Step 6: Outline MVP Requirements

This sixth step builds upon our understanding of core value proposition, market landscape, technology choices, whole-person personas, and meaningful features to create MVP requirements that form the foundation for neuroplastic development across the next 94 steps in this 100-step roadmap. As we continue through the first Phase of our seven Phases, we recognize that our initial product scope must be designed not just for user value but as a catalyst for polymathic growth.

Plans necessarily must be changed and if not, fixed plans means our development work has taught us nothing.

This approach to MVP requirements transcends conventional feature prioritization to become a comprehensive neuroplastic development catalyst—not merely defining what to build first but creating the initial conditions for high-agency learning and cross-domain skill acquisition. By consciously designing our MVP to support both immediate value delivery and accelerated cognitive development, we establish the foundation for transforming both users and developers from spectators to creators.

Phase 1: Conceptualization and Planning.

Subject to Replanning After Phase 1

MVP as Neuroplastic Development Catalyst

Our Minimum Viable Product must serve dual purposes: delivering immediate value to users while establishing the foundation for accelerated skill development across our team. Each requirement represents an opportunity for cognitive expansion—forming the neural pathways that will enable polymathic capability development throughout our journey.

Core Collaboration Capabilities as Learning Accelerators

The essential collaboration functions that form our MVP must be designed to rapidly build foundational mental models and cross-domain understanding.

DVCS Integration Foundation

Git Repository Connection: Implementing seamless integration with existing version control systems
- Learning Vector: Building mental models of distributed data structures and state synchronization
- Architecture Alignment: Creating foundation for the hexagonal architecture's DVCS integration layer
- Methodology Support: Establishing infrastructure for small, frequent commits in our development approach
- Management Integration: Enabling GitHub-based project tracking with future Jujutsu compatibility
Branch Visualization and Management: Creating intuitive representations of development contexts
- Learning Vector: Developing spatial-visual cognitive frameworks for complex state management
- Architecture Alignment: Implementing the branch management system component within our collaboration infrastructure
- Methodology Support: Supporting parallel work streams for our two-week development cycles
- Management Integration: Enabling visualization of work in progress aligned with project structure
Basic Conflict Resolution: Implementing straightforward approaches for divergent change reconciliation
- Learning Vector: Building cognitive models for state divergence and convergence patterns
- Architecture Alignment: Creating foundation for the conflict resolution framework in our architecture
- Methodology Support: Enabling the continuous integration practices central to our development methodology
- Management Integration: Supporting collaborative merge workflows in our GitHub ecosystem
Change History Exploration: Creating accessible visualization of development evolution
- Learning Vector: Developing temporal reasoning capabilities and causality understanding
- Architecture Alignment: Implementing the knowledge preservation layer for our collaboration infrastructure
- Methodology Support: Enabling the reflection and learning practices central to our development approach
- Management Integration: Supporting knowledge archaeology within our project management system

Real-Time Collaboration Essentials

Synchronous Editing Capabilities: Implementing shared document and code modification
- Learning Vector: Building mental models of distributed state management and consistency
- Architecture Alignment: Creating core functionality for the real-time synchronization engine
- Methodology Support: Enabling pair programming practices within our development methodology
- Management Integration: Supporting collaborative knowledge creation in real-time
Presence Awareness: Creating clear indication of collaborator locations and activities
- Learning Vector: Developing spatial-social cognitive frameworks for group awareness
- Architecture Alignment: Implementing attention-respectful event system for notifications
- Methodology Support: Supporting the team connectivity essential to our development approach
- Management Integration: Enabling the ambient awareness central to our project tracking
Basic Communication Integration: Implementing text-based discussion capabilities
- Learning Vector: Building conceptual models for context-rich information exchange
- Architecture Alignment: Creating foundation for the asynchronous workflow manager
- Methodology Support: Supporting the knowledge sharing essential to our development approach
- Management Integration: Enabling discussion-documentation synthesis in our project system
Session Recording and Playback: Creating capability to review collaborative work sessions
- Learning Vector: Developing cognitive frameworks for process analysis and improvement
- Architecture Alignment: Implementing core capabilities of the knowledge preservation layer
- Methodology Support: Enabling the reflection and learning consolidation in our methodology
- Management Integration: Supporting the learning journey documentation in our project approach

