Defect Analysis dashboard
The Defect Analysis dashboard provides a comprehensive view of defects logged in the system, enabling stakeholders to analyze trends over the past 13 months using key performance indicators (KPIs) such as reported defects, fixed defects, reopened defects, and defect age. It supports both organizational and planning-level insights, allowing you to evaluate defect trends, understand the impact of defect volume on resolution times, and drill down into detailed defect data. With intuitive visualizations and interactive filters, the dashboard helps identify areas of improvement, track defect resolution efficiency, and drive better project outcomes.
As a business stakeholder, you can use the Defect Analysis dashboard to understand the following aspects:
- Compare and analyze the trend of reported defect upon the fixed defect count for a specific month.
- View and understand the impact of defect volume upon the defect age at project level.
- View the defect volume reported for each planning level and can drill down to the defect details.
The Defect Analysis dashboard is built using the defects created, portfolio item strategic themes, planning level hierarchy, and agility last refresh date datasets.
You can filter the required planning levels from the drop down and the grids display the data respectively.
Here is a screenshot of defect analysis dashboard.
The Defect Analysis dashboard consists of the following sections:
KPIs
- Reported defects: Provides the count of reported defects for the current month and previous month. If the number of reported defects is lower than the previous month, the percentage value is displayed in green.
- Fixed defects: Provides the count of fixed defects for the current month and previous month. If the number of fixed defects is higher than the previous month, the percentage value is displayed in green.
- Reopened defects: Provides the count of reopened defects for the current month and previous month. If the number of fixed defects is lower than the previous month, the percentage value is displayed in green.
- Avg defect age (days): Provides the age of defect in days for the current month and previous month. If the number of fixed defects is lower than the previous month, the percentage value is displayed in green.
Monthly defect trend
The Monthly Defect Trend section provides the current and last 12 months trend of defects reported upon the defects fixed for a selected planning level.
You can hover over the bars to view the number of reported defects, and number of fixed defects for a specific month.
Impact of defect volume on defect age
This panel displays a bubble graph to help you analyze the impact defect volume on defect age. The count of reported defects is plotted against defect age to display this data. The size of the bubble indicates the number of defects reported. The bigger the bubble is, defects reported are more and hence, the project needs more attention. The data in this section is driven by selections made in the Monthly defect trend panel.
You can hover over the bars to view the details such as defect planning level, average defect age in days and the count of reported defects.
Defects identified by strategic themes
This panel uses a tree map visualization to display defects grouped by strategic themes, teams, and initiatives, with the size of each block representing the number of defects. The panel uses distinct colors for clarity and hierarchical breakdowns to provide granular insights, helping teams identify areas with the highest defect counts, prioritize fixes, and address defect trends across teams and projects for improved product quality.
Planning Level Details
The Planning Level Details section delivers the deep dive view of defect details associated with a specific planning level. You can find the specific defect details such as ID, planning level, created date and time, status, and completed date and time.
Components of dataset
This section lists all the attributes and metrics that have been used to build the reports in this dashboard.
Attributes
| Attribute Name | Description | Dataset |
|---|---|---|
| Calendar month | Gregorian calendar month | Defects created |
| Defect | Unique identifier for the defect | Defects created |
| Defect completed datetime | The date and time when the defect status was changed to the completed category. | Defects created |
| Defect created datetime | Date and time on which the defect was created | Defects created |
| Defect planning level | Planning level of the defect | Defects created |
| Defect source URL | Source URL of the defect | Defects created |
| Defect status | Current status of the defect | Defects created |
| Defect team | Team assigned to complete the defect | Defects created |
| Strategic theme | Strategic theme of the defect | Portfolio item strategic theme |
Metrics
| Metric Name | Description | Metric Formula | Dataset |
|---|---|---|---|
| Average Defect Age (Days) | Average of the defect age in days | Age Since Creation (Days)/No.of Defects Created | Defects created |
| Defect age in days | Duration between defect created date and time and current or completed date time in days | Age Since Creation / 86400.0 | Defects created |
| Fixed defects | Number of fixed defects | Count(Fixed defects) | Defects created |
| Reopened defects | Number of defects that were reopened | Count(Reopened defects) | Defects reopened |
| Reported defects | Number of defects reported | Count(Reported defects) | Defects created |