467 lines
18 KiB
Markdown
467 lines
18 KiB
Markdown
# Directus Task Management Suite - User Stories & Sprint Planning
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## User Stories Overview
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### Epic Structure
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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.
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## Epic 1: Core Task Management Foundation
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### User Story 1.1: Basic Task CRUD Operations
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**As a** developer managing AI projects
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**I want to** create, read, update, and delete tasks through a web interface
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**So that** I can manage my work without relying solely on CLI tools
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**Acceptance Criteria:**
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- [ ] Can create new tasks with title, description, priority, and status
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- [ ] Can view task details in a clean, organized interface
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- [ ] Can update task properties through form interfaces
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- [ ] Can delete tasks with confirmation dialog
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- [ ] All operations sync with backend Directus collections
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**Definition of Done:**
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- [ ] All CRUD operations working via Directus admin interface
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- [ ] Form validation prevents invalid data entry
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- [ ] Success/error messages provide clear feedback
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- [ ] Responsive design works on mobile devices
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- [ ] Basic permissions prevent unauthorized access
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**Technical Tasks:**
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- [ ] Design and implement `tasks` collection schema
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- [ ] Configure Directus admin interface for tasks
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- [ ] Set up form validation rules
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- [ ] Implement responsive CSS overrides
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- [ ] Add basic permission rules
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### User Story 1.2: Project Organization System
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**As a** project manager organizing multiple initiatives
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**I want to** group tasks under projects with hierarchical structure
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**So that** I can maintain organization across complex multi-project work
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**Acceptance Criteria:**
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- [ ] Can create projects with name, description, and metadata
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- [ ] Can assign tasks to specific projects
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- [ ] Can view project-level task summaries
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- [ ] Can create sub-projects for complex initiatives
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- [ ] Project completion percentage calculated automatically
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**Definition of Done:**
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- [ ] Projects collection with proper relationships implemented
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- [ ] Hierarchical project view available in admin interface
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- [ ] Task assignment dropdown populated from projects
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- [ ] Project dashboard shows progress metrics
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- [ ] Bulk task operations available at project level
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**Technical Tasks:**
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- [ ] Implement `projects` collection with self-referential relationships
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- [ ] Create project dashboard interface
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- [ ] Build progress calculation functions
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- [ ] Add bulk operation capabilities
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- [ ] Implement project-based filtering
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### User Story 1.3: Customizable Status Workflow
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**As a** development team lead
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**I want to** define custom task statuses that match our workflow
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**So that** task states accurately reflect our development process
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**Acceptance Criteria:**
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- [ ] Can create custom status definitions with names and colors
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- [ ] Can configure automatic status transitions based on triggers
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- [ ] Status changes tracked in audit log
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- [ ] Visual status indicators throughout the interface
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- [ ] Default status workflows for common patterns (BMad, GitHub, etc.)
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**Definition of Done:**
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- [ ] `task_statuses` collection with full customization
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- [ ] Status transition rules engine implemented
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- [ ] Audit logging for all status changes
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- [ ] Color-coded status indicators in UI
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- [ ] Pre-configured workflow templates available
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**Technical Tasks:**
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- [ ] Design task_statuses collection schema
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- [ ] Implement status transition rule engine
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- [ ] Add audit logging hooks
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- [ ] Create status visualization components
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- [ ] Build workflow template system
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## Epic 2: AI Integration & Automation
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### User Story 2.1: AI-Powered Task Creation
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**As a** developer working with AI agents
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**I want to** create tasks using natural language prompts
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**So that** I can quickly capture work items without manual form entry
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**Acceptance Criteria:**
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- [ ] Natural language input box for task creation
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- [ ] AI extracts title, description, priority from prompt
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- [ ] Suggested project assignment based on context
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- [ ] Option to review and modify AI suggestions before saving
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- [ ] Integration with existing Directus prompt system
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**Definition of Done:**
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- [ ] NLP processing endpoint integrated with task creation
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- [ ] AI suggestion review interface implemented
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- [ ] Context-aware project suggestion algorithm
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- [ ] Integration with Directus ai_prompts collection
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- [ ] Error handling for AI service failures
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**Technical Tasks:**
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- [ ] Build NLP task creation API endpoint
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- [ ] Create AI suggestion review interface
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- [ ] Implement project suggestion algorithm
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- [ ] Add prompt collection integration
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- [ ] Build AI service fallback mechanisms
