Dashboards

A dashboard is the landing view for a project. The Standard dashboard is fixed and shows the project’s test case and execution summary. An Advanced dashboard is one you build from widgets, filter as a whole, drill into, and share by link.

Standard dashboard

It reports on the project selected in the project switcher, in 7 sections.

• Test Case Overview: the total number of test cases, with counts for Passed, Failed, and Not Executed.
• Latest Runs: the latest executions for the project. Use the filter to scope by Today, This Week, This Month, or This Quarter.
• Test Case Execution Trend: a chart of the execution trend over the last 30 days.
• Review Management: test cases and elements under Submitted for review, with the reviewer’s name and the submission date, and those under Assigned for your review.
• Test Case Status: a donut chart by Draft, Inreview, Ready, Obsolete, and Rework.
• Test Case Type: a donut chart by Unit Test, Integration, Functional, Non Functional, and User Experience.
• Test Case Priority: a donut chart by Critical, Major, Medium, and Minor.

Create an advanced dashboard

Note

Advanced dashboards are off until Testsigma support enables them for your account.

The project needs at least one application and one completed test run before you start. Without them, the widgets have no data to show.

1. Click Advanced next to Standard on the dashboard. Existing dashboards appear as tabs, and the list is empty if no dashboards exist yet.

2. Click Create Dashboard, or click Create New + and select Dashboard.

3. Enter a name for the dashboard, such as Release Readiness - Q2 2026 or Team Velocity Tracker.

4. Select widgets from the library. Click the preview icon on any widget to preview it before selecting.

5. Click Create Dashboard.

The dashboard opens with its widgets in place, and they update as test executions complete.

Tip

A dashboard of 5 to 7 widgets is enough to start with. Names that fit the navigation menu and are specific enough to search work well.

Filter a dashboard

Click any filter control at the top of the dashboard to scope every widget at once.

• Project: scopes the data to a project, application, and version, or to All Projects to show data across all projects.
• Date range: recent hours from 3 to 24, current periods for Today, This Week, This Month, and This Quarter, longer ranges from the last 3 to 60 days, or Custom Date.
• Interval: groups the data Hourly, Daily, Weekly, Monthly, Quarterly, or Yearly.

Edit a dashboard

1. Click Advanced on the dashboard and open the dashboard you want to change.

2. Click Edit.

3. Click Add Widget to open the library. Widgets already on the dashboard are highlighted. Click the preview icon on any widget to preview it before adding.

4. Hover over a widget to remove it with the Delete icon, or to drag it into a new position.

5. Click Save Changes.

Note

Removing a widget takes it off the dashboard permanently, though you can add it back later.

Share a dashboard

Go to More Options > Share on the dashboard, click Create shareable link, then click Copy link.

Anyone with the link can view the dashboard in read-only mode.

Explore a widget

Click Explore on any widget to open its detail panel. The panel shows:

• Right Now: a summary of what the widget is currently showing.

• What Counts: what the widget includes and excludes in its calculation.

• How to Read It: how to interpret the data.

• Drill-Down: the drill-down level available and what clicking a mark opens.

  

Drill down into a number

Click Drill down on any widget, then click a mark, bar, slice, or row to open a drill-down panel on the right. The panel shows the exact records behind that mark, with their status, scope, and date range. A Quick Analysis section highlights key patterns in the rows. Use Columns to change which columns are visible, and Export As to export the rows.

Ask

Ask is a tab in the advanced dashboard view. Click Ask to open it. Ask has its own project scope selector in the top right, independent of the dashboard filter.

Ask reads from your dashboard’s widgets and returns an answer with analysis, formulas, and source widgets. The answer includes a numbered breakdown of how each figure was calculated. Every figure comes from the dashboard’s own data rows, not from the AI.

If a question is ambiguous, Ask presents options before it answers. Suggested questions appear on the Ask screen.

To add widgets to a dashboard from Ask:

1. Click the Ask tab.

2. Type your question or select one of the suggested questions on screen.

3. Review the answer. The Widgets that carry this section shows the widgets behind the answer, each with a preview.

4. Click Add [n] widgets to…, where n is the number of widgets selected, and choose an existing dashboard or + New dashboard.

5. To clear the conversation and start over, click New conversation.

The selected widgets are added to the dashboard immediately.

Note

Questions Ask cannot answer from the available widget data return a clear response that it cannot answer that question.

Widgets

When creating or editing a dashboard, the widget library opens as a panel with 6 category tabs. Each widget shows its name and a one-line description. On a placed widget, click Explore to see its formula and drill-down detail, or click Drill down to open the records behind it. See Explore a widget and Drill down into a number.

Executive insights and release readiness

These widgets answer whether a release is safe to ship. A high pass count with a low fail count is healthy. A high Error count points at infrastructure rather than at the application. On Runs by Test Plan, a low success rate means flakiness and a high duration means a bottleneck, so sorting by duration finds the slowest plans.

Reliability and stability

Reliability widgets show test suite stability and failure patterns. Test Reliability Mix classifies suites as Consistent, Flaky, or Unexecuted. A Consistent share above 80% is the target, but a high Unexecuted share means tests are not running, not that they are unstable. Flaky Test List ranks tests by flake score. A high score usually means a timing or resource dependency. Start stabilization at the top of that list.

Test design and team productivity

Productivity widgets track authoring velocity, who is contributing, and which assets have gone stale. Flat or declining columns on Tests Authored Over Time mean either saturation or a resource constraint. Low fix counts on Failing Tests Fixed by Author mean flaky tests are accumulating across the team.

AI intelligence and agentic ROI

AI widgets show what AI-assisted authoring and Auto Healing are returning. Auto-Heal Outcomes Over Time compares failed test plan runs against auto-healed ones. Each healed run is one a person did not have to fix manually.

Infrastructure and performance

Infrastructure widgets show resource use and bottlenecks. On Concurrency Utilization Sessions, the gap between sessions used and your configured limit is spare capacity. Running near the limit constantly means it is time to expand the concurrency allocation. Execution Duration Trend carries average, median, and p95 durations, so a sudden spike is a performance regression rather than a slow drift.

Accessibility

The category contains seven widgets: Accessibility Compliance Score, Accessibility Issues by Severity, Most-Failed WCAG Criteria, Accessibility Score Over Time, Accessibility Fixes to Prioritise, Accessibility by Page, and VPAT Readiness. They track WCAG conformance, open issues by severity, and remediation progress.

Accessibility Compliance Score breaks conformance down by level. A low A-level score means critical gaps that block basic accessibility requirements.

The Accessibility Compliance Score widget has a Standards selector in its top-right corner. Select a standard from the dropdown to map your existing test data to that standard without needing new runs. The available standards are WCAG 2.2, ADA, Section 508, EAA, and EN 301 549.

Starting combinations

Dashboard	Widgets
Release readiness	Run Outcomes Breakdown, Pass vs Fail Over Time, Latest Runs, Consolidated Project Health
Quality improvement	Flaky Test List, Top Failing Tests by Triggering User, Failures by Error Type, Average Time to Fix a Failing Test
Team productivity	Tests Authored Over Time, New Tests Per User, Failing Tests Fixed by Author, Stale Tests & Plans by Age
AI investment	AI-Generated vs Manually Written Steps, Auto-Heal Outcomes Over Time, Most-Used Test Actions
Infrastructure planning	Concurrency Utilization Sessions, Execution Duration Trend, Environment Coverage, App Coverage By Type
Accessibility compliance	Accessibility Compliance Score, Accessibility Issues by Severity, Accessibility Score Over Time, VPAT Readiness