directus-task-management/planning/05-bmad-user-stories.md

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.