evaluation Criteria:
error_message_quality:
clarity:
score: 1-5
criteria: "Message clearly explains what happened"
actionability:
score: 1-5
criteria: "Provides specific steps to resolve issue"
tone:
score: 1-5
criteria: "Appropriate, helpful tone (not blaming user)"
timing:
score: 1-5
criteria: "Appears at right time and place"
visibility:
score: 1-5
criteria: "Sufficiently prominent to be noticed"
Good Error Message Examples:
<div class="error-message" role="alert">
<h4>We couldn't create your account</h4>
<p>The email address you entered is already registered.</p>
<p><strong>What you can do:</strong></p>
<ul>
<li><a href="/login">Log in to your existing account</a></li>
<li><a href="/reset-password">Reset your password</a></li>
<li>Try a different email address</li>
</ul>
</div>
<div class="error">Error 400: Bad Request</div>
Dead-End Detection
Dead-End Indicators:
- No navigation options available
- No way to return to previous state
- No clear next steps provided
- User cannot complete intended task
- No escape route from error state
Dead-End Prevention:
class DeadEndDetector {
static checkForDeadEnd(currentPage) {
const hasNavigation = this.hasNavigationOptions(currentPage);
const hasActions = this.hasAvailableActions(currentPage);
const hasEscape = this.hasEscapeRoute(currentPage);
return {
isDeadEnd: !hasNavigation && !hasActions && !hasEscape,
severity: this.calculateSeverity(hasNavigation, hasActions, hasEscape),
recommendations: this.getRecommendations(currentPage)
};
}
}
Flow Testing Methodology
Step-by-Step Flow Validation
Flow Testing Framework:
- Flow Mapping: Document each step and decision point
- State Validation: Verify correct state at each step
- Transition Testing: Test all possible step transitions
- Data Persistence: Ensure data carries through flow correctly
- Exit Point Testing: Validate behavior when flow is abandoned
Flow Step Specification:
flow_step:
step_id: "checkout_001"
step_name: "Review Cart"
preconditions:
- "User has items in cart"
- "User is logged in"
actions_available:
- "Edit quantities"
- "Remove items"
- "Add promo code"
- "Proceed to shipping"
success_criteria:
- "Cart totals are accurate"
- "All items display correctly"
- "Promo codes apply properly"
failure_conditions:
- "Cart is empty"
- "Prices are incorrect"
- "Items are out of stock"
next_steps:
- "shipping_info" (primary)
- "continue_shopping" (secondary)
Branch Coverage Testing
Flow Branch Types:
- Happy Path: Ideal user journey without errors
- Alternative Paths: Different but valid routes to completion
- Error Paths: Recovery routes when errors occur
- Edge Case Paths: Unusual but possible scenarios
Branch Coverage Checklist:
Branch Testing Matrix:
checkout_flow_branches:
guest_checkout:
path: "cart → shipping → payment → confirmation"
coverage: "required"
registered_user_checkout:
path: "cart → (saved_addresses) → payment → confirmation"
coverage: "required"
new_user_checkout:
path: "cart → register → shipping → payment → confirmation"
coverage: "required"
error_recovery:
path: "payment_failed → retry_payment → confirmation"
coverage: "required"
cart_modification:
path: "cart → edit_items → recalculate → continue"
coverage: "optional_but_recommended"
Entry/Exit Point Testing
Entry Point Validation:
- Users can enter flow from multiple legitimate sources
- Flow state initializes correctly regardless of entry point
- Required data is available or collected appropriately
- User permissions are verified at entry
Exit Point Validation:
- Users can exit flow gracefully at any step
- Progress is saved appropriately when flow is abandoned
- Users can re-enter flow and resume from correct point
- Exit points don't leave system in inconsistent state
Entry/Exit Testing:
const entryPoints = [
{ source: 'homepage_cta', expectedState: 'flow_start' },
{ source: 'product_page', expectedState: 'product_selected' },
{ source: 'email_link', expectedState: 'authenticated_start' },
{ source: 'deep_link', expectedState: 'step_specific' }
];
const exitPoints = [
{ step: 'any', action: 'browser_back', expectation: 'safe_exit' },
{ step: 'any', action: 'close_tab', expectation: 'progress_saved' },
{ step: 'payment', action: 'abandon', expectation: 'cart_preserved' },
{ step: 'final', action: 'complete', expectation: 'success_state' }
];
Cross-Flow Navigation
Cross-Flow Scenarios:
- User switches between different task flows
- User accesses secondary features during primary flow
- User navigates to help/support during flow
- User receives external interruption (notification, call, etc.)
