@cloudkinetix/bmad-enhanced
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Cloud-Kinetix enhanced fork of BMAD-METHOD - Breakthrough Method of Agile AI-driven Development with robust versioning and unified validation.
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Markdown
# Generate Learning Report
## Purpose
Aggregate anonymous usage patterns from learning logs to create actionable insights.
## Context
This task reads learning event logs and generates a comprehensive report showing usage patterns, friction points, and improvement opportunities.
## Input Required
- None (reads from existing logs)
## Steps
1. **Check for learning logs**
```bash
ls -la .bmad-workspace/ck-jira-integration/feedback/learning-log-*.md
```
2. **Read and aggregate event data**
- Count event types
- Identify patterns
- Calculate success rates
- Find common friction points
3. **Generate aggregated report**
File: `.bmad-workspace/ck-jira-integration/feedback/jira-expansion-learnings.md`
Content structure:
```markdown
# JIRA Expansion Pack - Usage Learnings
Generated: {{date}}
Sessions Analyzed: {{count}}
## Summary
- Total events logged: {{event_count}}
- Success rate: {{success_percentage}}%
- Most common operations: {{top_3_operations}}
- Average setup time: {{setup_time_range}}
## Observed Patterns
### Setup Experience
- {{setup_success_rate}}% completed setup successfully
- Common friction point: {{top_setup_issue}}
- Most successful method: {{best_setup_approach}}
### Command Usage
- Most confused commands: {{confused_commands}}
- Help frequency: {{help_rate}}
- Discovery patterns: {{how_users_find_features}}
### Sync Operations
- Preview usage: {{preview_percentage}}%
- Bulk sync adoption: {{bulk_usage}}%
- Average items per sync: {{avg_sync_size}}
## Improvement Opportunities
Based on usage patterns:
1. {{suggestion_1}}
2. {{suggestion_2}}
3. {{suggestion_3}}
## Anonymous Event Summary
{{event_summary_table}}
```
4. **Archive old logs** (optional)
- Move logs older than 30 days to archive
- Keep report current and relevant
## Output
- Updated learning report at `.bmad-workspace/ck-jira-integration/feedback/jira-expansion-learnings.md`
- Summary shown to user if requested
## Usage
- Run periodically (weekly/monthly)
- After significant usage (100+ events)
- When user requests feedback summary
- Before expansion pack updates
## Privacy Note
All data remains anonymous and pattern-focused. No personal or project information is included in reports.