Axify's Summary page contains a lot of information while remaining easy to use.
It is essentially composed of four sections.
- Your objectives
- Morale summary
- DORA metrics summary
- Highlights presentation
- Additional Resources
The Morale Summary, as the name implies, provides a condensed presentation of the most recent team morale ratings according to the five standard categories.
Unlike the Human Axis, which compiles survey responses for two weeks before displaying data, the Morale Summary displays the most recent scores as soon as they are available. It is therefore normal for this section to display data while the Morale axis gathers information.
- The arrow indicates the most recent score.
- And the arrow indicates the previous score.
You can hide this legend. Note, however, that once the legend is hidden, it cannot be displayed again (until your cache is cleared).
To learn more about the Morale Summary, consult this article.
To learn more about the Human Axis in general, refer to these articles.
DORA metrics summary
The DORA metrics summary shows the following data.
- The average number of deployments per week
- The average changeover time for the current period.
For both of these metrics, the summary also shows the percentage change for the current month compared to the previous month.
To learn more about the variation indicators, refer to this help article.
To learn more about DORA metrics, please refer to the following help articles.
The Insights section shows the largest variations across all axes. The variation presented here is calculated based on the last month, per week. Therefore, the value may differ from the variation presented in the process or technical axes, if the selected period is longer than one month and if data is displayed by sprint instead of by week.
For example, we can see in the screenshot below that the time invested per item type (bugs in this example) is up 129% and that the stability of the workflow (i.e. the number of started items compared to the number of completed items) is down 29%.
It is possible that there were variations in the distribution of cycle time or in the expected level of service, but the biggest variations identified by Axify are in the time invested in bugs and workflow stability.
To learn more about each metric presented in this section, we invite you to refer to our help articles.
Unsure of what might affect your metrics? Or would you like to discuss a specific context and get advice from our experts*? Contact us!
Stay tuned! We will soon publish new tips and tricks related to the interpretation of Axify metrics to help you improve your processes!
*Diagnosis and accompaniment are offered as an additional billable service.