bmad-method-mcp
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Breakthrough Method of Agile AI-driven Development with Enhanced MCP Integration
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Markdown
# Close Sprint Task (MCP Enhanced)
## Purpose
Systematic sprint closure process that reviews goal achievement, analyzes completed work, captures lessons learned, and prepares for the next sprint. This ensures continuous improvement and proper sprint lifecycle management.
## CRITICAL WORKFLOW RULE
**MANDATORY SPRINT CLOSURE**: Before starting a new sprint, the current sprint must be properly closed with goal assessment and retrospective analysis.
## SEQUENTIAL Task Execution (Do not proceed until current Task is complete)
### 0. Verify Current Sprint Status
**Sprint Status Check:**
1. **Get Current Sprint:** Use `bmad_get_current_sprint` to verify active sprint:
- If no active sprint: Display message "No active sprint to close" and exit
- If active sprint exists: Proceed with closure process
2. **Sprint Timeline Check:** Verify sprint completion:
- Check if sprint end date has passed
- If sprint is ending early: Ask user for reason and confirmation
- Display current date vs planned end date
### 1. Sprint Goal Achievement Analysis
#### 1.1 Goal Assessment
**Sprint Goal Review:**
1. **Display Sprint Information:**
```
š SPRINT CLOSURE REVIEW š
Sprint: ${sprint_name}
Goal: ${sprint_goal}
Duration: ${start_date} to ${end_date}
Planned Stories: ${planned_story_count}
```
2. **Goal Achievement Evaluation:** Ask user to assess:
```
Sprint Goal Achievement Assessment:
Original Goal: "${sprint_goal}"
Goal Achievement Level:
1. Fully Achieved (100%) - Goal completely met
2. Mostly Achieved (75-99%) - Goal substantially met
3. Partially Achieved (50-74%) - Goal partially met
4. Minimally Achieved (25-49%) - Goal barely met
5. Not Achieved (0-24%) - Goal not met
Please select level and provide explanation:
```
#### 1.2 Story Completion Analysis
**Sprint Backlog Review:**
1. **Get Sprint Tasks:** Use `bmad_query_tasks` with sprint filter:
- Query all tasks assigned to current sprint
- Count completed vs planned stories
- Identify incomplete stories
2. **Completion Metrics Display:**
```
š SPRINT COMPLETION METRICS š
Stories Completed: ${completed_count} / ${total_count}
Completion Rate: ${completion_percentage}%
Completed Stories:
${list_completed_stories}
Incomplete Stories:
${list_incomplete_stories}
```
3. **Incomplete Story Handling:** For each incomplete story:
```
Incomplete Story: ${story_title}
Current Status: ${current_status}
Action for this story:
1. Move to next sprint (recommended)
2. Mark as completed (if nearly done)
3. Cancel/remove from backlog
4. Keep in current sprint (extend sprint)
```
### 2. Sprint Retrospective
#### 2.1 What Went Well
**Success Factors Analysis:**
1. **Positive Outcomes:** Ask user to identify:
```
š What went well in this sprint?
Categories to consider:
- Story completion and quality
- Team collaboration and communication
- Process improvements and efficiency
- Technical achievements and learnings
- Goal alignment and focus
Please list 3-5 things that went well:
```
2. **Success Pattern Recognition:** Help identify repeatable patterns:
- What processes contributed to success?
- Which practices should be continued?
- What tools or techniques were most effective?
#### 2.2 What Could Be Improved
**Improvement Opportunities:**
1. **Challenge Analysis:** Ask user to identify:
```
š§ What could be improved for next sprint?
Categories to consider:
- Sprint planning and estimation
- Story definition and clarity
- Development process and workflow
- Communication and coordination
- Technical debt and quality
Please list 3-5 improvement opportunities:
```
2. **Root Cause Analysis:** For each improvement area:
- What was the underlying cause?
- How can this be prevented in future sprints?