Navigation Testing:
- Flow state is preserved when user navigates away
- User can return to previous flow step appropriately
- Context switching doesn't create confusion
- Multiple flows can run simultaneously if needed
Usability Scoring Rubrics
System Usability Scale (SUS) for Automated Evaluation
Standard SUS Questions Adapted for Automated Testing:
- Frequency of Use: How often do users complete key tasks successfully?
- Complexity Assessment: How many steps/errors occur in standard workflows?
- Ease of Use: What percentage of users complete tasks without assistance?
- Technical Support: How often do users need help documentation or support?
- Function Integration: Do features work well together without conflicts?
- Consistency: Are interaction patterns consistent across the interface?
- Learning Curve: How quickly do new users achieve task completion?
- Confidence: Do users complete tasks without hesitation or retry?
- Learning Requirement: How much training/documentation is needed?
- System Preparedness: Is the system ready for users before they attempt tasks?
Automated SUS Scoring:
class AutomatedSUSCalculator {
static calculateSUS(metrics) {
const scores = {
q1: this.mapCompletionRateToSUS(metrics.completionRate),
q2: this.mapComplexityToSUS(metrics.avgSteps, metrics.optimalSteps),
q3: this.mapAssistanceRateToSUS(metrics.assistanceRate),
q4: this.mapSupportRequestRateToSUS(metrics.supportRate),
q5: this.mapIntegrationScoreToSUS(metrics.integrationScore),
q6: this.mapConsistencyScoreToSUS(metrics.consistencyScore),
q7: this.mapLearningCurveToSUS(metrics.newUserSuccessRate),
q8: this.mapConfidenceToSUS(metrics.retryRate),
q9: this.mapDocumentationUsageToSUS(metrics.docUsageRate),
q10: this.mapReadinessToSUS(metrics.errorRate)
};
const susScore = Object.values(scores).reduce((sum, score) => sum + score, 0) * 2.5;
return Math.round(susScore);
}
}
SUS Score Interpretation:
- ≥80: Excellent usability
- 70-79: Good usability
- 60-69: Acceptable usability
- 50-59: Below average usability
- <50: Poor usability requiring immediate attention
UMUX-LITE (2-Question Variant)
UMUX-LITE Questions:
- "This system's capabilities meet my requirements"
- "This system is easy to use"
Automated UMUX-LITE Scoring:
class UMUXLiteCalculator {
static calculateUMUXLite(metrics) {
const q1Score = this.mapFeatureCompletionRate(metrics.featureUsageSuccess);
const q2Score = this.mapOverallEaseOfUse(metrics.avgTaskTime, metrics.errorRate);
const umuxScore = ((q1Score + q2Score - 2) / 5) * 100;
return Math.round(umuxScore);
}
}
Inferring Scores from Automated Test Results
Metric Mapping Framework:
usability_metrics_mapping:
task_completion_rate:
high: ">90% maps to SUS Q3 score 5"
medium: "70-90% maps to SUS Q3 score 3-4"
low: "<70% maps to SUS Q3 score 1-2"
error_rate:
low: "<5% errors maps to SUS Q2 score 5"
medium: "5-15% errors maps to SUS Q2 score 3-4"
high: ">15% errors maps to SUS Q2 score 1-2"
time_efficiency:
high: "≤110% of optimal time maps to ease score 5"
medium: "110-150% of optimal time maps to ease score 3-4"
low: ">150% of optimal time maps to ease score 1-2"
Cognitive Load Heuristics
Information Density Measurement
Elements Per Viewport Calculation:
class CognitiveLoadAnalyzer {
static measureInformationDensity(viewport) {
const interactiveElements = viewport.querySelectorAll('button, a, input, select, textarea');
const informationElements = viewport.querySelectorAll('h1, h2, h3, p, li, td');
const visualElements = viewport.querySelectorAll('img, svg, canvas, video');
const totalElements = interactiveElements.length + informationElements.length + visualElements.length;
const viewportArea = viewport.clientWidth * viewport.clientHeight;
return {
totalElements,
elementsPerViewport: totalElements,
elementDensityRatio: totalElements / (viewportArea / 10000),
interactiveElementCount: interactiveElements.length,
informationElementCount: informationElements.length,
visualElementCount: visualElements.length
};
}
}
Density Thresholds:
- Mobile: <15 interactive elements per viewport
- Tablet: <25 interactive elements per viewport
- Desktop: <35 interactive elements per viewport
Choice Overload Detection
Choice Overload Rules:
- 7±2 Rule: More than 9 options without grouping creates overload
- Category Limits: More than 5-7 items per category becomes overwhelming
- Decision Points: Multiple choice points in sequence increase cognitive burden
Choice Analysis:
class ChoiceOverloadDetector {
static analyzeChoices(container) {
