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ColaFlow/docs/Sprint-Plan.md
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ColaFlow Sprint Plan

Version: 1.0 Date: 2025-11-02 Planning Period: 48 weeks (12 months) Sprint Duration: 2 weeks Total Sprints: 24


Sprint Planning Methodology

Sprint Structure

  • Duration: 2 weeks (10 working days)
  • Capacity: Based on team velocity and availability
  • Ceremonies:
    • Sprint Planning (Day 1): 2-4 hours
    • Daily Standup: 15 minutes daily
    • Sprint Review (Last day): 1-2 hours
    • Sprint Retrospective (Last day): 1 hour

Team Velocity Assumptions

  • Initial Velocity: 20-25 story points per sprint (to be calibrated)
  • Expected Growth: 10-15% improvement by M3
  • Stabilized Velocity: 30-35 points by M6

Definition of Done (DoD)

  • Code is written and reviewed
  • Unit tests written and passing (>80% coverage)
  • Integration tests passing
  • Documentation updated
  • Acceptance criteria met
  • QA tested and approved
  • Deployed to staging environment

M1: Core Project Management Module (Sprints 1-4)

Sprint 1: Project Foundation

Duration: Weeks 1-2 Team: 2 Backend, 1 Frontend, 1 QA, 1 Architect (part-time) Velocity Target: 20 points Sprint Goal: Establish project structure and basic CRUD for projects

Stories

  1. Story 1.1.1: Create Project Entity Model (5 points)

    • T1.1.1.1-7: Database schema, API, tests
    • Owner: Backend Team
    • Dependencies: None
  2. Story 1.1.2: Create Epic/Story/Task Hierarchy (8 points)

    • T1.1.2.1-5: Schema design, hierarchy validation
    • Owner: Backend Team
    • Dependencies: Story 1.1.1
  3. Setup: Development Environment (3 points)

    • Repository setup
    • CI/CD pipeline
    • Docker configuration
    • Owner: Backend Team
  4. Setup: Frontend Boilerplate (4 points)

    • React + TypeScript setup
    • Component library integration
    • Routing and state management
    • Owner: Frontend Team

Deliverables

  • Project CRUD API functional
  • Basic hierarchy model implemented
  • Development environment ready
  • Frontend framework configured

Risks

  • Team onboarding delays
  • Technology stack learning curve
  • Infrastructure setup complexity

Sprint 2: Hierarchy & Workflows

Duration: Weeks 3-4 Velocity Target: 22 points Sprint Goal: Complete issue hierarchy and implement workflow system

Stories

  1. Story 1.1.2: Create Epic/Story/Task Hierarchy (continued) (5 points)

    • T1.1.2.6-8: Move functionality, tests, indexing
    • Owner: Backend Team
  2. Story 1.1.3: Custom Fields Support (5 points)

    • T1.1.3.1-7: Custom field schema and validation
    • Owner: Backend Team
  3. Story 1.2.1: Default Workflow Implementation (6 points)

    • T1.2.1.1-6: Workflow engine, status transitions
    • Owner: Backend Team
  4. Frontend: Project List & Create Form (6 points)

    • Project listing page
    • Create project modal
    • Form validation
    • Owner: Frontend Team

Deliverables

  • Complete hierarchy with 4 levels (Epic/Story/Task/Sub-task)
  • Custom fields functional
  • Default workflow operational
  • Project management UI

Risks

  • Hierarchy validation complexity
  • Custom field performance concerns

Sprint 3: Custom Workflows & Kanban Foundation

Duration: Weeks 5-6 Velocity Target: 24 points Sprint Goal: Enable workflow customization and begin Kanban UI

Stories

  1. Story 1.2.2: Custom Workflow Configuration (8 points)

    • T1.2.2.1-7: Workflow builder, migration logic
    • Owner: Backend Team
  2. Story 1.3.1: Basic Kanban Board Display (8 points)

    • T1.3.1.1-8: Board components, filtering, search
    • Owner: Frontend Team
  3. Story 1.4.1: Comprehensive Change Tracking (start) (5 points)

    • T1.4.1.1-4: Audit log schema and basic logging
    • Owner: Backend Team
  4. Testing: Integration Test Suite (3 points)

    • Setup integration test framework
    • Core API endpoint tests
    • Owner: QA

Deliverables

  • Workflow customization UI and backend
  • Kanban board displays issues
  • Audit logging captures changes
  • Integration tests running in CI/CD