Asynchronous Workflow Support

Work Context Preservation: Implementing state persistence across time-shifted collaboration
- Learning Vector: Building mental models for complex state management across time
- Architecture Alignment: Creating foundation for the asynchronous workflow manager
- Methodology Support: Supporting the context maintenance essential to our development approach
- Management Integration: Enabling the cognitive context preservation in our project system
Change Notification System: Creating relevant alerts about modifications to shared work
- Learning Vector: Developing attention management cognitive frameworks
- Architecture Alignment: Implementing the notification and event architecture components
- Methodology Support: Supporting the awareness maintenance in distributed team collaboration
- Management Integration: Enabling the information flow mechanisms in our project approach
Comment and Review Workflows: Implementing structured feedback provision on changes
- Learning Vector: Building mental models for constructive evaluation and perspective-taking
- Architecture Alignment: Creating functionality within the asynchronous workflow manager
- Methodology Support: Supporting the code review as a practice for perspective expansion
- Management Integration: Enabling review approaches focused on teaching in our project system
Task Assignment and Tracking: Creating basic coordination for distributed work
- Learning Vector: Developing cognitive frameworks for work decomposition and progress tracking
- Architecture Alignment: Implementing core functionality of the asynchronous workflow manager
- Methodology Support: Supporting the distributed work coordination in our development approach
- Management Integration: Enabling the issue architecture as focused growth direction

Basic Documentation Integration: Implementing connection between explanation and implementation
- Learning Vector: Building mental models for knowledge externalization and preservation
- Architecture Alignment: Creating foundation for the knowledge graph data architecture
- Methodology Support: Supporting documentation as a way to enhance neural network formation
- Management Integration: Enabling the documentation-growth connection in our project system
Code Annotation Capabilities: Creating in-context explanations of implementation details
- Learning Vector: Developing cognitive frameworks for contextual knowledge attachment
- Architecture Alignment: Implementing features within the knowledge preservation layer
- Methodology Support: Supporting the knowledge transfer rituals in our development approach
- Management Integration: Enabling the learning journey documentation in our project system
Simple Knowledge Base: Implementing structured repository for team insights and decisions
- Learning Vector: Building mental models for collective intelligence organization
- Architecture Alignment: Creating foundation for the knowledge graph data architecture
- Methodology Support: Supporting the knowledge synthesis essential to our development approach
- Management Integration: Enabling the collective memory architecture in our project system
Search and Discovery Basics: Creating fundamental information retrieval capabilities
- Learning Vector: Developing cognitive frameworks for information retrieval and connection
- Architecture Alignment: Implementing core functionality of the search and discovery architecture
- Methodology Support: Supporting the knowledge integration essential to our development approach
- Management Integration: Enabling the cross-domain connection visualization in our project system

Cross-Platform Experience as Mental Model Formation

Our MVP must establish consistent experiences across environments, building transferable cognitive frameworks that accelerate learning.

Desktop Application Foundation

Cross-Platform Desktop Client: Implementing Tauri-based application for all major operating systems
- Learning Vector: Building mental models for cross-platform development patterns
- Architecture Alignment: Creating the foundation for our local development empowerment architecture
- Methodology Support: Enabling the consistent development environment for our methodology
- Management Integration: Supporting the cross-platform accessibility in our project system
Native File System Integration: Creating seamless connection with local storage
- Learning Vector: Developing cognitive frameworks for system integration and data persistence
- Architecture Alignment: Implementing core functionality of our local development empowerment
- Methodology Support: Supporting the local-first development essential to our approach
- Management Integration: Enabling the self-sovereign knowledge management in our project approach
OS-Specific Optimizations: Implementing platform-native performance and integration
- Learning Vector: Building mental models for platform-specific adaptation patterns
- Architecture Alignment: Creating capabilities within our local development empowerment
- Methodology Support: Supporting the performance optimization in our development approach
- Management Integration: Enabling the device adaptation in our project system
Offline-First Functionality: Creating capability to work without continuous internet connection
- Learning Vector: Developing cognitive frameworks for state management and synchronization
- Architecture Alignment: Implementing the adaptive online/offline capability in our architecture
- Methodology Support: Supporting the local-first philosophy central to our development approach
- Management Integration: Enabling the data sovereignty enforcement in our project system

