Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Hi,
I want to calculate how the average ticket handling time changes over time. I have service tickets in Jira, which take a certain time to be solved.
| Ticket | Closed date | Duration (min) |
| 1 | 15.1.2022 | 4 |
| 2 | 19.1.2022 | 7 |
| 3 | 3.2.2022 | 2 |
| 4 | 9.2.2022 | 9 |
| 5 | 27.2.2022 | 5 |
| 6 | 1.3.2022 | 7 |
| 7 | 9.3.2022 | 8 |
I want to document that by end of January the average handling time was (4+7)/2. In Febrary (incl. the history of January) average time was (4+7+2+9+5)/5. In March (incl. the history of January+February) average time was (4+7+2+9+5+7+8)/7.
Thanks
Alex
Solved! Go to Solution.
Hi Alex,
calculate cumulative total duration, cumulative rows and dived duration by rows.
Thanks a lot, exactly what I needed 👍
Hi Alex,
calculate cumulative total duration, cumulative rows and dived duration by rows.
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
| User | Count |
|---|---|
| 19 | |
| 10 | |
| 9 | |
| 8 | |
| 7 |