Risks

  • Workflow migration complexity
  • Kanban performance with many issues

Sprint 4: Kanban Interactions & Audit Complete

Duration: Weeks 7-8 Velocity Target: 25 points Sprint Goal: Complete Kanban drag-and-drop and audit/rollback features

Stories

  1. Story 1.3.2: Drag-and-Drop Functionality (8 points)

    • T1.3.2.1-8: react-beautiful-dnd integration, mobile support
    • Owner: Frontend Team
  2. Story 1.4.1: Comprehensive Change Tracking (complete) (5 points)

    • T1.4.1.5-8: Query API, filters, retention policies
    • Owner: Backend Team
  3. Story 1.4.2: Rollback Capability (8 points)

    • T1.4.2.1-8: Rollback service, UI, conflict detection
    • Owner: Backend + Frontend Teams
  4. Testing: M1 QA & Bug Fixes (4 points)

    • Full regression testing
    • Performance testing
    • Bug fixes
    • Owner: QA + All Teams

Deliverables

  • Fully functional Kanban with drag-and-drop
  • Complete audit trail with rollback
  • M1 features tested and stable
  • M1 milestone complete

M1 Retrospective

  • Review velocity and adjust for M2
  • Identify process improvements
  • Celebrate M1 completion

M2: MCP Server Implementation (Sprints 5-8)

Sprint 5: MCP Foundation & Authentication

Duration: Weeks 9-10 Team: 2 Backend, 1 Frontend, 1 AI Engineer, 1 QA Velocity Target: 25 points Sprint Goal: Setup MCP server infrastructure with security

Stories

  1. Story 2.1.1: MCP Server Setup & Configuration (6 points)

    • T2.1.1.1-8: MCP SDK integration, connection handling
    • Owner: Backend Team
  2. Story 2.1.2: Authentication & Authorization for MCP (8 points)

    • T2.1.2.1-8: Token management, rate limiting, admin UI
    • Owner: Backend + Frontend Teams
  3. Story 2.2.1: Implement projects.search Resource (5 points)

    • T2.2.1.1-7: Resource provider, permissions
    • Owner: Backend Team
  4. AI Engineer Onboarding (3 points)

    • MCP protocol training
    • Codebase familiarization
    • AI integration planning
    • Owner: Architect + AI Engineer
  5. Documentation: MCP Architecture (3 points)

    • Architecture diagrams
    • Security model documentation
    • Owner: Architect

Deliverables

  • MCP server running and connectable
  • Token-based authentication working
  • First MCP resource functional
  • AI engineer onboarded

Risks

  • MCP SDK learning curve
  • Security implementation complexity

Sprint 6: MCP Resources Complete

Duration: Weeks 11-12 Velocity Target: 26 points Sprint Goal: Expose all read-only MCP resources

Stories

  1. Story 2.2.2: Implement issues.search Resource (8 points)

    • T2.2.2.1-8: Complex query parser, pagination, related entities
    • Owner: Backend Team
  2. Story 2.2.3: Implement Additional Resources (10 points)

    • T2.2.3.1-7: docs, reports, sprints, backlogs resources
    • Owner: Backend Team
  3. Testing: MCP Resource Integration Tests (5 points)

    • Test all resources via MCP client
    • Performance testing for resources
    • Owner: QA + AI Engineer
  4. Frontend: Token Management UI (3 points)

    • Token list view
    • Create/revoke token functionality
    • Owner: Frontend Team

Deliverables

  • All planned MCP resources implemented
  • Resources tested and documented
  • Token management UI complete
  • MCP catalog published

Risks

  • Complex query parsing for issues.search
  • Performance optimization needs

Sprint 7: Diff Preview System & First Tools

Duration: Weeks 13-14 Velocity Target: 28 points Sprint Goal: Implement diff preview mechanism and first MCP tools

Stories

  1. Story 2.3.1: Implement Diff Preview System (10 points)

    • T2.3.1.1-8: Diff generation, storage, approval flow
    • Owner: Backend Team
  2. Story 2.3.2: Implement create_issue Tool (6 points)

    • T2.3.2.1-8: Tool provider, validation, diff integration
    • Owner: Backend Team
  3. Story 2.3.3: Implement update_status Tool (5 points)

    • T2.3.3.1-8: Status change tool with workflow validation
    • Owner: Backend Team
  4. Story 2.4.1: Diff Review Interface (start) (7 points)

    • T2.4.1.1-5: List view, detail view, comparison UI
    • Owner: Frontend Team

Deliverables

  • Diff preview system operational
  • First two MCP tools functional
  • Diff review UI in progress
  • Write operations require approval