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### User Story 2.2: Claude Code Agent Context Integration
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**As a** Claude Code agent working on development tasks
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**I want to** access rich task context through MCP tools
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**So that** I can provide more targeted and effective assistance
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**Acceptance Criteria:**
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- [ ] MCP tools provide current task details to agents
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- [ ] Task context includes dependencies, project info, and history
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- [ ] Agents can update task progress through MCP tools
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- [ ] Agent activity logged in task context
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- [ ] Multiple agents can work on related tasks with shared context
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**Definition of Done:**
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- [ ] 22 new MCP tools implemented for task operations
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- [ ] Rich task context API providing all necessary data
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- [ ] Agent progress update mechanisms working
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- [ ] Activity logging capturing agent interactions
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- [ ] Multi-agent coordination through shared task context
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**Technical Tasks:**
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- [ ] Implement 22 MCP tools for task management
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- [ ] Build rich context API endpoints
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- [ ] Create agent progress update system
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- [ ] Add comprehensive activity logging
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- [ ] Design multi-agent coordination patterns
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### User Story 2.3: Automated Progress Tracking
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**As a** project manager monitoring development progress
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**I want to** receive automatic updates when tasks advance through workflows
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**So that** I can track progress without manual status updates
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**Acceptance Criteria:**
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- [ ] Git commit patterns automatically update task status
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- [ ] Pull request events trigger status transitions
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- [ ] Time tracking captures development activity
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- [ ] Progress percentages update based on subtask completion
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- [ ] Automated notifications for status changes
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**Definition of Done:**
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- [ ] Git integration webhooks processing commits and PRs
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- [ ] Automated status transition rules implemented
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- [ ] Time tracking system capturing activity
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- [ ] Progress calculation algorithms working
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- [ ] Notification system sending relevant updates
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**Technical Tasks:**
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- [ ] Implement git webhook processing
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- [ ] Build automated status transition engine
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- [ ] Create time tracking integration
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- [ ] Develop progress calculation algorithms
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- [ ] Add notification delivery system
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## Epic 3: Workflow Integration & Collaboration
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### User Story 3.1: BMad Methodology Integration
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**As a** developer following BMad methodology
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**I want to** create epics and stories that align with BMad workflows
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**So that** my task management supports my established development process
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**Acceptance Criteria:**
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- [ ] BMad epic template creates proper task hierarchies
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- [ ] Workflow steps tracked for each BMad phase
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- [ ] Agent assignment based on BMad role requirements
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- [ ] Progress tracking aligned with BMad milestones
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- [ ] Integration with existing BMad planning documents
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**Definition of Done:**
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- [ ] BMad workflow templates implemented
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- [ ] Task hierarchy creation from epic templates
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- [ ] BMad phase tracking system operational
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- [ ] Agent-role assignment algorithms working
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- [ ] Integration with planning document system
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**Technical Tasks:**
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- [ ] Build BMad workflow template system
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- [ ] Implement epic-to-tasks generation
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- [ ] Create BMad phase tracking
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- [ ] Develop agent assignment logic
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- [ ] Add planning document integration
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### User Story 3.2: Task Master Bidirectional Sync
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**As a** power user comfortable with CLI tools
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**I want to** maintain my Task Master workflow while gaining web UI benefits
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**So that** I can use both interfaces interchangeably without data conflicts
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**Acceptance Criteria:**
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- [ ] Changes in Task Master sync to Directus automatically
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- [ ] Changes in Directus sync to Task Master automatically
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- [ ] Conflict resolution handles simultaneous edits
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- [ ] Sync status visible in both interfaces
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- [ ] Fallback to manual sync if automated sync fails
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**Definition of Done:**
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- [ ] Bidirectional sync service implemented and tested
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- [ ] Conflict resolution algorithm handling edge cases
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- [ ] Sync status indicators in both UIs
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- [ ] Manual sync commands available as fallback
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- [ ] Data integrity validation preventing corruption
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**Technical Tasks:**
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- [ ] Build bidirectional sync service
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- [ ] Implement conflict resolution algorithms
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- [ ] Add sync status tracking and display
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- [ ] Create manual sync command interface
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- [ ] Build data integrity validation
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### User Story 3.3: Team Collaboration Features
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**As a** team member collaborating on AI projects
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**I want to** share tasks, assign work, and track team progress
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**So that** multiple people can coordinate effectively on complex projects
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**Acceptance Criteria:**
