#Observatory Overview - Test Analytics Dashboard
Observatory is Hawzu’s analytics and visualization space. It allows you to build interactive dashboards that help you analyze test data, track trends, and gain insights across test cases, executions, requirements, and defects.
Instead of working with raw tables, Observatory lets you turn data into meaningful visualizations that support decision-making at a glance.
#What Is Observatory?
Observatory helps you:
- Create dashboards using panels and charts
- Visualize test data from multiple sources
- Track trends and metrics over time
- Analyze execution health and coverage
- Share insights with your team
It is designed to support both quick insights and deeper analysis without exporting data externally.
#Observatory Structure
Observatory is built around three core building blocks:
#Panels
Panels are dashboards that group related charts together.
Each panel:
- Has a title and optional description
- Contains one or more charts
- Represents a focused analytics view (for example, execution health or release metrics)
Panels help you organize analytics by purpose instead of viewing charts individually.
Common panel use cases:
- Release quality dashboard
- Test execution progress
- Repository insights
- Requirements coverage tracking
#Charts
Charts are individual visualizations inside a panel.
Charts:
- Represent a single metric or comparison
- Are connected to a specific data source
- Update automatically as data changes
- Are configurable and reusable
Supported chart types include:
- Bar
- Line
- Pie
- Doughnut
- Stacked Bar
Each chart is designed to answer a specific question rather than show raw data.
#Data Sources
Charts are powered by data sources. Each data source exposes different metrics and dimensions.
#Repository
Repository charts are based on test case data.
Common metrics:
- Priority
- Severity
- Test type
- Automation status
Typical use cases:
- Test case distribution
- Automation coverage
- Priority and severity analysis
#Executions
Executions charts use data from test runs and release executions.
Common metrics:
- Test case status
- Defects
- Requirements coverage
- Execution trends
Typical use cases:
- Execution progress tracking
- Failure and defect analysis
- Trends across runs or releases
#Requirements
Requirements charts focus on requirement-level data.
Common metrics:
- Requirement count
- Status distribution
- Coverage in executions
Typical use cases:
- Requirements coverage tracking
- Requirement lifecycle analysis
#Accessing Observatory
To access Observatory:
- Navigate to your workspace
- Select a project
- Click Observatory in the project sidebar
You’ll land on the panels view, where all dashboards for the project are listed.
#Best Practices
#Organizing Panels
- Group related charts in the same panel
- Use clear, descriptive panel titles
- Add descriptions to explain the panel’s purpose
- Keep panels focused rather than overcrowded
#Designing Charts
- Choose chart types that match the data
- Use meaningful axes and labels
- Avoid overloading charts with too many dimensions
- Focus each chart on a single insight
#Using Dashboards Effectively
- Review dashboards regularly
- Track trends instead of one-time snapshots
- Share panels during reviews and discussions
- Use analytics to identify risks and gaps early
#Next Steps
- Learn about Panels to organize dashboards
- Explore Charts to build visualizations
- Review Test Runs to understand execution data
- Explore the Repository as a core data source