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BMAD-METHOD/high-level-product-plan.md

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High Level Product Planning Considerations

1. Product Architecture & Type

Application Type

  • SaaS Platform: Multi-tenant cloud-based service
  • Web Application: Browser-based interface
  • Desktop Application: Native OS application
  • Mobile Application: iOS/Android native or hybrid
  • Script/CLI Tool: Command-line utilities
  • API/Service: Backend service or microservice
  • Embedded System: IoT or hardware-integrated software

Client Architecture

  • Thick Client: Rich desktop application with local processing
  • Thin Client: Browser-based or minimal client with server processing
  • Progressive Web App: Web app with native-like capabilities
  • Hybrid Mobile: Cross-platform mobile framework (React Native, Flutter)

Multi-Platform Considerations

  • Target Platforms: Windows, macOS, Linux, iOS, Android
  • Cross-Platform Strategy: Native per platform vs unified framework
  • Platform-Specific Features: OS integration, notifications, file systems

2. Technology Stack

Programming Languages

  • Primary Language: Main development language
  • Secondary Languages: Supporting languages for specific components
  • Language Ecosystem: Package managers, community, long-term support

Frameworks & Libraries

  • Frontend Framework: React, Vue, Angular, Svelte
  • Backend Framework: Express, Django, Spring, FastAPI
  • Database: PostgreSQL, MySQL, MongoDB, Redis
  • Key Dependencies: Third-party libraries and their stability

Development Tools

  • Build Tools: Webpack, Vite, Parcel
  • Testing Framework: Jest, Cypress, PyTest
  • Code Quality: ESLint, Prettier, SonarQube
  • Documentation: JSDoc, Sphinx, GitBook

3. Infrastructure & Deployment

Hosting Strategy

  • Cloud Provider: AWS, Google Cloud, Azure, Vercel, Netlify
  • On-Premises: Self-hosted infrastructure
  • Hybrid: Mixed cloud and on-premises approach
  • Multi-Cloud: Vendor diversification strategy

Deployment Architecture

  • Containerization: Docker, Kubernetes, container orchestration
  • CI/CD Pipeline: GitHub Actions, GitLab CI, Jenkins
  • Infrastructure as Code: Terraform, CloudFormation, Pulumi
  • Monitoring & Observability: Logging, metrics, tracing, alerting

Environment Management

  • Development Environment: Local development setup
  • Staging Environment: Pre-production testing
  • Production Environment: Live system configuration
  • Environment Parity: Consistency across environments

4. Data & Security

Data Architecture

  • Database Strategy: Relational vs NoSQL, data modeling
  • Data Migration: Schema changes, data transformation
  • Backup Strategy: Automated backups, disaster recovery
  • Data Privacy: GDPR, CCPA, data protection compliance

Security Considerations

  • Authentication: User login, SSO, multi-factor authentication
  • Authorization: Role-based access control, permissions
  • Data Encryption: At rest and in transit
  • Security Auditing: Penetration testing, vulnerability scanning
  • Infrastructure Security: Network security, server hardening

5. User Experience & Access

User Types & Permissions

  • End Users: Primary application users
  • Administrators: System configuration and management
  • API Users: Developers using APIs
  • Support Users: Customer service and technical support

Access Patterns

  • Single User: Personal productivity tools
  • Multi-User: Team collaboration features
  • Multi-Tenant: Isolated customer environments
  • Public Access: Open registration vs invitation-only

Accessibility & Compliance

  • WCAG Compliance: Web accessibility standards
  • Mobile Accessibility: Screen readers, voice control
  • Internationalization: Multi-language support, localization
  • Regulatory Compliance: Industry-specific requirements

6. Scalability & Performance

Performance Requirements

  • Response Time: Acceptable latency for user actions
  • Throughput: Concurrent users, requests per second
  • Availability: Uptime requirements, downtime tolerance
  • Scalability: Horizontal vs vertical scaling strategy

Resource Management

  • Server Resources: CPU, memory, storage requirements
  • Database Performance: Query optimization, indexing strategy
  • Content Delivery: CDN, static asset optimization
  • Caching Strategy: Application, database, and browser caching

7. Business & Operational Considerations

Support & Maintenance

  • Support Model: Self-service, tiered support, dedicated support
  • Service Level Agreements: Response times, resolution commitments
  • Training Requirements: User onboarding, ongoing education
  • Maintenance Windows: Update schedules, downtime planning

Business Model Integration

  • Pricing Strategy: Subscription, usage-based, one-time purchase
  • Feature Tiers: Free, basic, premium feature sets
  • Analytics & Reporting: Usage tracking, business intelligence
  • Integration Requirements: Third-party services, API partnerships

Risk Management

  • Liability Planning: Error handling, data loss protection
  • Business Continuity: Backup plans, disaster recovery
  • Vendor Dependencies: Third-party service reliability
  • Technical Debt: Code quality, refactoring strategy

8. Development Process

Code Management

  • Version Control: Git workflow, branching strategy
  • Code Review: Pull request process, quality gates
  • Documentation: API docs, technical specifications
  • Testing Strategy: Unit, integration, end-to-end testing

Project Management

  • Development Methodology: Agile, Scrum, Kanban
  • Release Planning: Feature releases, hotfix procedures
  • Quality Assurance: Testing processes, bug tracking
  • Performance Monitoring: Application metrics, user analytics