Track indicators in the Automation Report to determine how much effort is being put into your automation journey. See what percentages are being done through scripts and other automated means and what is being done manually.
Indicator | What It Tracks | What Signals It Might Bring |
QE Hours | The total hours spent on Quality Engineering tasks during the period. Automatically compares to the hours during the same time frame immediately before the period. | This indicator helps stakeholders monitor investment in automation and assess its scaling over time. |
Total Hours | The total hours spent on manual and automated testing during the period. Automatically compares to the hours during the same time frame immediately before the period. | This metric provides perspective on how automation investments compare to overall testing efforts. |
QE to total | The percentage of total hours that were dedicated to Quality Engineering tasks. Automatically compares to the percentage during the same time frame immediately before the period. | This indicator helps stakeholders quickly assess improvements or setbacks against the previous period at a glance without needing to analyze detailed graphs. |
QE vs. manual test management | The distribution of Quality Engineering and manual test management efforts over time. | This chart helps stakeholders track resource allocation, identify efficiency trends, and monitor automation adoption progress. |
Automation management vs. script development | The distribution of Quality Engineering tasks into managing automation and developing scripts over time. | This chart helps teams understand whether resources are primarily spent on creating new automated tests or maintaining and optimizing existing automation. Monitoring this balance can highlight trends in automation sustainability and identify potential bottlenecks in maintaining test frameworks. |
Automated and manual test executions | The number of automated and manual test executions over time. | This chart provides insight into the shift toward automation, highlighting trends in test execution distribution. |
Automated vs. manual test executions | The percentage of test executions that were automated and manual over time. | This chart helps in assessing the overall adoption of automation and compare it against the target automation goal. |