This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreLevel up your Power BI skills this month - build one visual each week and tell better stories with data! Get started
I'm not sure how to phrase this, but I'm simply looking to sum up the story points by each Work Item ID. When I aggregate all of our story points for a sprint in Power BI, it's saying ID 21822 is worth 15 points, and then 22216 is worth 15 points when really it should be 5 each.
I've got it in 3 rows here to allow for the tags to play a larger role in our reporting.
What's the formula I need here?
Hi @seanpratt ,
Based on your description, the data you are displaying is duplicated across columns, which results in automatic aggregation when displayed. If you want to display only the values of each item, unaggregate them in the visual object
Or you can create a measure
Story Points_ =
CALCULATE(
AVERAGE('Table'[Story Points]),
ALLEXCEPT(
'Table',
'Table'[Work Item ID]
)
)
Best regards,
Albert He
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
You could try to aggregate by MIN or AVERGE instead of SUM. However, since it looks like most rows except the Tags are the same, I would try and fix the structure of your data - the first table would be something like the Work Item Table, which would have the Work Item Id, dates, and Story Points, etc without duplicates. And then you might have a Work Item Tag table (which just has a work Item ID and Tags), which would have a M:1 relationship with the Work Item Table. That way, you won't have to deal with the multiple story points per work item.
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 37 | |
| 32 | |
| 27 | |
| 24 | |
| 17 |
| User | Count |
|---|---|
| 70 | |
| 50 | |
| 31 | |
| 26 | |
| 22 |