Web Experience Essentials

Progressive Web Application: Implementing browser-based interface with offline capabilities
- Learning Vector: Building mental models for modern web architecture patterns
- Architecture Alignment: Creating alternative client access within our system architecture
- Methodology Support: Supporting the cross-platform development practices in our methodology
- Management Integration: Enabling broader accessibility of our project system
WebAssembly Performance Optimization: Creating native-like speed in browser environment
- Learning Vector: Developing cognitive frameworks for high-performance web development
- Architecture Alignment: Implementing core capabilities for our performance optimization framework
- Methodology Support: Supporting the technical excellence emphasis in our development methodology
- Management Integration: Enabling the performance-sensitive aspects of our project system
Responsive Design Foundation: Implementing adaptable layouts for various screen sizes
- Learning Vector: Building mental models for adaptive interface design patterns
- Architecture Alignment: Creating capabilities within our deployment architecture
- Methodology Support: Supporting the user-centered design emphasis in our development approach
- Management Integration: Enabling the accessibility-conscious engagement in our project system
Cross-Browser Compatibility: Creating consistent experience across major web browsers
- Learning Vector: Developing cognitive frameworks for handling implementation differences
- Architecture Alignment: Implementing aspects of our cross-platform consistency architecture
- Methodology Support: Supporting the quality focus in our development methodology
- Management Integration: Enabling the inclusive participation support in our project system

Mobile-Ready Foundations

Responsive Mobile Web Experience: Implementing small-screen-optimized interface
- Learning Vector: Building mental models for progressive enhancement design patterns
- Architecture Alignment: Creating capabilities within our deployment architecture
- Methodology Support: Supporting the adaptive experience design in our development methodology
- Management Integration: Enabling the device adaptation approach in our project system
Touch-Optimized Interaction: Creating finger-friendly controls and workflows
- Learning Vector: Developing cognitive frameworks for different interaction patterns
- Architecture Alignment: Implementing aspects of our user interface architecture
- Methodology Support: Supporting the user-centered design emphasis in our development approach
- Management Integration: Enabling the input method flexibility in our project system
Mobile Network Resilience: Implementing tolerance for unreliable connections
- Learning Vector: Building mental models for connectivity resilience patterns
- Architecture Alignment: Creating capabilities within our adaptive online/offline architecture
- Methodology Support: Supporting the resilience engineering emphasis in our methodology
- Management Integration: Enabling the network limitation accommodation in our project system
Mobile Notification Integration: Creating platform-specific alert system integration
- Learning Vector: Developing cognitive frameworks for platform integration patterns
- Architecture Alignment: Implementing aspects of our notification and event architecture
- Methodology Support: Supporting the context awareness in our development approach
- Management Integration: Enabling the attention-respectful event system in our project approach

Security and Privacy Foundations as Trust Infrastructure

Our MVP must establish essential protection mechanisms that enable confident collaboration while educating the team about security patterns.