const choiceElements = container.querySelectorAll('[role="radio"], [role="checkbox"], option, .choice-item');
const choiceCount = choiceElements.length;
const groups = container.querySelectorAll('[role="group"], .choice-group, fieldset');
const hasGrouping = groups.length > 0;
const complexity = this.calculateChoiceComplexity(choiceElements);
return {
choiceCount,
hasOverload: choiceCount > 7 && !hasGrouping,
overloadSeverity: this.calculateOverloadSeverity(choiceCount, hasGrouping),
groupingPresent: hasGrouping,
recommendations: this.getChoiceRecommendations(choiceCount, hasGrouping)
};
}
}
Working Memory Assessment
Working Memory Load Factors:
- Information Retention: How much info must user remember between steps
- Context Switching: How often user must switch between different contexts
- Concurrent Tasks: Multiple tasks user must manage simultaneously
- Temporal Distance: Time between related actions
Memory Load Calculation:
class WorkingMemoryAnalyzer {
static assessMemoryLoad(userFlow) {
const memoryRequirements = {
informationRetention: this.calculateRetentionLoad(userFlow),
contextSwitching: this.calculateSwitchingLoad(userFlow),
concurrentTasks: this.calculateConcurrencyLoad(userFlow),
temporalDistance: this.calculateTemporalLoad(userFlow)
};
const totalLoad = Object.values(memoryRequirements).reduce((sum, load) => sum + load, 0);
return {
...memoryRequirements,
totalLoad,
severity: this.assessLoadSeverity(totalLoad),
recommendations: this.getMemoryRecommendations(memoryRequirements)
};
}
}
Recognition vs Recall Scoring
Recognition vs Recall Evaluation:
- Recognition: User can identify correct option from visible choices
- Recall: User must remember information not currently visible
- Scoring: Higher recognition scores indicate better usability
Recognition/Recall Analysis:
class RecognitionRecallAnalyzer {
static analyzeInterface(interface) {
const recognitionElements = interface.querySelectorAll('[role="menu"], [role="tab"], .button-group, .nav-links');
const recallRequiredElements = interface.querySelectorAll('input[type="text"], textarea, [data-requires-recall]');
const recognitionScore = this.calculateRecognitionSupport(recognitionElements);
const recallBurden = this.calculateRecallBurden(recallRequiredElements);
return {
recognitionScore,
recallBurden,
overallScore: (recognitionScore - recallBurden + 100) / 2,
recommendations: this.getRecognitionRecommendations(recognitionScore, recallBurden)
};
}
}
Accessibility Testing Patterns
axe-core Integration Patterns
Automated Accessibility Testing Setup:
import { AxePuppeteer } from '@axe-core/puppeteer';
class AccessibilityTester {
static async runAxeTests(page, context = {}) {
const axeBuilder = new AxePuppeteer(page);
const results = await axeBuilder
.withTags(['wcag2a', 'wcag2aa', 'wcag21aa'])
.analyze();
return {
violations: results.violations,
passes: results.passes,
incomplete: results.incomplete,
inapplicable: results.inapplicable,
score: this.calculateAccessibilityScore(results),
summary: this.generateAccessibilitySummary(results)
};
}
static calculateAccessibilityScore(axeResults) {
const { violations, passes } = axeResults;
const totalTests = violations.length + passes.length;
const passedTests = passes.length;
return totalTests > 0 ? (passedTests / totalTests) * 100 : 100;
}
}
WCAG 2.1 AA Automated Checks
Automated WCAG Compliance Testing:
wcag_automated_checks:
perceivable:
1.1.1_non_text_content:
test: "Images have alt attributes"
automation: "axe-core rule: image-alt"
1.4.3_contrast_minimum:
test: "Color contrast ratio 4.5:1 normal text, 3:1 large text"
automation: "axe-core rule: color-contrast"
1.4.11_non_text_contrast:
test: "UI components contrast 3:1"
automation: "axe-core rule: color-contrast-enhanced"
operable:
2.1.1_keyboard:
test: "All functionality available via keyboard"
automation: "Custom script: keyboard navigation test"
2.4.3_focus_order:
test: "Focus order is logical"
automation: "axe-core rule: focus-order-semantics"
2.5.5_target_size:
test: "Touch targets at least 44x44px"
automation: "Custom script: touch target size check"
understandable:
3.1.1_language_of_page:
test: "Page language identified"
automation: "axe-core rule: html-has-lang"
3.2.1_on_focus:
test: "Focus doesn't trigger context changes"
automation: "Custom script: focus change detection"
robust:
4.1.1_parsing:
test: "HTML is valid"
automation: "axe-core rule: valid-html"
4.1.2_name_role_value:
test: "Elements have accessible names and roles"
automation: "axe-core rule: aria-roles, button-name, etc."