Risks

  • Diff algorithm complexity
  • UI/UX for diff review

Sprint 8: Complete AI Control Console

Duration: Weeks 15-16 Velocity Target: 29 points Sprint Goal: Finish all MCP tools and AI control console

Stories

  1. Story 2.3.4: Implement Additional Tools (8 points)

    • T2.3.4.1-7: assign_task, log_decision, generate_report, estimate_task
    • Owner: Backend Team
  2. Story 2.4.1: Diff Review Interface (complete) (6 points)

    • T2.4.1.6-8: Batch operations, real-time updates, tests
    • Owner: Frontend Team
  3. Story 2.4.2: AI Activity Dashboard (8 points)

    • T2.4.2.1-7: Analytics API, charts, metrics
    • Owner: Backend + Frontend Teams
  4. Testing: M2 End-to-End Tests (5 points)

    • Full MCP flow testing
    • Security testing
    • Bug fixes
    • Owner: QA + All Teams
  5. Documentation: MCP Integration Guide (2 points)

    • How to connect AI tools
    • Example workflows
    • Owner: AI Engineer

Deliverables

  • All MCP tools implemented
  • AI control console complete
  • M2 features tested and stable
  • M2 milestone complete

M2 Retrospective

  • Evaluate MCP implementation
  • Adjust velocity for M3
  • Plan ChatGPT integration approach

M3: ChatGPT Integration PoC (Sprints 9-12)

Sprint 9: AI Task Generation Foundation

Duration: Weeks 17-18 Team: 1 Backend, 1 Frontend, 1 AI Engineer, 1 QA Velocity Target: 28 points Sprint Goal: Implement AI-powered task generation

Stories

  1. Story 3.1.1: Natural Language Task Creation (10 points)

    • T3.1.1.1-8: OpenAI integration, prompt templates, task generation UI
    • Owner: AI Engineer + Backend + Frontend Teams
  2. Story 3.1.2: Automatic Acceptance Criteria Generation (8 points)

    • T3.1.2.1-8: AC generation service, feedback mechanism
    • Owner: AI Engineer + Backend Teams
  3. Prompt Engineering: Template Library (5 points)

    • Design prompt templates
    • Test and refine prompts
    • Documentation
    • Owner: AI Engineer
  4. Testing: AI Generation Quality (5 points)

    • Test generation accuracy
    • Edge case handling
    • Owner: QA + AI Engineer

Deliverables

  • Task generation from natural language
  • AC generation working
  • Prompt templates documented
  • Quality metrics established

Risks

  • AI output quality variability
  • Prompt engineering complexity
  • OpenAI API costs

Sprint 10: Automated Reporting

Duration: Weeks 19-20 Velocity Target: 29 points Sprint Goal: Build AI-generated reports and summaries

Stories

  1. Story 3.2.1: Daily Standup Report Generation (10 points)

    • T3.2.1.1-8: Report aggregation, scheduling, Slack/email delivery
    • Owner: Backend + AI Engineer Teams
  2. Story 3.2.2: AI-Generated Risk Reports (10 points)

    • T3.2.2.1-8: Risk analysis, alerting, dashboard
    • Owner: Backend + Frontend + AI Engineer Teams
  3. Frontend: Report Templates UI (5 points)

    • Report viewer
    • Template customization
    • Owner: Frontend Team
  4. Integration: Slack Preparation (4 points)

    • Slack app registration
    • Initial integration setup
    • Owner: Backend Team

Deliverables

  • Automated daily reports
  • Risk detection and reporting
  • Report UI complete
  • Slack integration ready for M4

Risks

  • Report quality and accuracy
  • False positive risk alerts

Sprint 11: ChatGPT Custom GPT Setup

Duration: Weeks 21-22 Velocity Target: 30 points Sprint Goal: Create and configure ColaFlow GPT

Stories

  1. Story 3.3.1: ColaFlow GPT Configuration (10 points)

    • T3.3.1.1-8: GPT creation, MCP connection, testing, documentation
    • Owner: AI Engineer
  2. Story 3.3.2: Conversational Project Management (12 points)

    • T3.3.2.1-8: Conversation flows, context management, testing
    • Owner: AI Engineer
  3. Testing: GPT User Acceptance (5 points)

    • Internal user testing
    • Conversation quality evaluation
    • Feedback collection
    • Owner: QA + All Team Members
  4. Documentation: GPT User Guide (3 points)

    • Setup instructions
    • Example conversations
    • Best practices
    • Owner: AI Engineer

