@cloudkinetix/bmad-enhanced

# Constraints ## Technical Constraints ### Infrastructure & Performance - **Cloud Platform**: Must use AWS for hosting and infrastructure services - **Response Time**: API responses must be <200ms for 95% of requests - **Concurrent Users**: System must support 100,000 concurrent users - **Uptime**: Must maintain 99.95% uptime SLA - **Data Residency**: Must comply with regional data residency requirements (EU, US) ### Technology Stack Limitations - **Frontend**: React-based single-page application architecture - **Backend**: Microservices architecture with RESTful APIs - **Database**: PostgreSQL for primary data, Redis for caching, MongoDB for analytics - **AI/ML**: TensorFlow/PyTorch for machine learning models - **Integration**: Must support OAuth 2.0 and webhook-based integrations ### Security & Compliance - **Data Encryption**: End-to-end encryption for all sensitive data - **Authentication**: Multi-factor authentication required for enterprise accounts - **Compliance**: Must achieve SOC 2 Type II certification within 12 months - **Privacy**: GDPR and CCPA compliance required from launch - **Access Control**: Role-based access control (RBAC) implementation mandatory ## Business Constraints ### Budget Limitations - **Development Budget**: $2M allocated for initial development (12 months) - **Infrastructure Costs**: Must maintain <15% of revenue for hosting and third-party services - **Team Size**: Maximum 25 team members for MVP development - **Marketing Budget**: $500K allocated for launch and initial customer acquisition ### Timeline Constraints - **MVP Launch**: Must launch within 12 months of development start - **Beta Release**: Beta version required within 8 months - **Feature Milestones**: Major features must be delivered in 3-month sprints - **Compliance Deadlines**: SOC 2 certification must be achieved before enterprise sales ### Market Constraints - **Target Market**: Focus on mid-market companies (100-1000 employees) initially - **Geographic Scope**: Launch in North America and EU markets first - **Language Support**: English required for MVP, Spanish and French for Year 1 - **Pricing Model**: SaaS subscription model with tiered pricing structure ## Regulatory & Legal Constraints ### Data Protection - **GDPR Compliance**: Full compliance with EU General Data Protection Regulation - **CCPA Compliance**: California Consumer Privacy Act compliance for US users - **Data Retention**: Configurable data retention policies per customer requirements - **Right to Deletion**: Ability to permanently delete user data upon request ### Industry Regulations - **SOX Compliance**: Support for Sarbanes-Oxley compliance for public company customers - **HIPAA Considerations**: Basic HIPAA compliance for healthcare industry customers - **Financial Services**: Compliance considerations for financial industry customers - **Export Controls**: Compliance with US export control regulations ### Intellectual Property - **Third-Party Licenses**: All third-party components must have compatible licenses - **Open Source**: Any open source components must comply with license requirements - **Patent Considerations**: Avoid known patent infringement issues - **Trademark**: Ensure product name and branding don't infringe existing trademarks ## Operational Constraints ### Support & Maintenance - **Support Hours**: 24/7 support required for enterprise customers - **Response Times**: <2 hours for critical issues, <24 hours for standard issues - **Maintenance Windows**: Scheduled maintenance must be <2 hours monthly - **Backup & Recovery**: <15 minutes RPO, <5 minutes RTO for critical systems ### Scalability Constraints - **Horizontal Scaling**: Architecture must support horizontal scaling - **Database Scaling**: Database architecture must support read replicas and sharding - **CDN Requirements**: Global content delivery network for optimal performance - **Auto-scaling**: Automatic scaling based on demand patterns ### Integration Constraints - **API Rate Limits**: Must respect third-party API rate limits and quotas - **OAuth Limitations**: Must work within OAuth 2.0 framework limitations - **Webhook Reliability**: Must handle webhook failures and implement retry logic - **Data Sync**: Real-time data synchronization with <5 minute latency ## User Experience Constraints ### Accessibility Requirements - **WCAG 2.1 AA**: Full compliance with Web Content Accessibility Guidelines - **Keyboard Navigation**: Complete keyboard navigation support - **Screen Readers**: Full screen reader compatibility - **Color Contrast**: Minimum 4.5:1 contrast ratio for normal text ### Device & Browser Support - **Browser Support**: Chrome, Firefox, Safari, Edge (latest 2 versions) - **Mobile Support**: Responsive design for tablets and smartphones - **Progressive Web App**: PWA capabilities for offline functionality - **Performance**: Page load times <2 seconds on standard broadband ### Usability Constraints - **Learning Curve**: New users must achieve basic proficiency within 30 minutes - **Training Requirements**: Minimal training required for standard features - **Help System**: Comprehensive in-app help and documentation - **Onboarding**: Self-service onboarding process for small to medium teams ## AI/ML Specific Constraints ### Model Performance - **Accuracy Requirements**: AI predictions must achieve >85% accuracy - **Response Time**: AI model inference must complete within 500ms - **Training Data**: Must use only customer-consented data for model training - **Model Bias**: Regular bias testing and mitigation required ### Data Requirements - **Training Data Volume**: Minimum data thresholds for reliable AI predictions - **Data Quality**: Data validation and cleaning processes required - **Privacy**: AI models must not expose individual user data - **Explainability**: AI decisions must be explainable to end users ### Ethical AI Constraints - **Fairness**: AI systems must not discriminate based on protected characteristics - **Transparency**: Users must understand when AI is making decisions - **Human Override**: Users must be able to override AI recommendations - **Continuous Monitoring**: Regular monitoring for AI bias and drift