Advance your Data & AI career with 50 days of live learning, dataviz contests, hands-on challenges, study groups & certifications and more!
Get registeredGet Fabric Certified for FREE during Fabric Data Days. Don't miss your chance! Request now
Hi,
I would like to ask about Typical Opening Time interval in Usage Metrics. How it is exactly calculated? It seems that values are not corresponding with Dailly Typical Opening Time and it is not MIN and MAX for P-50 from selected period. Anyone has more info?
Regards,
Karo
Can anyone help to identify what "most of the users" means in this case, please?
Hi @karo ,
The Powerbi Servive background system has its own set of calculation logic. We cannot get it, and the time displayed on the service has a certain delay, which may be caused by network instability.
Best Regards,
Henry
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @v-henryk-mstf , I undarstand that Power BI Servive background system has its own set of calculation logic, however I would like to interpet the usage metrics correctly. I am also aware about the deleay in metrics. Nevertheless, term "most of the users" is not unambigious and it would be great to know what it means (P-50, P-75, P-90 or something quite different).
regards,
Karo
If this is what you are looking for:
Ref: Monitor usage metrics in the new workspace experience (preview) - Power BI | Microsoft Docs
Did I answer your questions? Give a thumbs up and accept this post as solution!
Thank you @_sfrost , however I refer to Typical Openining Time Interval what is used on card: For most of the users your report opens within __ and __ seconds, not to Typical Opening Time. And those values do not correspond with Typical Opening Time when we look into selected period. For example, at attached screenshot, it is within 1 and 80 seconds, however when I am looking into chart below with P-50 then I can see 96 as max for selected period, not 80. This is the reason why I am asking if anyone knows how is it calculated exactly.
Regards,
Karo
Check out the November 2025 Power BI update to learn about new features.
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!
| User | Count |
|---|---|
| 51 | |
| 24 | |
| 13 | |
| 12 | |
| 11 |