Deliverables

  • ColaFlow GPT live and functional
  • Conversational interface working
  • User documentation complete
  • Internal users testing GPT

Risks

  • GPT configuration limitations
  • Conversation quality issues
  • MCP connection stability

Sprint 12: M3 Polish & Integration Testing

Duration: Weeks 23-24 Velocity Target: 25 points Sprint Goal: Refine AI features and complete M3 testing

Stories

  1. AI Feature Refinement (8 points)

    • Improve prompt quality based on feedback
    • Optimize AI response times
    • Enhance error handling
    • Owner: AI Engineer
  2. Integration Testing: End-to-End Workflows (10 points)

    • Test complete workflows (idea → GPT → tasks → reports)
    • Performance testing with AI operations
    • Bug fixes
    • Owner: QA + All Teams
  3. Documentation: AI Best Practices (4 points)

    • Prompt engineering guide
    • AI operation patterns
    • Troubleshooting guide
    • Owner: AI Engineer
  4. Demo Preparation (3 points)

    • Create demo scenarios
    • Prepare presentation
    • Record demo video
    • Owner: PM + Team

Deliverables

  • AI features polished and stable
  • M3 fully tested
  • Documentation complete
  • M3 milestone complete
  • Demo ready for stakeholders

M3 Retrospective

  • Evaluate AI integration success
  • Gather user feedback
  • Plan M4 external integrations

M4: External System Integration (Sprints 13-16)

Sprint 13: GitHub Integration Foundation

Duration: Weeks 25-26 Team: 2 Backend, 1 Frontend, 1 QA Velocity Target: 30 points Sprint Goal: Implement GitHub OAuth and PR linking

Stories

  1. Story 4.1.1: GitHub OAuth & Repository Connection (8 points)

    • T4.1.1.1-7: OAuth flow, repository selection, configuration
    • Owner: Backend + Frontend Teams
  2. Story 4.1.2: PR → Task Linking (10 points)

    • T4.1.2.1-8: Webhook handler, auto-linking, status sync
    • Owner: Backend + Frontend Teams
  3. Story 4.1.3: Branch & Commit Tracking (8 points)

    • T4.1.3.1-8: Commit webhooks, timeline UI, diff viewer
    • Owner: Backend + Frontend Teams
  4. Testing: GitHub Integration (4 points)

    • Test webhook reliability
    • Test auto-linking accuracy
    • Owner: QA

Deliverables

  • GitHub repositories connected
  • PR-task linking functional
  • Commit tracking operational
  • Integration tested

Risks

  • GitHub API rate limits
  • Webhook delivery reliability
  • GitHub Enterprise compatibility

Sprint 14: Slack Integration

Duration: Weeks 27-28 Velocity Target: 31 points Sprint Goal: Complete Slack app with notifications and commands

Stories

  1. Story 4.2.1: Slack App & Bot Setup (7 points)

    • T4.2.1.1-7: App creation, OAuth, bot configuration
    • Owner: Backend + Frontend Teams
  2. Story 4.2.2: Task Notifications in Slack (10 points)

    • T4.2.2.1-7: Notification events, formatting, preferences
    • Owner: Backend + Frontend Teams
  3. Story 4.2.3: Slash Commands in Slack (10 points)

    • T4.2.3.1-7: Command registration, handlers, permissions
    • Owner: Backend Team
  4. Testing: Slack Integration (4 points)

    • Test all notification types
    • Test all commands
    • Owner: QA

Deliverables

  • Slack app published
  • Notifications working
  • Slash commands functional
  • Integration tested

Risks

  • Slack API limitations
  • Notification spam concerns
  • Command UX challenges

Sprint 15: Calendar Integration & Polish

Duration: Weeks 29-30 Velocity Target: 30 points Sprint Goal: Add calendar sync and refine all integrations

Stories

  1. Story 4.3.1: Google Calendar Integration (10 points)

    • T4.3.1.1-7: OAuth, event sync, two-way sync, configuration
    • Owner: Backend + Frontend Teams
  2. Integration Polish: GitHub (5 points)

    • Bug fixes from user feedback
    • Performance optimization
    • UX improvements
    • Owner: Backend + Frontend Teams
  3. Integration Polish: Slack (5 points)

    • Notification refinement
    • Command improvements
    • UX enhancements
    • Owner: Backend Team
  4. Frontend: Integration Settings Page (6 points)

    • Unified integration management UI
    • Connection status display
    • Configuration options
    • Owner: Frontend Team
  5. Testing: Multi-Integration Scenarios (4 points)

