How the average score shown in OKR heatmap is calculated in Jira Align
Platform Notice: Cloud and Data Center - This article applies equally to both cloud and data center platforms.
Support for Server* products ended on February 15th 2024. If you are running a Server product, you can visit the Atlassian Server end of support announcement to review your migration options.
*Except Fisheye and Crucible
Summary
In the “Strategy Room” we have many widgets. We will see how the values are calculated for the widget OKR heatmap. The OKR heatmap will show you only the PIs associated with the particular snapshot that's loaded in the Strategy room.
Environment
Jira Align
Solution
OKR Heatmap
Let us take this example which has 2 Objectives and the average score is 0.7
When we look at the first objective SSR_Objective_2 and scroll down to the Key Results section, there are 3 Key Results
SSR_Objective_2 KR1 = 0.5
SSR_Objective_2 KR2 = 0.7
SSR_Objective_2 KR3 = 0.6
So the total score will be: (0.5+0.7+0.6) = 1.8
The average score for this Objective will be: (1.8/3) = 0.6
When we look at the second objective SSR_Objective and scroll down to the Key Results section, there are 4 Key Results:
SSR_Objective KR1 = 1
SSR_Objective KR2 = 0.6
SSR_Objective KR3 = 0.5
SSR_Objective KR4 = 1
So the Total score will be
(1+0.6+0.5+1) = 3.1
The average score for this Objective will be: (3.1/4) = 0.775 (rounded to 0.8)
So coming back to the OKR heatmap, we can see that the average score will be just an average of the 2 objective scores:
SSR_Objective = 0.8
SSR_Objective_2 = 0.6
Therefore, the average score = (0.8+0.6)/2 = 1.4/2 = 0.7
Was this helpful?