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- [ ] Task assignment to team members through user interface
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- [ ] Comments and discussion threads on tasks
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- [ ] Team workload visualization and balancing
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- [ ] Shared project dashboards for team visibility
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- [ ] Role-based permissions for different team functions
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**Definition of Done:**
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- [ ] User assignment system with dropdown selection
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- [ ] Commenting system with threaded discussions
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- [ ] Workload dashboard showing team capacity
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- [ ] Shared dashboard accessible to team members
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- [ ] Comprehensive permission system protecting sensitive data
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**Technical Tasks:**
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- [ ] Implement user assignment interface
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- [ ] Build commenting and discussion system
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- [ ] Create workload visualization dashboard
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- [ ] Develop shared team dashboards
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- [ ] Configure role-based access control
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## Epic 4: Advanced Analytics & Optimization
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### User Story 4.1: Progress Analytics Dashboard
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**As a** project stakeholder tracking development initiatives
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**I want to** view comprehensive analytics on task completion and velocity
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**So that** I can make data-driven decisions about project planning and resource allocation
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**Acceptance Criteria:**
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- [ ] Velocity tracking showing tasks completed over time
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- [ ] Burndown charts for sprint and project planning
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- [ ] Resource utilization showing team member workload
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- [ ] Completion time predictions based on historical data
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- [ ] Custom date ranges and filtering options
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**Definition of Done:**
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- [ ] Analytics dashboard with multiple chart types
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- [ ] Historical data analysis providing insights
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- [ ] Predictive algorithms for completion estimates
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- [ ] Customizable reporting with filter options
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- [ ] Export capabilities for external reporting
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**Technical Tasks:**
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- [ ] Build analytics dashboard infrastructure
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- [ ] Implement data analysis algorithms
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- [ ] Create predictive completion models
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- [ ] Add customizable filtering system
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- [ ] Build export functionality
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### User Story 4.2: Performance Optimization & Scaling
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**As a** system administrator managing growing project data
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**I want to** ensure optimal performance as task volume increases
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**So that** the system remains responsive and reliable under heavy usage
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**Acceptance Criteria:**
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- [ ] Page load times remain under 100ms for common operations
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- [ ] Database queries optimized with proper indexing
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- [ ] Caching system reduces API call frequency
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- [ ] Pagination handles large task lists efficiently
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- [ ] Background processing for heavy operations
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**Definition of Done:**
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- [ ] Performance benchmarks meeting targets under load
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- [ ] Database optimization with measured improvements
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- [ ] Caching system reducing response times
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- [ ] Efficient pagination with cursor-based implementation
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- [ ] Background job processing for intensive tasks
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**Technical Tasks:**
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- [ ] Implement performance monitoring and benchmarks
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- [ ] Optimize database queries and add strategic indexes
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- [ ] Build caching layer with appropriate TTL settings
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- [ ] Create cursor-based pagination system
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- [ ] Add background job processing capabilities
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## Sprint Planning
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### Sprint 1 (Weeks 1-2): Foundation Sprint
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**Goal:** Establish core task management functionality with basic web interface
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**Sprint Backlog:**
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- User Story 1.1: Basic Task CRUD Operations (8 points)
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- User Story 1.2: Project Organization System (5 points)
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- User Story 1.3: Customizable Status Workflow (5 points)
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**Sprint Deliverables:**
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- Functional task management via Directus admin interface
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- Project hierarchy with task assignment
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- Customizable status system with visual indicators
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**Definition of Ready:**
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- [ ] All schemas designed and validated
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- [ ] Directus instance configured for development
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- [ ] Development environment set up and tested
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**Definition of Done:**
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- [ ] All acceptance criteria met for included user stories
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- [ ] Code reviewed and approved
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- [ ] Basic testing completed
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- [ ] Documentation updated
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### Sprint 2 (Weeks 3-4): AI Integration Sprint
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**Goal:** Implement AI-powered features and agent integration
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**Sprint Backlog:**
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- User Story 2.1: AI-Powered Task Creation (8 points)
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- User Story 2.2: Claude Code Agent Context Integration (13 points)
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- User Story 2.3: Automated Progress Tracking (8 points)
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**Sprint Deliverables:**
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- Natural language task creation working
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- 22 MCP tools providing agent integration
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- Automated status updates from git activity
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**Definition of Ready:**
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- [ ] AI prompt system integration points identified
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- [ ] MCP tool development patterns established
