Tickets in Jira tend to accumulate redundant and optional fields, becoming complex and confusing. I like Jira, but I understand the frustration it causes.
A plausible solution could be inspired by software development. We programmers are used to finding massive source files, and we know that breaking them into smaller files drastically improves code comprehension. Therefore, inspired by coding best practices, I suggest creating smaller tickets.
Only three states
One way to limit the size of tickets is to simplify the workflow by restricting the number of states. For example, we can define that each type of ticket would have, at most, three states:
- To do
- In progress
- Done
To represent other stages, we can create new types of tickets, such as sub-tasks.
A moderately complex ticket type
Letâs look at an example. Consider the ticket below:
It would follow this workflow:
How could we reduce the number of phases?
We can start by removing the âIn Analysisâ stage. In its place, we create a new type of ticket called âTechnical Analysis.â This way, the original task remains in progress (âDoingâ) while the technical analysis is underway.
Fewer fields in a ticket
An advantage of this would be transferring fields to sub-tasks. Fields that would clutter the original ticket can appear only in tasks where they are relevant.
Consider the âRelease dateâ field, which only makes sense in the âReleaseâ phase. If developers, testers, etc., are not responsible for the release, this field is confusing and pollutes the original task. With a new task type called âRelease,â this field would be in the most appropriate place, keeping the original ticket concise.
Repeating stages without regressing
Another advantage is that the original ticket can go through the same stage multiple times. Itâs common for a ticket to have a development phase followed by quality tests, for example. However, if a problem arises in the evaluation, itâs not advisable to revert to the development phase. How to deal with this?
By working with sub-tasks, we can mark validation as completed and create a new implementation ticket. In our ticket, for example, we can remove the âTestingâ phase and create a sub-task of type âTest,â as well as another one called âDevelopment.â Every time the test fails, we close testing and open a new development task.
Result
Following this strategy, our ticket would look like this:
And the workflow would be much simpler:
Naturally, this strategy is flexible. In our case, for example, we havenât removed the âTo doâ phase yet. Restricting it to five (including backlog and validation) is another possibility. The core idea is to limit the number of stages to a small value for all tickets.
Conclusions
In programming, itâs common to encounter the so-called âGod objects,â huge objects responsible for various different functions. Breaking them down is a surefire way to achieve code quality. Therefore, I suspect the same principle can apply to tickets in Jira.
Iâm not a project manager, but as a programmer, I believe that limiting the size and steps of tickets can be an effective idea. Iâm curious to know if anyone has tried this and how it went.




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