Unlike the Time Invested Summary, the Issue type time investment graph displays the percentage of time invested in each item type for the selected period. You can view this data by week or sprint, as you prefer.
It also displays the percentage of time invested on bugs, on average, for a given period.
If you have not customized the item types in your source software, you will see the usual types: Bugs, Story, and Tasks. Since subtasks are considered in the global story processing time, you won't see a time calculation specific to this item type.
That being said, as Axify imports your project management structure, the item types presented in the graph will be exactly the same as those used at the source. It is therefore possible to see other types of items, depending on your context of use. In the example below, adding a "client bugs" type will not combine the percentages of both types into one category. So you will see two types referring to "bugs".
Psst! If several teams are working on the same project, we generally recommend standardizing the nomenclature of item types. For example, "bugs" and "client bugs" could refer to two completely different or identical item types. Determining a basic nomenclature with your team at the beginning of the project will make it easier to manage and read this Axify graph.
Example of use
For the following graph, the period displayed corresponds to the last three months, and the display mode is by sprint. Overall, we can see that 12% of the time spent in development has been invested in bug fixes during the last six months.
As this graph is interactive, hovering over it with your mouse will display more details for a given week.
For example, we can see that 10.25% of the time was spent on bugs for one week.
Considering the colour-coding, we can see a change in time allocation in the following weeks, as the team allocated a more significant percentage to stories and improvements.
This change may reflect a change in work methodology to increase collaboration or improve the validation process.
To learn more about the variation indicator and its calculation, check out this article!