User Identity and Authentication

Secure Authentication System: Implementing industry-standard identity verification
- Learning Vector: Building mental models for identity management and verification patterns
- Architecture Alignment: Creating foundation for our trust architecture as agency amplifier
- Methodology Support: Supporting the security emphasis in our development methodology
- Management Integration: Enabling the trustworthy collaboration in our project system
Authorization Framework: Creating permission control for appropriate access
- Learning Vector: Developing cognitive frameworks for permission management patterns
- Architecture Alignment: Implementing core functionality of our trust architecture
- Methodology Support: Supporting the appropriate access control in our development approach
- Management Integration: Enabling the privacy-respecting analytics in our project system
Single Sign-On Integration: Implementing authentication with major identity providers
- Learning Vector: Building mental models for federated identity management
- Architecture Alignment: Creating capabilities within our authentication flexibility architecture
- Methodology Support: Supporting the integration patterns in our development methodology
- Management Integration: Enabling the external resource connection in our project system
Basic Role Management: Creating simple permission groups for different user types
- Learning Vector: Developing cognitive frameworks for access control abstraction
- Architecture Alignment: Implementing aspects of our authorization granularity architecture
- Methodology Support: Supporting the appropriate permission distribution in our approach
- Management Integration: Enabling the contribution recognition and integration in our system

Data Protection Essentials

End-to-End Encryption: Implementing strong protection for sensitive content
- Learning Vector: Building mental models for cryptographic protection patterns
- Architecture Alignment: Creating foundation for our privacy-enhancing technologies
- Methodology Support: Supporting the security-first approach in our development methodology
- Management Integration: Enabling the data sovereignty enforcement in our project system
Secure Storage Implementation: Creating protected persistence for sensitive information
- Learning Vector: Developing cognitive frameworks for secure data management
- Architecture Alignment: Implementing capabilities within our privacy-enhancing technologies
- Methodology Support: Supporting the trust-building practices in our development approach
- Management Integration: Enabling the information ownership preservation in our project system
Data Minimization Approach: Implementing collection of only essential information
- Learning Vector: Building mental models for privacy-oriented design patterns
- Architecture Alignment: Creating foundation for our minimal collection principle architecture
- Methodology Support: Supporting the ethical technology development in our methodology
- Management Integration: Enabling the privacy-respecting analytics in our project system
User Data Control: Creating capabilities for managing personal information
- Learning Vector: Developing cognitive frameworks for user sovereignty patterns
- Architecture Alignment: Implementing core functionality of our data sovereignty enforcement
- Methodology Support: Supporting the user-centered design emphasis in our development approach
- Management Integration: Enabling the self-sovereign knowledge management in our project system

Infrastructure Security Basics

Secure Communication Channels: Implementing protected data transmission
- Learning Vector: Building mental models for secure network protocol patterns
- Architecture Alignment: Creating foundation for our security architecture
- Methodology Support: Supporting the secure-by-default approach in our methodology
- Management Integration: Enabling the secure information exchange in our project system
Vulnerability Protection: Creating defenses against common attack vectors
- Learning Vector: Developing cognitive frameworks for security threat modeling
- Architecture Alignment: Implementing core protections within our security architecture
- Methodology Support: Supporting the defensive programming practices in our approach
- Management Integration: Enabling the security-by-default infrastructure in our project system
Dependency Security Management: Implementing careful handling of external components
- Learning Vector: Building mental models for supply chain security patterns
- Architecture Alignment: Creating capabilities within our open source security model
- Methodology Support: Supporting the security-conscious development in our methodology
- Management Integration: Enabling the dependency governance in our project system
Basic Security Monitoring: Creating detection for potential security issues
- Learning Vector: Developing cognitive frameworks for security observability
- Architecture Alignment: Implementing aspects of our security as learning opportunity architecture
- Methodology Support: Supporting the continuous improvement in our development approach
- Management Integration: Enabling the transparent protection mechanisms in our project system

Technical Scope Boundaries for Effective Learning

Our MVP must establish clear limits that ensure focused, achievable implementation while creating rich learning opportunities.