Manual Check Items (Cannot be Automated)
Manual Accessibility Testing Checklist:
Common Violations Ranked by Frequency
Top 10 Most Common Accessibility Violations:
- Missing Alt Text (28% of sites): Images without descriptive alt attributes
- Low Color Contrast (23% of sites): Text doesn't meet 4.5:1 contrast ratio
- Missing Form Labels (19% of sites): Form inputs without associated labels
- Empty Links (15% of sites): Links without descriptive text
- Missing Page Titles (12% of sites): Pages without descriptive titles
- Improper Heading Structure (11% of sites): Skipped heading levels or missing H1
- Missing Language Declaration (10% of sites): HTML lang attribute missing
- Insufficient Touch Target Size (8% of sites): Buttons/links smaller than 44px
- Missing Skip Links (7% of sites): No way to skip navigation
- Improper ARIA Usage (6% of sites): Incorrect or conflicting ARIA attributes
Performance Testing Patterns
Lighthouse Categories Integration
Automated Lighthouse Testing:
import lighthouse from 'lighthouse';
import chromeLauncher from 'chrome-launcher';
class PerformanceTester {
static async runLighthouseAudit(url, options = {}) {
const chrome = await chromeLauncher.launch({chromeFlags: ['--headless']});
const lighthouseOptions = {
logLevel: 'info',
output: 'json',
onlyCategories: ['performance', 'accessibility', 'best-practices', 'seo'],
port: chrome.port,
...options
};
const runnerResult = await lighthouse(url, lighthouseOptions);
await chrome.kill();
const { lhr } = runnerResult;
return {
performance: lhr.categories.performance.score * 100,
accessibility: lhr.categories.accessibility.score * 100,
bestPractices: lhr.categories['best-practices'].score * 100,
seo: lhr.categories.seo.score * 100,
metrics: {
firstContentfulPaint: lhr.audits['first-contentful-paint'].numericValue,
largestContentfulPaint: lhr.audits['largest-contentful-paint'].numericValue,
cumulativeLayoutShift: lhr.audits['cumulative-layout-shift'].numericValue,
totalBlockingTime: lhr.audits['total-blocking-time'].numericValue
},
opportunities: lhr.audits,
score: this.calculateOverallScore(lhr.categories)
};
}
}
Core Web Vitals (LCP, FID/INP, CLS)
Core Web Vitals Measurement:
class CoreWebVitalsAnalyzer {
static measureCoreWebVitals() {
const vitals = {
lcp: null,
fid: null,
inp: null,
cls: null
};
new PerformanceObserver((list) => {
const entries = list.getEntries();
const lastEntry = entries[entries.length - 1];
vitals.lcp = lastEntry.startTime;
}).observe({ entryTypes: ['largest-contentful-paint'] });
new PerformanceObserver((list) => {
const entries = list.getEntries();
entries.forEach((entry) => {
if (entry.processingStart && entry.startTime) {
vitals.fid = entry.processingStart - entry.startTime;
}
});
}).observe({ entryTypes: ['first-input'] });
new PerformanceObserver((list) => {
let clsValue = 0;
list.getEntries().forEach((entry) => {
if (!entry.hadRecentInput) {
clsValue += entry.value;
}
});
vitals.cls = clsValue;
}).observe({ entryTypes: ['layout-shift'] });
return vitals;
}
static assessVitalsPerformance(vitals) {
return {
lcp: {
value: vitals.lcp,
rating: vitals.lcp <= 2500 ? 'good' : vitals.lcp <= 4000 ? 'needs-improvement' : 'poor'
},
fid: {
value: vitals.fid,
rating: vitals.fid <= 100 ? 'good' : vitals.fid <= 300 ? 'needs-improvement' : 'poor'
},
cls: {
value: vitals.cls,
rating: vitals.cls <= 0.1 ? 'good' : vitals.cls <= 0.25 ? 'needs-improvement' : 'poor'
}
};
}
}
Core Web Vitals Thresholds:
-
LCP (Largest Contentful Paint):
- Good: ≤2.5 seconds
- Needs Improvement: 2.5-4.0 seconds
- Poor: >4.0 seconds
-
FID (First Input Delay) / INP (Interaction to Next Paint):
- Good: ≤100ms (FID) / ≤200ms (INP)
- Needs Improvement: 100-300ms (FID) / 200-500ms (INP)