- What specific actions should be taken?
#### 2.3 Action Items for Next Sprint
**Continuous Improvement Planning:**
1. **Improvement Actions:** Create specific, actionable items:
```
šÆ Actions for Next Sprint:
Based on retrospective analysis:
1. [Specific action item 1]
2. [Specific action item 2]
3. [Specific action item 3]
Process Changes:
- [Process change 1]
- [Process change 2]
Tools/Techniques to Try:
- [New tool/technique 1]
- [New tool/technique 2]
```
### 3. Sprint Metrics and Learning Capture
#### 3.1 Sprint Velocity Calculation
**Performance Metrics:**
1. **Calculate Sprint Velocity:** Use completion data:
```
š SPRINT VELOCITY METRICS š
Stories Completed: ${completed_stories}
Sprint Duration: ${duration_weeks} weeks
Sprint Velocity: ${stories_per_week} stories/week
Historical Comparison:
Previous Sprint Velocity: ${previous_velocity}
Velocity Change: ${velocity_change} (+/- ${percentage}%)
```
2. **Velocity Trend Analysis:**
- Is velocity increasing, decreasing, or stable?
- What factors influenced velocity changes?
- What does this suggest for future sprint planning?
#### 3.2 Documentation Creation
**Sprint Closure Documentation:**
1. **Create Sprint Review Document:** Use `bmad_create_document`:
```json
{
"type": "sprint-review",
"title": "Sprint ${sprint_num} Review - ${sprint_name}",
"content": {
"sprint_info": {
"name": "${sprint_name}",
"goal": "${sprint_goal}",
"duration": "${start_date} to ${end_date}"
},
"goal_achievement": {
"level": "${achievement_level}",
"explanation": "${achievement_explanation}"
},
"completion_metrics": {
"planned_stories": ${planned_count},
"completed_stories": ${completed_count},
"completion_rate": "${completion_percentage}%",
"velocity": "${sprint_velocity}"
},
"retrospective": {
"went_well": ["${item1}", "${item2}", "${item3}"],
"improvements": ["${item1}", "${item2}", "${item3}"],
"action_items": ["${action1}", "${action2}"]
},
"incomplete_stories": ["${story1}", "${story2}"],
"lessons_learned": "${lessons_text}"
}
}
```
### 4. Sprint Status Update and Closure
#### 4.1 Handle Incomplete Stories
**Story Transition Management:**
1. **Process Incomplete Stories:** For each incomplete story:
- Update story status if moving to next sprint
- Add notes explaining why story wasn't completed
- Estimate remaining effort for next sprint planning
2. **Use MCP Tools for Updates:**
```json
bmad_update_task_status:
{
"task_id": "${story_id}",
"status": "TODO",
"notes": "Moved from Sprint ${current_sprint} - ${reason}",
"sprint_id": null
}
```
#### 4.2 Close Sprint Officially
**Sprint Closure Process:**
1. **Update Sprint Status:** Use `bmad_update_sprint_status`:
```json
{
"sprint_id": "${current_sprint_id}",
"status": "COMPLETED",
"end_date": "${actual_end_date}",
"goal_achievement": "${achievement_level}",
"completion_rate": "${completion_percentage}%",
"velocity": "${sprint_velocity}",
"lessons_learned": "${retrospective_summary}"
}
```
2. **Verify Closure:** Use `bmad_get_current_sprint` to confirm:
- Sprint status changed to COMPLETED
- No longer shows as current/active sprint
- All data properly recorded
### 5. Next Sprint Preparation
#### 5.1 Learning Integration
**Apply Lessons Learned:**
1. **Update Sprint Process:** Based on retrospective:
- Adjust story estimation techniques
- Modify sprint planning approach
- Update definition of done if needed
- Refine communication practices
2. **Capacity Planning for Next Sprint:**
- Use current sprint velocity for estimation
- Account for team availability changes
- Consider process improvements impact
- Plan for technical debt reduction