    • Test interactions between integrations
    • End-to-end workflow testing
    • Owner: QA

Deliverables

  • Calendar integration complete
  • All integrations polished
  • Integration settings UI
  • Multi-integration tested

Risks

  • Calendar sync conflicts
  • Integration interaction issues

Sprint 16: M4 Integration Testing & Documentation

Duration: Weeks 31-32 Velocity Target: 28 points Sprint Goal: Complete M4 testing and prepare for enterprise pilot

Stories

  1. Integration Testing: Complete Workflows (10 points)

    • Test GitHub → Slack → Calendar flows
    • Test AI → GitHub integration
    • Performance testing with integrations
    • Bug fixes
    • Owner: QA + All Teams
  2. Documentation: Integration Guides (8 points)

    • GitHub integration setup guide
    • Slack integration setup guide
    • Calendar integration setup guide
    • Troubleshooting guides
    • Owner: Backend + AI Engineer Teams
  3. Security Audit: OAuth & Webhooks (5 points)

    • Review OAuth implementations
    • Webhook security validation
    • Token management audit
    • Owner: Backend + Architect
  4. Demo: Integration Showcase (5 points)

    • Create demo scenarios
    • Record integration demos
    • Prepare for stakeholder presentation
    • Owner: PM + Team

Deliverables

  • M4 fully tested and stable
  • All integration docs complete
  • Security audit passed
  • M4 milestone complete
  • Ready for enterprise pilot

M4 Retrospective

  • Evaluate integration success
  • Identify scalability concerns
  • Plan enterprise features for M5

M5: Enterprise Pilot (Sprints 17-18)

Sprint 17: Enterprise Features Implementation

Duration: Weeks 33-34 Team: 2 Backend, 1 Frontend, 1 DevOps, 1 QA, 1 PM Velocity Target: 32 points Sprint Goal: Implement SSO, advanced permissions, and compliance

Stories

  1. Story 5.1.1: Single Sign-On (SSO) Support (10 points)

    • T5.1.1.1-7: SAML & OIDC implementation, IdP configuration
    • Owner: Backend + Frontend Teams
  2. Story 5.1.2: Advanced Permission System (10 points)

    • T5.1.2.1-7: Custom roles, field-level permissions, audit
    • Owner: Backend + Frontend Teams
  3. Story 5.1.3: Compliance & Data Privacy (10 points)

    • T5.1.3.1-8: GDPR features, retention policies, encryption verification
    • Owner: Backend + DevOps Teams
  4. Testing: Enterprise Feature Testing (2 points)

    • SSO testing with multiple IdPs
    • Permission testing
    • Owner: QA

Deliverables

  • SSO working with major IdPs
  • Advanced permissions functional
  • GDPR compliance features complete
  • Enterprise features tested

Risks

  • SSO implementation complexity
  • Permission system performance
  • Compliance verification

Sprint 18: Performance Optimization & Pilot Deployment

Duration: Weeks 35-36 Velocity Target: 30 points Sprint Goal: Optimize performance and deploy pilot environment

Stories

  1. Story 5.2.1: Database Optimization (8 points)

    • T5.2.1.1-7: Query optimization, indexing, monitoring
    • Owner: Backend + DevOps Teams
  2. Story 5.2.2: Caching Strategy (7 points)

    • T5.2.2.1-7: Redis caching, invalidation, metrics
    • Owner: Backend Team
  3. Story 5.2.3: Horizontal Scaling (10 points)

    • T5.2.3.1-8: Stateless design, Kubernetes, load balancing
    • Owner: DevOps + Backend Teams
  4. Story 5.3.1: Pilot Environment Setup (5 points)

    • T5.3.1.1-8: Infrastructure provisioning, deployment, monitoring
    • Owner: DevOps Team

Deliverables

  • Performance optimized (meets SLA)
  • Caching implemented and tuned
  • Horizontal scaling ready
  • Pilot environment deployed
  • Ready for user onboarding

Risks

  • Performance tuning complexity
  • Infrastructure costs
  • Deployment issues

M5 Pilot Period (2 weeks)

Pilot Weeks 1-2: User Onboarding & Monitoring

Duration: Weeks 37-38 Activities: User training, feedback collection, bug fixing Team: All hands for support

Activities

  1. Story 5.3.2: User Onboarding & Training

    • Conduct training sessions
    • Provide documentation
    • Setup support channels
    • Owner: PM + All Teams
  2. Story 5.3.3: Feedback Collection & Iteration

