The Throughput graph displays the number of items delivered for the selected period, week by week.
It also displays the average number of items completed for a given period. Again, you can display this data by sprint or week, depending on your preference.
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 this team delivers nine items per sprint, on average. However, we can also see some dips in the graph, indicating a decrease in the number of items delivered for specific weeks.
Since this graph is interactive, hovering over it with your mouse allows you to display more details for a given week.
For example, we can see that the team completed 12 items for one sprint.
Another week has 5 items delivered. Overall, the curve shows a downward trend (red dotted line). The goal here is to see an improvement (upward trend), but most importantly, to have the most stable flow possible.
This change in the trend may reflect a shift in work methodology to divide the items better to spread the workload.
Psst! Axify counts the number of items and not the number of scrum points. Therefore, the complexity of delivered items has no impact. That being said, you can compare the number of items delivered to the time invested per item type (displayed above the flow) to get more information about the complexity of a given delivery. You can also compare this data to the Service Level Expectation (pictured to the right of the throughput in Axify) to learn more about some of the items completed during that period.
To learn more about the variation indicator and its calculation, check out this article!