User experience and analytics drive continuous improvement of UNA.edu. Data-informed decisions ensure the website effectively serves user needs while supporting institutional goals.
User Experience Principles
Core UX Standards
- User-first design: Prioritize prospective student needs and goals
- Clear pathways: Maximum 3 clicks to critical information
- Consistent navigation: Predictable patterns across all pages
- Mobile optimization: Full functionality on all devices
- Fast performance: Page load under 3 seconds
- Accessible design: WCAG 2.1 AA compliance throughout
Analytics Framework
Key Performance Indicators (KPIs)
- Engagement metrics: Time on page, bounce rate, pages per session
- Conversion tracking: Form completions, RFI submissions, application starts
- User flow analysis: Common paths, drop-off points, navigation patterns
- Search behavior: Top queries, failed searches, refinements
- Device and browser data: Platform usage, screen sizes, technology adoption
Data Collection Standards
- Google Analytics 4 (GA4) implementation on all pages
- Event tracking for key interactions
- Goal configuration for conversion actions
- Privacy-compliant data collection practices
- Regular data quality audits
User Research Methods
Quantitative Research
- Analytics review: Monthly analysis of traffic patterns and user behavior
- A/B testing: Data-driven optimization of key pages
- Heat mapping: Visual analysis of user interactions
- Survey data: Structured feedback collection
Qualitative Research
- User interviews: Direct feedback from target audiences
- Usability testing: Task-based evaluation of site functionality
- Card sorting: Information architecture validation
- Journey mapping: Understanding complete user experiences
Performance Monitoring
Technical Performance
- Page speed: Core Web Vitals monitoring
- Mobile performance: Responsive design effectiveness
- Error tracking: 404s, broken links, JavaScript errors
- Server response: Uptime and response time monitoring
- Search performance: SEO rankings and visibility
Content Performance
- Page views: Traffic volume and trends
- Engagement rate: User interaction with content
- Conversion rate: Goal completion effectiveness
- Search visibility: Organic traffic and keyword rankings
Monthly Reporting: Analytics reports are generated monthly and shared with stakeholders. Key findings inform content strategy, design decisions, and technical improvements.
Optimization Process
- Data collection: Gather analytics, user feedback, and performance metrics
- Analysis: Identify patterns, issues, and opportunities
- Hypothesis formation: Develop improvement theories
- Testing: Implement controlled experiments
- Evaluation: Measure impact and effectiveness
- Implementation: Roll out successful improvements
- Documentation: Record findings and learnings
User Feedback Integration
Feedback Channels
- On-page feedback widgets
- Post-interaction surveys
- Support ticket analysis
- Social media monitoring
- Direct user communications
Response Standards
- Acknowledge feedback within 48 hours
- Track common issues and requests
- Prioritize improvements based on impact
- Communicate changes to users when appropriate
Accessibility Analytics
- Automated scanning: Weekly accessibility audits
- Manual testing: Monthly keyboard and screen reader checks
- User testing: Regular sessions with assistive technology users
- Compliance tracking: WCAG 2.1 AA conformance monitoring
Data Privacy: All analytics collection complies with FERPA, GDPR where applicable, and university privacy policies. User data is never shared with third parties without explicit consent.