# Directus Task Management Suite - User Stories & Sprint Planning

## User Stories Overview

### Epic Structure
The Directus Task Management Suite is organized into 4 main epics, each containing multiple user stories that deliver incremental value while building toward the complete solution.

## Epic 1: Core Task Management Foundation

### User Story 1.1: Basic Task CRUD Operations
**As a** developer managing AI projects  
**I want to** create, read, update, and delete tasks through a web interface  
**So that** I can manage my work without relying solely on CLI tools  

**Acceptance Criteria:**
- [ ] Can create new tasks with title, description, priority, and status
- [ ] Can view task details in a clean, organized interface
- [ ] Can update task properties through form interfaces
- [ ] Can delete tasks with confirmation dialog
- [ ] All operations sync with backend Directus collections

**Definition of Done:**
- [ ] All CRUD operations working via Directus admin interface
- [ ] Form validation prevents invalid data entry
- [ ] Success/error messages provide clear feedback
- [ ] Responsive design works on mobile devices
- [ ] Basic permissions prevent unauthorized access

**Technical Tasks:**
- [ ] Design and implement `tasks` collection schema
- [ ] Configure Directus admin interface for tasks
- [ ] Set up form validation rules
- [ ] Implement responsive CSS overrides
- [ ] Add basic permission rules

### User Story 1.2: Project Organization System
**As a** project manager organizing multiple initiatives  
**I want to** group tasks under projects with hierarchical structure  
**So that** I can maintain organization across complex multi-project work  

**Acceptance Criteria:**
- [ ] Can create projects with name, description, and metadata
- [ ] Can assign tasks to specific projects
- [ ] Can view project-level task summaries
- [ ] Can create sub-projects for complex initiatives
- [ ] Project completion percentage calculated automatically

**Definition of Done:**
- [ ] Projects collection with proper relationships implemented
- [ ] Hierarchical project view available in admin interface
- [ ] Task assignment dropdown populated from projects
- [ ] Project dashboard shows progress metrics
- [ ] Bulk task operations available at project level

**Technical Tasks:**
- [ ] Implement `projects` collection with self-referential relationships
- [ ] Create project dashboard interface
- [ ] Build progress calculation functions
- [ ] Add bulk operation capabilities
- [ ] Implement project-based filtering

### User Story 1.3: Customizable Status Workflow
**As a** development team lead  
**I want to** define custom task statuses that match our workflow  
**So that** task states accurately reflect our development process  

**Acceptance Criteria:**
- [ ] Can create custom status definitions with names and colors
- [ ] Can configure automatic status transitions based on triggers
- [ ] Status changes tracked in audit log
- [ ] Visual status indicators throughout the interface
- [ ] Default status workflows for common patterns (BMad, GitHub, etc.)

**Definition of Done:**
- [ ] `task_statuses` collection with full customization
- [ ] Status transition rules engine implemented
- [ ] Audit logging for all status changes
- [ ] Color-coded status indicators in UI
- [ ] Pre-configured workflow templates available

**Technical Tasks:**
- [ ] Design task_statuses collection schema
- [ ] Implement status transition rule engine
- [ ] Add audit logging hooks
- [ ] Create status visualization components
- [ ] Build workflow template system

## Epic 2: AI Integration & Automation

### User Story 2.1: AI-Powered Task Creation
**As a** developer working with AI agents  
**I want to** create tasks using natural language prompts  
**So that** I can quickly capture work items without manual form entry  

**Acceptance Criteria:**
- [ ] Natural language input box for task creation
- [ ] AI extracts title, description, priority from prompt
- [ ] Suggested project assignment based on context
- [ ] Option to review and modify AI suggestions before saving
- [ ] Integration with existing Directus prompt system

**Definition of Done:**
- [ ] NLP processing endpoint integrated with task creation
- [ ] AI suggestion review interface implemented
- [ ] Context-aware project suggestion algorithm
- [ ] Integration with Directus ai_prompts collection
- [ ] Error handling for AI service failures

**Technical Tasks:**
- [ ] Build NLP task creation API endpoint
- [ ] Create AI suggestion review interface
- [ ] Implement project suggestion algorithm
- [ ] Add prompt collection integration
- [ ] Build AI service fallback mechanisms

