Good day, community!
Today, let's talk about the power of automation...
Imagine having a backlog of 100 issues, 30% of which are high priority.
You create various types of custom fields to prioritise them further, input and update field values, then create multiple reports to filter out issues and order them by custom field values.
What next? Export reports as CSV for the cross-report data analysis in Excel?
There must be a better way to consolidate data and leverage all factors to define those highest-value backlog items that would bring you the most profit.
And there is!
You can save time and skip so many steps by setting automation between Jira and a backlog prioritization tool.
And so, groom your backlog directly in Jira to spot those low-hanging fruit right away.
Foxly calculates the priority score for you:
Yet, a lot of manual work is required to update both priority metrics in Foxly and issue custom fields.
Let’s say you want to sync the value of a custom priority metric, e.g. Issue Age, and a custom data field of your issues.
It can be done in 4 steps:
Now, let’s take a look at each of the automation steps.
In order to add a custom metric to issue priority scoring in Foxly:
Next, we map a custom field in Jira to the new priority metric:
Set this Automation rule for each issue priority metric you want to focus on, and the Jira custom field you need to track.
There are more types of automation, you can create to make your backlog prioritization seamless and efficient.
🎥 Watch a video on How to connect story points field to Effort/Ease metric in Foxly.
How can Foxly help with your backlog prioritization?
🦊 Schedule a live Foxly demo with us to share your specific case;
🧑💻 Or try Foxly in your Jira today!
⭐️ There's a free trial, and the app is Free for teams up to 10 users.
Katie Zavhorodnia_Appfire
Demand Generation Marketing @ Appfire
Appfire
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