- Poor: >300ms (FID) / >500ms (INP)
-
CLS (Cumulative Layout Shift):
- Good: ≤0.1
- Needs Improvement: 0.1-0.25
- Poor: >0.25
Asset Budget Guidelines
Performance Budget Framework:
asset_budgets:
total_page_size:
mobile: "1.5MB max"
desktop: "3MB max"
javascript_bundle:
critical: "150KB max (gzipped)"
total: "500KB max (gzipped)"
css_bundle:
critical: "50KB max (gzipped)"
total: "150KB max (gzipped)"
images:
hero_image: "200KB max"
content_images: "100KB max each"
total_images: "1MB max per page"
fonts:
web_fonts: "300KB max total"
font_families: "3 max per page"
third_party:
analytics: "50KB max"
tracking: "100KB max total"
widgets: "200KB max total"
loading_time_budgets:
first_contentful_paint: "1.5s max"
largest_contentful_paint: "2.5s max"
time_to_interactive: "3.5s max"
first_input_delay: "100ms max"
Test Report Format
Comprehensive Test Report Template
ux_test_report:
metadata:
project_name: "Project Name"
test_date: "2025-01-15"
test_version: "v1.2.0"
tester: "UX Test Suite"
environment: "staging" | "production"
devices_tested: ["mobile", "tablet", "desktop"]
browsers_tested: ["chrome", "firefox", "safari", "edge"]
executive_summary:
overall_score: "85/100"
critical_issues: 3
standard_issues: 12
passed_tests: 47
failed_tests: 8
recommendation: "Approved with conditions"
task_completion_analysis:
primary_tasks:
- task_id: "T001"
name: "User Registration"
completion_rate: "92%"
avg_time: "4.2 minutes"
error_rate: "8%"
satisfaction: "4.1/5"
status: "passed"
secondary_tasks:
- task_id: "T002"
name: "Profile Update"
completion_rate: "76%"
avg_time: "6.8 minutes"
error_rate: "15%"
satisfaction: "3.4/5"
status: "needs_improvement"
usability_scores:
sus_score: "78/100"
umux_lite_score: "72/100"
cognitive_load_score: "83/100"
accessibility_score: "89/100"
performance_metrics:
lighthouse_scores:
performance: 85
accessibility: 94
best_practices: 91
seo: 88
core_web_vitals:
lcp: "2.1s (good)"
fid: "95ms (good)"
cls: "0.08 (good)"
detailed_findings:
critical_issues:
- finding_id: "UX-001"
category: "Task Completion"
description: "Registration flow blocks 8% of users at email verification step"
impact: "High - prevents account creation"
recommendation: "Add resend verification email button with clear instructions"
accessibility_issues:
- finding_id: "A11Y-003"
category: "Keyboard Navigation"
description: "Modal dialogs trap focus incorrectly"
impact: "Critical for keyboard users"
recommendation: "Implement proper focus management in modal components"
flow_analysis:
checkout_flow:
completion_rate: "87%"
abandonment_points:
- step: "payment_info"
abandonment_rate: "23%"
reason: "Form validation errors unclear"
recovery_rate: "65%"
recommendations:
immediate_fixes:
- "Fix modal focus trapping (A11Y-003)"
- "Add email verification resend button (UX-001)"
- "Improve payment form validation messages"
future_improvements:
- "Optimize images for better LCP score"
- "Implement progressive enhancement for form validation"
- "Add micro-animations for better perceived performance"
test_coverage:
total_test_cases: 124
executed_tests: 118
passed_tests: 95
failed_tests: 23
coverage_percentage: "95%"
Summary Dashboard Data
Test Result Dashboard Metrics:
const dashboardData = {
overallHealthScore: 85,
categoryScores: {
taskCompletion: 89,
usability: 78,
accessibility: 94,
performance: 85,
errorRecovery: 72
},
trendData: {
previousScore: 79,
improvement: +6,
trendDirection: 'improving'
},
criticalAlerts: [
'Modal focus trapping fails accessibility standards',
'Payment form causes 23% checkout abandonment',
'Mobile performance below threshold on 3G networks'
],
quickWins: [
'Add loading spinners to async operations',
'Improve error message clarity',
'Optimize largest contentful paint image'
]
};