Research-Backed Technical Insights
Evidence-based research validating technical recommendations with peer-reviewed studies, controlled experiments, and enterprise data.
Status: Research Hub
Research Studies: 14
Research Categories: 6
Source Transparency: 100%
Research Categories
Explore evidence-based research across six key technical domains.
AI Development
Evidence-based research on AI coding tools, productivity gains, code quality, and developer trust.
Topics include:
- AI coding tool effectiveness and productivity measurements
- Code quality impacts of AI-assisted development
- Developer trust and adoption patterns
- Cost-benefit analysis of generative AI implementation
E-commerce
Quantified research on cart abandonment, checkout optimisation, and mobile commerce performance.
Topics include:
- Cart abandonment rate analysis and prevention strategies
- Mobile commerce trends and revenue distribution
- Checkout optimisation impact on conversion
- Payment gateway performance and user experience
- Cross-device shopping behaviour and patterns
Performance
Data-driven analysis of latency impact, Core Web Vitals, and load time effects on revenue.
Topics include:
- Largest Contentful Paint (LCP) impact on conversion rates
- Core Web Vitals thresholds and user experience
- Load time correlation with abandonment and revenue
- Page speed optimisation effectiveness
- Real-world performance metrics and benchmarks
Technical Debt
Financial impact analysis of technical debt economics, budget implications, and ROI metrics.
Topics include:
- Cost of technical debt accumulation
- Modernisation ROI and payback periods
- Development velocity impact from debt
- Risk quantification and mitigation strategies
- Budget allocation for debt reduction
Infrastructure
Research on uptime SLA impact, downtime costs, and cloud adoption benefits with real metrics.
Topics include:
- Cloud infrastructure cost optimisation opportunities
- Security improvements from proactive measures
- High availability architecture benefits
- Disaster recovery ROI
- Infrastructure automation efficiency gains
Code Quality
Evidence-based research on code review effectiveness, defect rates, and quality metrics impact.
Topics include:
- Code review effectiveness and defect prevention
- Test coverage correlation with production quality
- Technical standards impact on long-term maintenance
- Team productivity effects of quality practices
- Security vulnerability patterns and prevention