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- [ ] Git webhook integration architecture designed
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**Definition of Done:**
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- [ ] AI task creation working with high accuracy
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- [ ] All MCP tools implemented and tested
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- [ ] Automated tracking reducing manual updates by 80%
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### Sprint 3 (Weeks 5-6): Workflow Integration Sprint
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**Goal:** Integrate with existing BMad and Task Master workflows
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**Sprint Backlog:**
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- User Story 3.1: BMad Methodology Integration (8 points)
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- User Story 3.2: Task Master Bidirectional Sync (13 points)
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- User Story 3.3: Team Collaboration Features (8 points)
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**Sprint Deliverables:**
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- BMad workflow templates and tracking
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- Bidirectional Task Master synchronization
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- Team collaboration through web interface
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**Definition of Ready:**
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- [ ] BMad workflow patterns documented and analyzed
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- [ ] Task Master sync architecture validated
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- [ ] Team collaboration requirements defined
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**Definition of Done:**
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- [ ] BMad users can follow established workflows
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- [ ] Task Master and Directus operate seamlessly together
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- [ ] Team members can collaborate effectively
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### Sprint 4 (Weeks 7-8): Analytics & Optimization Sprint
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**Goal:** Deliver analytics capabilities and optimize system performance
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**Sprint Backlog:**
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- User Story 4.1: Progress Analytics Dashboard (8 points)
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- User Story 4.2: Performance Optimization & Scaling (5 points)
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- Technical debt and polish items (5 points)
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**Sprint Deliverables:**
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- Comprehensive analytics dashboard
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- Performance optimizations for scale
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- Production-ready system with monitoring
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**Definition of Ready:**
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- [ ] Analytics requirements defined with stakeholders
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- [ ] Performance benchmarks established
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- [ ] Production deployment plan prepared
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**Definition of Done:**
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- [ ] Analytics provide actionable insights
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- [ ] System performance meets all targets
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- [ ] Production deployment successful
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## Release Planning
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### Release 1.0: MVP (End of Sprint 2)
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**Features:**
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- Core task management with web UI
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- AI-powered task creation
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- Basic Claude Code agent integration
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**Success Criteria:**
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- 50+ tasks created through web interface
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- 80% of tasks created using AI assistance
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- Agents successfully using task context
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### Release 2.0: Workflow Integration (End of Sprint 3)
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**Features:**
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- BMad methodology support
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- Task Master bidirectional sync
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- Team collaboration capabilities
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**Success Criteria:**
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- BMad workflows fully supported
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- 100% sync reliability with Task Master
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- Team collaboration actively used
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### Release 3.0: Enterprise Features (End of Sprint 4)
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**Features:**
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- Advanced analytics dashboard
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- Performance optimizations
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- Full production deployment
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**Success Criteria:**
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- Analytics driving project decisions
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- System handling 10,000+ tasks efficiently
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- 99.9% system availability
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## Story Estimation & Velocity
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### Story Point Scale (Fibonacci)
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- **1 Point**: Simple configuration or minor UI change
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- **2 Points**: Basic CRUD operation implementation
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- **3 Points**: Moderate complexity feature with some integration
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- **5 Points**: Complex feature requiring multiple components
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- **8 Points**: Major feature with significant integration requirements
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- **13 Points**: Epic-level feature requiring multiple sprint cycles
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### Estimated Team Velocity
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- **Sprint Capacity**: 18 story points per 2-week sprint
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- **Team Size**: 1-2 developers
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- **Experience Level**: High with existing codebase and tools
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- **Risk Buffer**: 20% capacity reserved for unexpected complexity
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### Dependencies & Risks
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**Inter-Sprint Dependencies:**
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- Sprint 2 depends on Sprint 1 foundation
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- Sprint 3 Task Master sync requires Sprint 1 data models
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- Sprint 4 analytics require Sprint 2-3 data generation
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**Key Risks:**
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- **Task Master Integration Complexity**: May require additional sprint time
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- **AI Service Reliability**: Backup plans needed for AI failures
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- **Directus Performance**: May need additional optimization work
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- **Team Capacity**: Single-person development may impact velocity
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**Mitigation Strategies:**
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- **Early Proof of Concepts**: Validate complex integrations early
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- **Incremental Delivery**: Each sprint delivers working features
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- **Fallback Plans**: Manual processes available if automation fails
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- **External Help**: Consider additional development resources if needed
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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. |