Essential vs. Future Capabilities

Core User Journey Focus: Implementing only what's required for basic collaborative workflows
- Learning Vector: Building mental models for value-centric prioritization
- Architecture Alignment: Creating the foundation for our component organization
- Methodology Support: Supporting the focused development emphasis in our methodology
- Management Integration: Enabling the high-value feature emphasis in our project system
Technical Capability Prioritization: Creating fundamental infrastructure before advanced features
- Learning Vector: Developing cognitive frameworks for technical dependency planning
- Architecture Alignment: Implementing the core architecture first approach
- Methodology Support: Supporting the incremental complexity management in our methodology
- Management Integration: Enabling the strategic focus protection in our project system
Experience Continuity Emphasis: Implementing smooth workflows over feature breadth
- Learning Vector: Building mental models for user experience design patterns
- Architecture Alignment: Creating cohesive user journeys within our architecture
- Methodology Support: Supporting the user-centered design emphasis in our development
- Management Integration: Enabling the flow state facilitation in our project system
Quality Over Quantity Principle: Creating fewer features with higher excellence
- Learning Vector: Developing cognitive frameworks for craftsmanship and excellence
- Architecture Alignment: Implementing our emphasis on quality over feature breadth
- Methodology Support: Supporting the quality emphasis in our development methodology
- Management Integration: Enabling the exceptional quality standards in our project system

Technical Constraint Recognition

Performance Threshold Requirements: Establishing minimum responsiveness standards
- Learning Vector: Building mental models for performance optimization patterns
- Architecture Alignment: Creating foundation for our performance optimization framework
- Methodology Support: Supporting the technical excellence emphasis in our methodology
- Management Integration: Enabling the performance as respect principle in our project system
Cross-Platform Compatibility Scope: Defining supported operating systems and browsers
- Learning Vector: Developing cognitive frameworks for platform support decisions
- Architecture Alignment: Implementing boundaries for our cross-platform consistency
- Methodology Support: Supporting the scope clarity in our development methodology
- Management Integration: Enabling the device adaptation approach in our project system
Offline Capability Boundaries: Establishing which functions work without connectivity
- Learning Vector: Building mental models for online/offline functionality patterns
- Architecture Alignment: Creating defined limits for our adaptive online/offline capability
- Methodology Support: Supporting the explicit boundary setting in our development approach
- Management Integration: Enabling the network limitation accommodation in our project system
Integration Scope Limitations: Defining which external systems will be supported initially
- Learning Vector: Developing cognitive frameworks for integration prioritization
- Architecture Alignment: Implementing boundaries for our integration architecture
- Methodology Support: Supporting the focused execution in our development methodology
- Management Integration: Enabling the external resource connection in our project system

Ethical Boundary Establishment

User Consent Requirements: Implementing clear permission for data collection
- Learning Vector: Building mental models for ethical design patterns
- Architecture Alignment: Creating foundation for our data sovereignty enforcement
- Methodology Support: Supporting the user-centered ethical design in our approach
- Management Integration: Enabling the privacy-respecting analytics in our project system
Privacy-Preserving Analytics: Creating measurement that respects user boundaries
- Learning Vector: Developing cognitive frameworks for privacy-centric analytics
- Architecture Alignment: Implementing our privacy-enhancing technologies
- Methodology Support: Supporting the ethical technology development in our methodology
- Management Integration: Enabling the privacy-respecting analytics in our project system
Accessibility Minimum Standards: Establishing baseline inclusive design requirements
- Learning Vector: Building mental models for inclusive design patterns
- Architecture Alignment: Creating foundation for our accessibility emphasis
- Methodology Support: Supporting the inclusive design practices in our development approach
- Management Integration: Enabling the accessibility-conscious engagement in our project system
Resource Consumption Limits: Defining acceptable computational and storage utilization
- Learning Vector: Developing cognitive frameworks for resource optimization
- Architecture Alignment: Implementing boundaries for our performance optimization framework
- Methodology Support: Supporting the resource-conscious development in our approach
- Management Integration: Enabling the environmental impact reflection in our project system

This comprehensive approach to MVP requirements establishes a neuroplastic development catalyst—creating the initial conditions for high-agency learning and cross-domain skill acquisition. By consciously designing our MVP to align with our hexagonal architecture, support our neuroplasticity-focused development methodology, and integrate with our GitHub/Jujutsu project management approach, we establish the foundation for transforming both users and developers from spectators to creators throughout our journey.

Guerilla Mktg Vibification