### User Story 2.2: Claude Code Agent Context Integration
**As a** Claude Code agent working on development tasks  
**I want to** access rich task context through MCP tools  
**So that** I can provide more targeted and effective assistance  

**Acceptance Criteria:**
- [ ] MCP tools provide current task details to agents
- [ ] Task context includes dependencies, project info, and history
- [ ] Agents can update task progress through MCP tools
- [ ] Agent activity logged in task context
- [ ] Multiple agents can work on related tasks with shared context

**Definition of Done:**
- [ ] 22 new MCP tools implemented for task operations
- [ ] Rich task context API providing all necessary data
- [ ] Agent progress update mechanisms working
- [ ] Activity logging capturing agent interactions
- [ ] Multi-agent coordination through shared task context

**Technical Tasks:**
- [ ] Implement 22 MCP tools for task management
- [ ] Build rich context API endpoints
- [ ] Create agent progress update system
- [ ] Add comprehensive activity logging
- [ ] Design multi-agent coordination patterns

### User Story 2.3: Automated Progress Tracking
**As a** project manager monitoring development progress  
**I want to** receive automatic updates when tasks advance through workflows  
**So that** I can track progress without manual status updates  

**Acceptance Criteria:**
- [ ] Git commit patterns automatically update task status
- [ ] Pull request events trigger status transitions
- [ ] Time tracking captures development activity
- [ ] Progress percentages update based on subtask completion
- [ ] Automated notifications for status changes

**Definition of Done:**
- [ ] Git integration webhooks processing commits and PRs
- [ ] Automated status transition rules implemented
- [ ] Time tracking system capturing activity
- [ ] Progress calculation algorithms working
- [ ] Notification system sending relevant updates

**Technical Tasks:**
- [ ] Implement git webhook processing
- [ ] Build automated status transition engine
- [ ] Create time tracking integration
- [ ] Develop progress calculation algorithms
- [ ] Add notification delivery system

## Epic 3: Workflow Integration & Collaboration

### User Story 3.1: BMad Methodology Integration
**As a** developer following BMad methodology  
**I want to** create epics and stories that align with BMad workflows  
**So that** my task management supports my established development process  

**Acceptance Criteria:**
- [ ] BMad epic template creates proper task hierarchies
- [ ] Workflow steps tracked for each BMad phase
- [ ] Agent assignment based on BMad role requirements
- [ ] Progress tracking aligned with BMad milestones
- [ ] Integration with existing BMad planning documents

**Definition of Done:**
- [ ] BMad workflow templates implemented
- [ ] Task hierarchy creation from epic templates
- [ ] BMad phase tracking system operational
- [ ] Agent-role assignment algorithms working
- [ ] Integration with planning document system

**Technical Tasks:**
- [ ] Build BMad workflow template system
- [ ] Implement epic-to-tasks generation
- [ ] Create BMad phase tracking
- [ ] Develop agent assignment logic
- [ ] Add planning document integration

### User Story 3.2: Task Master Bidirectional Sync
**As a** power user comfortable with CLI tools  
**I want to** maintain my Task Master workflow while gaining web UI benefits  
**So that** I can use both interfaces interchangeably without data conflicts  

**Acceptance Criteria:**
- [ ] Changes in Task Master sync to Directus automatically
- [ ] Changes in Directus sync to Task Master automatically
- [ ] Conflict resolution handles simultaneous edits
- [ ] Sync status visible in both interfaces
- [ ] Fallback to manual sync if automated sync fails

**Definition of Done:**
- [ ] Bidirectional sync service implemented and tested
- [ ] Conflict resolution algorithm handling edge cases
- [ ] Sync status indicators in both UIs
- [ ] Manual sync commands available as fallback
- [ ] Data integrity validation preventing corruption

**Technical Tasks:**
- [ ] Build bidirectional sync service
- [ ] Implement conflict resolution algorithms
- [ ] Add sync status tracking and display
- [ ] Create manual sync command interface
- [ ] Build data integrity validation

### User Story 3.3: Team Collaboration Features
**As a** team member collaborating on AI projects  
**I want to** share tasks, assign work, and track team progress  
**So that** multiple people can coordinate effectively on complex projects  