    • Daily check-ins with users
    • Bug triage and hot fixes
    • Feature request logging
    • Owner: PM + QA + All Teams

Key Metrics to Track

  • User adoption rate
  • Feature usage statistics
  • Bug report volume and severity
  • User satisfaction scores
  • Performance metrics under real load

Deliverables

  • All pilot users onboarded
  • Daily feedback collected
  • Critical bugs resolved
  • M5 milestone complete
  • Feedback report for M6 planning

M5 Retrospective

  • Analyze pilot success
  • Prioritize M6 improvements
  • Validate launch readiness

M6: Stable Release (Sprints 19-24)

Sprint 19: API Documentation & SDK Foundation

Duration: Weeks 39-40 Team: Full team (9 people) Velocity Target: 35 points Sprint Goal: Create comprehensive API docs and begin SDK development

Stories

  1. Story 6.1.1: API Documentation (10 points)

    • T6.1.1.1-8: Swagger setup, documentation generation, examples
    • Owner: Backend + AI Engineer Teams
  2. Story 6.1.2: ColaFlow SDK (TypeScript) (12 points)

    • T6.1.2.1-4: SDK architecture, TypeScript implementation
    • Owner: Backend Team
  3. Frontend: Documentation Portal (8 points)

    • Build documentation website
    • API explorer interface
    • Owner: Frontend Team
  4. Testing: API & SDK Testing (5 points)

    • API documentation accuracy
    • SDK functionality tests
    • Owner: QA

Deliverables

  • Complete API documentation
  • TypeScript SDK functional
  • Documentation portal live
  • API & SDK tested

Risks

  • Documentation completeness
  • SDK API design decisions

Sprint 20: SDK Completion & Developer Portal

Duration: Weeks 41-42 Velocity Target: 35 points Sprint Goal: Complete SDKs and launch developer portal

Stories

  1. Story 6.1.2: ColaFlow SDK (Python) (10 points)

    • T6.1.2.5-8: Python SDK, publishing to PyPI
    • Owner: Backend Team
  2. Story 6.1.3: Developer Portal & Community (12 points)

    • T6.1.3.1-8: Portal website, tutorials, community setup
    • Owner: Frontend + Marketing Teams
  3. Documentation: Developer Guides (8 points)

    • Getting started guide
    • Tutorial series
    • Example projects
    • Owner: Backend + AI Engineer + Marketing Teams
  4. Testing: SDK & Portal Testing (5 points)

    • SDK integration testing
    • Portal UX testing
    • Owner: QA

Deliverables

  • Python SDK published
  • Developer portal launched
  • Comprehensive developer guides
  • Example projects available

Risks

  • SDK adoption challenges
  • Community engagement

Sprint 21: Plugin Architecture

Duration: Weeks 43-44 Velocity Target: 35 points Sprint Goal: Implement plugin system and marketplace foundation

Stories

  1. Story 6.2.1: Plugin System Design (15 points)

    • T6.2.1.1-8: Plugin architecture, loader, sandbox, registry
    • Owner: Backend + Architect Teams
  2. Story 6.2.2: Plugin Marketplace (Backend) (10 points)

    • T6.2.2.1-4: Plugin listing API, search, ratings backend
    • Owner: Backend Team
  3. Frontend: Plugin Marketplace UI (7 points)

    • Plugin browse and search
    • Installation flow
    • Owner: Frontend Team
  4. Testing: Plugin System Testing (3 points)

    • Plugin loading tests
    • Security testing
    • Owner: QA

Deliverables

  • Plugin system operational
  • Marketplace backend ready
  • Marketplace UI functional
  • Plugin system tested

Risks

  • Plugin security vulnerabilities
  • Plugin API stability

Sprint 22: Plugin Marketplace & Official Plugins

Duration: Weeks 45-46 Velocity Target: 33 points Sprint Goal: Complete marketplace and create official plugins

Stories

  1. Story 6.2.2: Plugin Marketplace (Complete) (8 points)

    • T6.2.2.5-8: Updates, security review, publishing
    • Owner: Backend + Frontend Teams
  2. Official Plugins Development (15 points)

    • GitHub enhanced integration plugin
    • Jira import plugin
    • Export/backup plugin
    • Owner: Backend Team
  3. Documentation: Plugin Developer Guide (7 points)

    • Plugin development guide
    • API reference
    • Example plugins
    • Owner: Backend + Marketing Teams
  4. Testing: Plugin Quality Assurance (3 points)

