---
title: "Using Workspace Dashboard"
language: "en"
url: "https://docs.testany.io/en/docs/workspace-dashboard/"
markdown_url: "https://docs.testany.io/en/docs/workspace-dashboard.md"
translation: "https://docs.testany.io/zh/docs/workspace-dashboard.md"
last_updated: "2026-03-03T14:24:54+08:00"
---

# Using Workspace Dashboard

## What Dashboard Is For

Dashboard is your workspace-level control panel for execution quality, stability, and trend monitoring.

Use it to answer practical questions quickly:

- Is quality improving or degrading this week?
- Which pipelines fail the most?
- Which pipelines are unstable (flaky)?
- Are executions getting slower?
- What ran most recently and from which trigger source?

## Read Dashboard from Top to Bottom

![Dashboard (top section)](https://docs.testany.io/docs/images/en/dashboard-overview-top.png)

### 1. Filter Bar

Start here before reading any chart:

- **Time range**: `7d / 14d / 30d / 90d` or custom date range
- **Pipeline**: narrow to one or more pipelines
- **Tags**: narrow to tagged pipeline sets
- **Trigger Source**: filter by `Plan`, `Gatekeeper`, `Manual Trigger`, `Single Run`


> **Tip**
>
> If data looks unexpected, first check whether old filters are still active. Use **Reset filters** to return to baseline.


### 2. KPI Cards

The first row summarizes the selected scope:

- **Total Executions**: total number of executions in current filters
- **Success Rate**: overall pass ratio in current filters
- **Avg Duration**: average execution duration
- **Pending / Running**: in-flight executions right now

Use KPI cards to detect anomalies first, then drill into detailed charts below.

### 3. Workspace Overview Panel

The overview panel gives fast context:

- **Assets Composition**: counts of pipelines, plans, gatekeepers, and test cases
- **TEE Utilization**: current TEE Utilization level
- **Team & Test Activity**: workspace member activity and recent test case execution volume

This helps distinguish quality problems from capacity/load problems.

## Understand Core Analysis Sections

![Dashboard (analysis section)](https://docs.testany.io/docs/images/en/dashboard-analysis-section.png)

### Which widgets are affected by filters

Dashboard has two data scopes: **filtered analytics scope** and **workspace overview scope**.

| Widget | Affected by time/pipeline/tags/source filters? | Notes |
| --- | --- | --- |
| Total Executions | Yes | Uses current filter window and dimensions |
| Success Rate | Yes | Uses current filter window and dimensions |
| Avg Duration | Yes | Uses current filter window and dimensions |
| Pending / Running | No | Real-time queue/running load from executor status in workspace |
| Success Rate Trend | Yes | Filtered analytics scope |
| Execution Volume Trend | Yes | Filtered analytics scope |
| Pipeline Health Matrix | Yes | Filtered analytics scope |
| Top Failed Pipelines | Yes | Filtered analytics scope; only pipelines with enough runs are ranked |
| Top Flaky Pipelines | Yes | Filtered analytics scope; requires enough runs and compares pass/fail flips |
| Top Slowest Pipelines | Yes | Filtered analytics scope |
| Top Failed Test Cases | Yes | Filtered analytics scope |
| Recent Executions | Partially | Uses time + pipeline + source, but not tag filter |
| Assets Composition | No | Workspace-level asset inventory |
| TEE Utilization | No | Workspace-level executor capacity usage |
| Team & Test Activity (Members) | No | Workspace member snapshot |
| Team & Test Activity (Test Case Executions 14d) | No | Always fixed to recent 14 days in workspace timezone |

### Success Rate Trend

Use this trend to see whether quality is consistently improving or dropping over time.

- A short dip may be a one-off incident.
- A sustained downward trend usually needs root-cause analysis.

### Pipeline Health Matrix

Pipeline Health Matrix helps compare pipeline stability side by side.

- Rows represent pipelines.
- Cells represent recent execution outcomes.
- Click a cell/execution key to jump into execution investigation.

### Top Failed Pipelines

Use this block to prioritize where failure impact is highest.

- Start with top-ranked pipelines.
- Correlate with failure trend and recent executions to identify fresh regressions.
- Ranking compares pipelines inside your current filter scope.
- Pipelines with very few executions are excluded to avoid noisy ranking.

### Top Flaky Pipelines

Flaky Pipeline means outcomes are inconsistent across runs.

Use this block to find unstable pipelines that may pass sometimes and fail sometimes.
- Flaky ranking is calculated within your current filter scope.
- It focuses on pass/fail state changes across consecutive runs.

### Top Slowest Pipelines

Use this block to find pipelines with high execution cost.

- Prioritize long-running pipelines with frequent usage.
- Check whether slow pipelines also overlap with failed/flaky pipelines.

### Top Failed Test Cases

This table helps isolate recurrent failing test cases across pipelines.

- **Failed** = failed count
- **Failure Rate** = failed/total in current filters

## Use Recent Executions for Fast Drill-Down

![Dashboard (bottom section)](https://docs.testany.io/docs/images/en/dashboard-overview-bottom.png)

The **Recent Executions** table is your shortcut from trend to evidence.

Use it to quickly confirm:

- current status
- source (`Plan`, `Gatekeeper`, `Manual Trigger`, `Single Run`)
- duration
- trigger time

Then open execution detail for root-cause analysis.

## Recommended Troubleshooting Workflow

1. Narrow time range and source in filters.
2. Check KPI cards for anomaly direction (quality, duration, or queue).
3. Use matrix + top lists to locate candidate pipelines.
4. Open recent execution details and verify failing test cases/logs.
5. Confirm fix by refreshing dashboard and comparing trends.

## Related Guides

- [How to Read Execution List and Execution Detail](https://docs.testany.io/en/docs/how-to-read-execution-list-and-detail.md)
- [Manage Test Trigger Methods - Plan Trigger](https://docs.testany.io/en/docs/managing-test-plan.md)
- [Manage Test Trigger Methods - Gatekeeper Trigger](https://docs.testany.io/en/docs/managing-test-gatekeeper.md)
- [Manage Test Trigger Methods - Manual Trigger](https://docs.testany.io/en/docs/managing-test-manual-trigger.md)

## Glossary terms on this page

- [Workspace](https://docs.testany.io/en/docs/glossary.md#workspace)
- [Execution](https://docs.testany.io/en/docs/glossary.md#execution)
- [Gatekeeper](https://docs.testany.io/en/docs/glossary.md#gatekeeper)
- [Test Case](https://docs.testany.io/en/docs/glossary.md#test-case)
- [Workspace Member](https://docs.testany.io/en/docs/glossary.md#workspace-member)
- [Executor](https://docs.testany.io/en/docs/glossary.md#executor)