**Acceptance Criteria:**
- [ ] Task assignment to team members through user interface
- [ ] Comments and discussion threads on tasks
- [ ] Team workload visualization and balancing
- [ ] Shared project dashboards for team visibility
- [ ] Role-based permissions for different team functions

**Definition of Done:**
- [ ] User assignment system with dropdown selection
- [ ] Commenting system with threaded discussions
- [ ] Workload dashboard showing team capacity
- [ ] Shared dashboard accessible to team members
- [ ] Comprehensive permission system protecting sensitive data

**Technical Tasks:**
- [ ] Implement user assignment interface
- [ ] Build commenting and discussion system
- [ ] Create workload visualization dashboard
- [ ] Develop shared team dashboards
- [ ] Configure role-based access control

## Epic 4: Advanced Analytics & Optimization

### User Story 4.1: Progress Analytics Dashboard
**As a** project stakeholder tracking development initiatives  
**I want to** view comprehensive analytics on task completion and velocity  
**So that** I can make data-driven decisions about project planning and resource allocation  

**Acceptance Criteria:**
- [ ] Velocity tracking showing tasks completed over time
- [ ] Burndown charts for sprint and project planning
- [ ] Resource utilization showing team member workload
- [ ] Completion time predictions based on historical data
- [ ] Custom date ranges and filtering options

**Definition of Done:**
- [ ] Analytics dashboard with multiple chart types
- [ ] Historical data analysis providing insights
- [ ] Predictive algorithms for completion estimates
- [ ] Customizable reporting with filter options
- [ ] Export capabilities for external reporting

**Technical Tasks:**
- [ ] Build analytics dashboard infrastructure
- [ ] Implement data analysis algorithms
- [ ] Create predictive completion models
- [ ] Add customizable filtering system
- [ ] Build export functionality

### User Story 4.2: Performance Optimization & Scaling
**As a** system administrator managing growing project data  
**I want to** ensure optimal performance as task volume increases  
**So that** the system remains responsive and reliable under heavy usage  

**Acceptance Criteria:**
- [ ] Page load times remain under 100ms for common operations
- [ ] Database queries optimized with proper indexing
- [ ] Caching system reduces API call frequency
- [ ] Pagination handles large task lists efficiently
- [ ] Background processing for heavy operations

**Definition of Done:**
- [ ] Performance benchmarks meeting targets under load
- [ ] Database optimization with measured improvements
- [ ] Caching system reducing response times
- [ ] Efficient pagination with cursor-based implementation
- [ ] Background job processing for intensive tasks

**Technical Tasks:**
- [ ] Implement performance monitoring and benchmarks
- [ ] Optimize database queries and add strategic indexes
- [ ] Build caching layer with appropriate TTL settings
- [ ] Create cursor-based pagination system
- [ ] Add background job processing capabilities

## Sprint Planning

### Sprint 1 (Weeks 1-2): Foundation Sprint
**Goal:** Establish core task management functionality with basic web interface

**Sprint Backlog:**
- User Story 1.1: Basic Task CRUD Operations (8 points)
- User Story 1.2: Project Organization System (5 points)
- User Story 1.3: Customizable Status Workflow (5 points)

**Sprint Deliverables:**
- Functional task management via Directus admin interface
- Project hierarchy with task assignment
- Customizable status system with visual indicators

**Definition of Ready:**
- [ ] All schemas designed and validated
- [ ] Directus instance configured for development
- [ ] Development environment set up and tested

**Definition of Done:**
- [ ] All acceptance criteria met for included user stories
- [ ] Code reviewed and approved
- [ ] Basic testing completed
- [ ] Documentation updated

### Sprint 2 (Weeks 3-4): AI Integration Sprint
**Goal:** Implement AI-powered features and agent integration

**Sprint Backlog:**
- User Story 2.1: AI-Powered Task Creation (8 points)
- User Story 2.2: Claude Code Agent Context Integration (13 points)
- User Story 2.3: Automated Progress Tracking (8 points)

**Sprint Deliverables:**
- Natural language task creation working
- 22 MCP tools providing agent integration
- Automated status updates from git activity

**Definition of Ready:**
- [ ] AI prompt system integration points identified
- [ ] MCP tool development patterns established
- [ ] Git webhook integration architecture designed

