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Chart Data Sources

3 min read

Custom Builder charts start with a data source. The selected data source controls which fields are available for the X axis, the Y axis, and the chart type.


After choosing a data source, you pick an X axis field and then a Y axis. The Y axis can be:

  • Count — how many items fall in each X value
  • A second field — break the X field down by another dimension (for example, test cases by priority and automation status)
  • A measure — a numeric value such as pass rate, coverage, or flip count, on the sources that provide one

The chart types offered depend on this X + Y combination.


Repository charts focus on test case structure and coverage. Available fields:

  • Priority
  • Severity
  • Test Type
  • Automation Status
  • Labels
  • Folder
  • Owner
  • Requirements
  • Requirement Link — tests split into linked to a requirement versus orphan (no requirement)

Use Repository charts to review test case mix, automation coverage, orphan tests, and how priority or severity is distributed across folders, owners, or requirements.


Execution charts focus on testing activity and result outcomes. Available fields:

  • Test cases — can be broken down by status, priority, severity, test type, or automation status
  • Defects — can be broken down by status, priority, or severity
  • Requirements

Use Execution charts to review execution progress, result distribution, linked defect pressure, and requirement coverage during testing.


Requirement charts focus on coverage and traceability. Available fields:

  • Test cases — can be broken down by priority, severity, test type, or automation status
  • Defects — can be broken down by status, priority, or severity
  • Type
  • Workflow Status
  • Labels
  • Test Coverage — requirements split into those with at least one linked test versus those with none

Use Requirement charts to find requirements with large test coverage, weak automation coverage, missing coverage, or linked defect pressure.


Defect charts focus on quality risk and defect distribution. Available fields:

  • Status
  • Severity
  • Priority
  • Assignee
  • Reporter
  • Age
  • Resolution

Use Defect charts to review open defect pressure, severity and priority mix, how defects are being resolved, and how defects spread across assignees, reporters, and age buckets.


Test Run charts focus on run throughput and completion. Available fields:

  • Execution Kind
  • Created By
  • Completion State
  • Pass Rate (measure)

Use Test Run charts to review how many runs each person creates, completion progress, and pass rate by run type.


Release charts focus on release quality and readiness. Available fields:

  • Release
  • Status
  • Labels
  • Measures: Pass Rate, Coverage %, Open Criticals, Total Tests, Executed Tests

Use Release charts to compare quality signals across releases and track readiness over time.


Flaky Test charts focus on test stability. Available fields:

  • Classification
  • Automation Status
  • Folder
  • Measures: Pass Rate, Flip Count

Use Flaky Test charts to see how stability is distributed and where flaky behavior concentrates.


User charts focus on contribution and activity. Available fields:

  • Role
  • Group
  • Name
  • Measures: Tests Authored, Tests Executed, Defects Filed

Use User charts to review testing contribution by role, group, or individual.


Chart type options change based on the data source and the X + Y selection. For example:

  • A single field counted (field + Count) supports bar, line, pie, doughnut, area, or polar area.
  • A field broken down by a second field supports bar, line, stacked bar, area, or bar + line.
  • A numeric measure on the Y axis supports bar, line, or bar + line.

Some curated trend insights also use specialized time-series charts. If a chart type is not available, choose a different field combination.