#### 5.2 Backlog Preparation
**Next Sprint Setup:**
1. **Backlog Refinement:** Prepare for next sprint:
- Move incomplete stories to backlog
- Prioritize stories based on current sprint learnings
- Estimate new stories using updated velocity data
- Identify dependencies and risks
2. **Sprint Planning Readiness:**
```
š READY FOR NEXT SPRINT PLANNING š
Current Status:
ā
Sprint ${current_sprint} closed successfully
ā
Lessons learned documented
ā
Incomplete stories moved to backlog
ā
Sprint velocity calculated: ${velocity}
Next Sprint Recommendations:
- Target Velocity: ${recommended_velocity} stories
- Focus Areas: ${focus_areas}
- Process Improvements: ${improvements}
Ready to run: *start-sprint command
```
### 6. Sprint Closure Summary
#### 6.1 Final Sprint Report
**Comprehensive Sprint Summary:**
```
š SPRINT ${sprint_num} CLOSURE COMPLETE š
Sprint Overview:
⢠Name: ${sprint_name}
⢠Goal: ${sprint_goal}
⢠Duration: ${duration} (${start_date} to ${end_date})
Achievement Summary:
⢠Goal Achievement: ${achievement_level}
⢠Stories Completed: ${completed_count}/${planned_count} (${completion_rate}%)
⢠Sprint Velocity: ${velocity} stories/week
Key Outcomes:
⢠Deliverables: ${key_deliverables}
⢠Technical Achievements: ${technical_wins}
⢠Process Learnings: ${process_insights}
Next Steps:
⢠Action Items: ${action_count} items for next sprint
⢠Process Changes: ${process_changes}
⢠Backlog Ready: ${backlog_ready_count} stories
Status: ā
Sprint Officially Closed
Next: Ready for new sprint planning
```
## Integration with Sprint Lifecycle
### Workflow Enforcement
After sprint closure:
1. **Block Story Creation:** Until new sprint starts, prevent story creation
2. **Update Task Board:** Clear current sprint filter, show "No Active Sprint"
3. **Update Dashboard:** Show sprint completion metrics
4. **Prepare Planning:** Make retrospective data available for next sprint planning
### Continuous Improvement Loop
1. **Velocity Tracking:** Each closed sprint contributes to velocity history
2. **Pattern Recognition:** Multiple sprint retrospectives reveal systemic issues
3. **Process Evolution:** Sprint closure insights drive workflow improvements
4. **Quality Metrics:** Track goal achievement rates over multiple sprints
## MCP Tools Reference
### Required Tools:
- `bmad_get_current_sprint` - Get active sprint information
- `bmad_query_tasks` - Get sprint tasks and completion status
- `bmad_update_sprint_status` - Close sprint and record outcomes
- `bmad_update_task_status` - Handle incomplete stories
- `bmad_create_document` - Store sprint review and retrospective
- `bmad_get_sprint_history` - Access previous sprint data for comparison
### Sprint Closure Resources:
- `bmad://sprints/current/review` - Current sprint review data
- `bmad://sprints/history` - All completed sprints for velocity trends
- `bmad://project/velocity` - Project velocity trends and patterns
- `bmad://retrospectives/all` - All retrospective data for pattern analysis
## Success Criteria for Sprint Closure
1. **Complete Goal Assessment:** Clear evaluation of goal achievement
2. **Thorough Retrospective:** Honest analysis of what worked and what didn't
3. **Actionable Improvements:** Specific items to implement in next sprint
4. **Clean Story Transition:** All incomplete stories properly handled
5. **Accurate Documentation:** Complete sprint record for future reference
6. **Velocity Calculation:** Reliable data for future sprint planning
7. **Team Learning:** Captured insights that improve future performance
This systematic approach to sprint closure ensures that each sprint contributes to continuous improvement and that the team learns from both successes and challenges.