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Otherwise, Agile Analytics won’t be able to auto-track their tickets from the Ticket feed and include it in the Inferred Hours Report. And, of course, they won’t be able to add their hours manually until they get access to Agile Analytics.
How to add users
After adding users, they will be able to login into Agile Analytics with the emails which were provided and fill in their hours reporting.
Step 3. Setting up auto-tracking from the ticket feed
3.1 Connect your ticket feed to Agile Analytics
Connect Jira: [Jira] Connect Agile Analytics to Jira
Connect Azure DevOps: (coming soon)
3.2 Check if users’ Ticket Feed profiles were connected
Go to the Settings page → Users taband check the users' Jira profile column. If the profile is not connected, click “Connect“.
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Agile Analytics only estimates working hours for users whose Tickets feed profiles are connected. |
3.2 Set the number of working hours for users
Go to the Settings page → Users taband select the number of the users' working hours in the Hours/Week column.
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User’s working hours improves their working hours' estimation. |
How are Inferred hours counted?
The Inferred hours feature works exactly as Hours, except the way we are computing how much time was spent on a ticket.
The idea is easy, we divide the amount of time a ticket was in the In Progress column (for Jira only) and how many tickets were in the In Progress column. To be more specific it divides the time interval by the number of overlapping intervals (all the tickets that are In Progress at the same time as the ticket we’re computing inferred hours for) for all tickets.
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In the image we have some time intervals and divide them with vertical dotted lines each time a new interval starts or ends. The numbers represents the amount of overlapping intervals. So for the ticket with the black interval we sum all intermediary intervals divided by the count overlapping intervals.