    • Test official plugins
    • Marketplace testing
    • Owner: QA

Deliverables

  • Marketplace fully functional
  • 3+ official plugins published
  • Plugin developer docs complete
  • Plugins tested and approved

Risks

  • Plugin development complexity
  • Marketplace stability

Sprint 23: Comprehensive Testing & Bug Bash

Duration: Weeks 47-48 Velocity Target: 30 points Sprint Goal: Complete all testing and fix critical bugs

Stories

  1. Story 6.3.1: Comprehensive Testing & Bug Fixes (20 points)

    • T6.3.1.1-8: All testing types, bug fixes
    • Owner: QA + All Teams
  2. Security Audit & Penetration Testing (5 points)

    • Third-party security audit
    • Vulnerability fixes
    • Owner: DevOps + Backend Teams
  3. Performance Tuning (5 points)

    • Final performance optimization
    • Load testing at scale
    • Owner: Backend + DevOps Teams

Deliverables

  • All critical bugs resolved
  • Security audit passed
  • Performance optimized
  • Production ready

Risks

  • Unexpected critical bugs
  • Security vulnerabilities
  • Performance bottlenecks

Sprint 24: Launch Preparation & Marketing

Duration: Weeks 49-50 Velocity Target: 25 points Sprint Goal: Finalize launch materials and execute launch

Stories

  1. Story 6.3.2: Marketing & Launch Materials (15 points)

    • T6.3.2.1-8: Website, demo video, blog, social media, press kit
    • Owner: Marketing + Frontend Teams
  2. Story 6.3.3: Launch & Post-Launch Support (10 points)

    • T6.3.3.1-8: Launch checklist, announcement, monitoring
    • Owner: PM + All Teams

Launch Week Activities

  • Day 1: Soft launch to pilot users
  • Day 2: Launch announcement on social media
  • Day 3: Product Hunt launch
  • Day 4: Blog post and press outreach
  • Day 5: Webinar/demo session
  • Days 6-7: Monitor feedback and metrics

Deliverables

  • Product website live
  • Demo video published
  • Launch announcement executed
  • Support channels operational
  • ColaFlow M6 launched!

Post-Launch (Weeks 51-52)

  • Monitor launch metrics
  • Respond to user feedback
  • Hot fixes as needed
  • Prepare post-launch report

M6 Retrospective & Project Celebration

  • Review entire project journey
  • Analyze launch success
  • Celebrate team achievements
  • Plan future roadmap

Resource Allocation Summary

Team Composition by Milestone

Role M1 M2 M3 M4 M5 M6
Product Manager 0.5 0.5 0.5 0.5 1.0 1.0
Architect 0.5 0.3 0.2 0.2 0.3 0.5
Backend Engineers 2.0 2.0 1.0 2.0 2.0 2.0
Frontend Engineers 1.0 1.0 1.0 1.0 1.0 1.0
AI Engineer - 1.0 1.0 - - 0.5
QA Engineer 1.0 1.0 1.0 1.0 1.0 1.0
DevOps Engineer - - - - 1.0 1.0
Marketing - - - - - 1.0
Total FTE 5.0 5.8 4.7 4.7 6.3 8.0

Budget Considerations

Personnel Costs (Estimated):

  • Backend Engineers: $120k-150k/year each
  • Frontend Engineers: $110k-140k/year each
  • AI Engineer: $140k-170k/year
  • DevOps Engineer: $130k-160k/year
  • QA Engineer: $90k-120k/year
  • Product Manager: $130k-160k/year
  • Architect: $150k-180k/year
  • Marketing: $100k-130k/year

Infrastructure Costs:

  • Development environment: $500-1000/month
  • Staging environment: $1000-2000/month
  • Production (pilot): $2000-3000/month
  • Production (launch): $3000-5000/month
  • CI/CD tools: $500/month
  • Monitoring & logging: $500/month

AI API Costs:

  • OpenAI API: $500-2000/month (varies with usage)
  • Anthropic Claude API: $500-2000/month (varies with usage)

Other Costs:

  • Design tools: $200/month
  • Project management tools: $100/month
  • Testing tools: $300/month
  • Domain & SSL: $100/year
  • Third-party services: $500/month

Risk Management Plan

Critical Risks by Milestone

M1 Risks:

  • ⚠️ HIGH: Team onboarding delays → Mitigation: Early hiring, comprehensive onboarding
  • ⚠️ MEDIUM: Database schema changes → Mitigation: Careful design, migration testing
  • ⚠️ LOW: UI/UX challenges → Mitigation: Early prototyping, user feedback

M2 Risks:

