Organizing Observatory Panels - Best Practices
Panel Organization Strategies
By Purpose
- Release Analytics: Track release progress and metrics
- Test Execution Monitoring: Monitor test execution progress
- Defect Tracking: Track defects and their status
- Requirements Coverage: Track requirements coverage
By Audience
- QA Team Dashboard: Metrics relevant to QA team
- Development Metrics: Metrics for development team
- Management Overview: High-level metrics for management
- Project Status: Overall project status and health
By Time Period
- Weekly Metrics: Weekly reporting dashboards
- Monthly Reports: Monthly analytics
- Sprint Analytics: Sprint-specific metrics
- Quarterly Reviews: Quarterly review dashboards
By Feature/Module
- Authentication Module: Authentication-related metrics
- Payment Processing: Payment-related analytics
- User Management: User management metrics
- API Testing: API testing analytics
Best Practices
Panel Creation
- Plan Before Creating: Think about panel purpose and audience
- Use Clear Titles: Make titles descriptive and specific
- Add Descriptions: Help others understand panel purpose
- Start Simple: Begin with a few charts, add more as needed
Panel Management
- Regular Review: Review panels periodically for relevance
- Update Descriptions: Keep descriptions current
- Remove Unused Panels: Delete panels that are no longer needed
- Organize Logically: Group related panels together
Panel Organization
- Limit Scope: Keep panels focused on specific purposes
- Consider Audience: Create panels for specific audiences
- Use Naming Conventions: Follow consistent naming patterns
- Document Purpose: Use descriptions to document panel purpose
Chart Organization
- Limit Charts per Panel: Keep panels focused (5-10 charts recommended)
- Group Related Charts: Place related charts together
- Logical Flow: Arrange charts in a logical order
- Update Regularly: Keep charts current with latest data
Use Cases
Release Metrics Dashboard
Purpose: Track release progress and quality metrics
Charts:
- Test cases executed by release
- Execution status trends
- Defect status distribution
- Requirements coverage
Audience: Release managers, QA leads
Test Execution Analytics
Purpose: Monitor test execution progress and results
Charts:
- Test runs over time
- Execution status breakdown
- Test case distribution by priority
- Defect trends in executions
Audience: QA team, test managers
Repository Insights
Purpose: Understand test case composition and coverage
Charts:
- Test cases by priority
- Automation coverage
- Test type distribution
- Severity breakdown
Audience: Test architects, automation engineers
Requirements Coverage
Purpose: Track requirements coverage and status
Charts:
- Requirements count over time
- Requirements distribution
- Requirements in executions
Audience: Business analysts, product owners
Next Steps
- Learn about Charts to create visualizations
- Explore Observatory Overview for comprehensive information
- Check out Test Runs to understand execution data
- Review Repository to understand test case data
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