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Observatory Overview

2 min read

Observatory is the project analytics area in Hawzu. It turns testing data into answers to the quality questions QA teams ask every day — release readiness, execution progress, coverage, traceability, and defect pressure.

Most reporting tools ask you to build charts. Observatory starts by asking what you want to know. You choose a business question, add a ready-made insight, or build your own custom analysis when you need complete flexibility.

Observatory is built from a few main parts:

  • Panels organize related charts into a dashboard.
  • Smart Insights are ready-made analytical questions you add in one click.
  • Collections add a whole role-based dashboard at once.
  • Project Health scores the project at a glance and drives recommendations.
  • Charts show a specific metric, trend, or distribution inside a panel.

What Observatory Helps You See

Section titled “What Observatory Helps You See”

Use Observatory when you want to review testing health across a project without opening each work area one by one.

Common uses include:

  • Reviewing repository coverage by priority, severity, test type, or automation status
  • Tracking execution outcomes and test case status distribution
  • Monitoring linked defects by status, severity, or priority
  • Reviewing requirement coverage and traceability pressure
  • Building focused dashboards for release reviews, team check-ins, and quality planning

How Observatory Is Organized

Section titled “How Observatory Is Organized”

Project Health

Section titled “Project Health”

The Observatory page opens with a Project Health scorecard — an at-a-glance score out of 100 across automation, coverage, execution, quality, and defect health. See Project Health.

Panels

Section titled “Panels”

Below the scorecard is a list of panels. Each panel is a dashboard container with a title, description, chart count, and actions for editing or deleting the panel.

Open a panel to view its charts together in a dashboard layout.

Adding Insights

Section titled “Adding Insights”

Inside a panel, select Add Insight to add a chart. The window offers three ways to do this:

  • Smart Insights — ready-made analytical questions grouped by category, plus recommendations based on your project. See Smart Insights.
  • Collections — curated, role-based sets of insights added in one click. See Collections.
  • Custom Builder — build a bespoke chart by choosing the data source, fields, and chart type. See Charts Overview.

If none of the ready-made insights fit, use Request Chart to describe what you need.

Supported Data Sources

Section titled “Supported Data Sources”

Observatory supports charts from these project data areas:

  • Repository: priority, severity, test type, automation status, labels, folder, owner, and requirements
  • Executions: test cases, linked defects, and requirements
  • Requirements: linked test cases, linked defects, type, workflow status, and labels
  • Defects: status, severity, priority, assignee, reporter, and age
  • Test Runs: execution kind, created by, completion state, and pass rate
  • Releases: release, status, labels, pass rate, coverage, and open criticals
  • Flaky Tests: classification, automation status, folder, pass rate, and flip count
  • Users: role, group, name, tests authored, tests executed, and defects filed

The available chart fields and chart types depend on the selected data source.

Permissions

Section titled “Permissions”

Observatory is available to workspace owners and managers, and to project managers, coordinators, and members. Project viewers do not have access to Observatory.

Next Steps

Section titled “Next Steps”