  • ⚠️ HIGH: MCP protocol changes → Mitigation: Follow MCP updates, flexible architecture
  • ⚠️ MEDIUM: Security vulnerabilities → Mitigation: Security reviews, penetration testing
  • ⚠️ LOW: Performance issues → Mitigation: Early performance testing

M3 Risks:

  • ⚠️ HIGH: AI output quality → Mitigation: Extensive prompt engineering, testing
  • ⚠️ HIGH: OpenAI API costs → Mitigation: Cost monitoring, usage optimization
  • ⚠️ MEDIUM: GPT configuration limitations → Mitigation: Explore alternatives

M4 Risks:

  • ⚠️ MEDIUM: GitHub API rate limits → Mitigation: Caching, request optimization
  • ⚠️ MEDIUM: Integration reliability → Mitigation: Retry mechanisms, error handling
  • ⚠️ LOW: Third-party API changes → Mitigation: Version pinning, monitoring

M5 Risks:

  • ⚠️ HIGH: Pilot user adoption → Mitigation: Excellent onboarding, support
  • ⚠️ MEDIUM: Performance at scale → Mitigation: Load testing, optimization
  • ⚠️ MEDIUM: Security compliance → Mitigation: External audit, documentation

M6 Risks:

  • ⚠️ HIGH: Launch timing delays → Mitigation: Buffer time, phased launch
  • ⚠️ MEDIUM: Plugin ecosystem adoption → Mitigation: Official plugins, marketing
  • ⚠️ LOW: Documentation completeness → Mitigation: Continuous documentation

Success Criteria by Milestone

M1 Success Criteria

Complete project hierarchy (Epic/Story/Task/Sub-task) Functional Kanban board with drag-and-drop Workflow system with customization Audit log and rollback capability All M1 stories complete and tested

M2 Success Criteria

MCP server running and secure All planned resources and tools exposed Diff preview system operational AI control console functional Successfully tested with MCP client

M3 Success Criteria

AI task generation working Automated reporting functional ColaFlow GPT live and usable Internal team using AI features Positive feedback on AI capabilities

M4 Success Criteria

GitHub integration complete and stable Slack integration functional Calendar sync working All integrations documented Multi-integration workflows tested

M5 Success Criteria

Enterprise features implemented (SSO, permissions, compliance) Performance optimized (meets SLA) Pilot deployment successful User feedback collected and analyzed Ready for public launch

M6 Success Criteria

Complete API documentation and SDKs Plugin system and marketplace live All testing passed (functional, security, performance) Marketing materials ready Successful public launch Post-launch metrics tracking


Sprint Cadence & Ceremonies

Sprint Planning (Day 1)

  • Review backlog and priorities
  • Estimate stories (planning poker)
  • Commit to sprint goal and stories
  • Create detailed tasks
  • Duration: 2-4 hours

Daily Standup (Every day)

  • What did I do yesterday?
  • What will I do today?
  • Any blockers?
  • Duration: 15 minutes

Sprint Review (Last day PM)

  • Demo completed stories
  • Gather stakeholder feedback
  • Accept/reject stories
  • Duration: 1-2 hours

Sprint Retrospective (Last day EOD)

  • What went well?
  • What could be improved?
  • Action items for next sprint
  • Duration: 1 hour

Backlog Refinement (Mid-sprint)

  • Review and estimate upcoming stories
  • Clarify requirements
  • Identify dependencies
  • Duration: 1-2 hours

Appendix: Sprint Velocity Tracking

Velocity Chart (Planned)

Story Points
40 |                                              ╱─────
35 |                                      ╱───────
30 |                          ╱───────────
25 |          ╱───────────────
20 | ─────────
15 |
10 |
 5 |
   +------------------------------------------------------------
    1   3   5   7   9  11  13  15  17  19  21  23
                        Sprint Number

Velocity Goals

  • Sprints 1-4 (M1): 20-25 points (team forming)
  • Sprints 5-8 (M2): 25-29 points (team norming)
  • Sprints 9-12 (M3): 28-30 points (steady state)
  • Sprints 13-16 (M4): 28-31 points (steady state)
  • Sprints 17-18 (M5): 30-32 points (focused sprint)
  • Sprints 19-24 (M6): 25-35 points (variable for launch activities)

Document Status: Draft - Ready for team review and sprint kickoff

Next Steps:

  1. Review sprint plan with team
  2. Refine estimates based on team input
  3. Set up sprint tracking in project management tool
  4. Begin Sprint 1 planning
  5. Kickoff ColaFlow development!