**Definition of Done:**
- [ ] AI task creation working with high accuracy
- [ ] All MCP tools implemented and tested
- [ ] Automated tracking reducing manual updates by 80%

### Sprint 3 (Weeks 5-6): Workflow Integration Sprint  
**Goal:** Integrate with existing BMad and Task Master workflows

**Sprint Backlog:**
- User Story 3.1: BMad Methodology Integration (8 points)
- User Story 3.2: Task Master Bidirectional Sync (13 points)
- User Story 3.3: Team Collaboration Features (8 points)

**Sprint Deliverables:**
- BMad workflow templates and tracking
- Bidirectional Task Master synchronization
- Team collaboration through web interface

**Definition of Ready:**
- [ ] BMad workflow patterns documented and analyzed
- [ ] Task Master sync architecture validated
- [ ] Team collaboration requirements defined

**Definition of Done:**
- [ ] BMad users can follow established workflows
- [ ] Task Master and Directus operate seamlessly together
- [ ] Team members can collaborate effectively

### Sprint 4 (Weeks 7-8): Analytics & Optimization Sprint
**Goal:** Deliver analytics capabilities and optimize system performance

**Sprint Backlog:**
- User Story 4.1: Progress Analytics Dashboard (8 points)
- User Story 4.2: Performance Optimization & Scaling (5 points)
- Technical debt and polish items (5 points)

**Sprint Deliverables:**
- Comprehensive analytics dashboard
- Performance optimizations for scale
- Production-ready system with monitoring

**Definition of Ready:**
- [ ] Analytics requirements defined with stakeholders
- [ ] Performance benchmarks established
- [ ] Production deployment plan prepared

**Definition of Done:**
- [ ] Analytics provide actionable insights
- [ ] System performance meets all targets
- [ ] Production deployment successful

## Release Planning

### Release 1.0: MVP (End of Sprint 2)
**Features:**
- Core task management with web UI
- AI-powered task creation
- Basic Claude Code agent integration

**Success Criteria:**
- 50+ tasks created through web interface
- 80% of tasks created using AI assistance
- Agents successfully using task context

### Release 2.0: Workflow Integration (End of Sprint 3)
**Features:**  
- BMad methodology support
- Task Master bidirectional sync
- Team collaboration capabilities

**Success Criteria:**
- BMad workflows fully supported
- 100% sync reliability with Task Master
- Team collaboration actively used

### Release 3.0: Enterprise Features (End of Sprint 4)
**Features:**
- Advanced analytics dashboard
- Performance optimizations
- Full production deployment

**Success Criteria:**
- Analytics driving project decisions
- System handling 10,000+ tasks efficiently
- 99.9% system availability

## Story Estimation & Velocity

### Story Point Scale (Fibonacci)
- **1 Point**: Simple configuration or minor UI change
- **2 Points**: Basic CRUD operation implementation
- **3 Points**: Moderate complexity feature with some integration
- **5 Points**: Complex feature requiring multiple components
- **8 Points**: Major feature with significant integration requirements
- **13 Points**: Epic-level feature requiring multiple sprint cycles

### Estimated Team Velocity
- **Sprint Capacity**: 18 story points per 2-week sprint
- **Team Size**: 1-2 developers
- **Experience Level**: High with existing codebase and tools
- **Risk Buffer**: 20% capacity reserved for unexpected complexity

### Dependencies & Risks

**Inter-Sprint Dependencies:**
- Sprint 2 depends on Sprint 1 foundation
- Sprint 3 Task Master sync requires Sprint 1 data models
- Sprint 4 analytics require Sprint 2-3 data generation

**Key Risks:**
- **Task Master Integration Complexity**: May require additional sprint time
- **AI Service Reliability**: Backup plans needed for AI failures
- **Directus Performance**: May need additional optimization work
- **Team Capacity**: Single-person development may impact velocity

**Mitigation Strategies:**
- **Early Proof of Concepts**: Validate complex integrations early
- **Incremental Delivery**: Each sprint delivers working features
- **Fallback Plans**: Manual processes available if automation fails
- **External Help**: Consider additional development resources if needed

This comprehensive user story and sprint plan provides a clear roadmap for delivering the Directus Task Management Suite while maintaining focus on user value and technical excellence.