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Atlassian Everything

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Conscious Business Accelerator

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6 contributions to Atlassian Everything
Future strategic Atlassian moves: What do you see on the horizon?
I am currently engaged in consulting a german authority regarding the DC EoL. Besides the political aspect which I do not want to cover, there is the technical aspect. What I am curious about is what kind of strategic moves do you already see on the horizon? Like the following: - Asset likely will be untied from JSM - usage based pricing: Asset objects, Rovo conversations, AI usage - push towards collections - more than the usual 10-15% pricing increase when DC is sunsetted Maybe I missed some tendencies, which are already obvious?
2 likes • 6d
For sure use-based pricing is coming on Rovo side. I think Plans will likely get built up into a stand-alone project management product that's closer to monday.com or Asana. Not yet sure how Atlassian will leverage that recent browser purchase.
3 likes • 4d
@Josh Golosinskiy That's a reasonable forecast and it makes sense. At bare-bones product & engineering level which is the starting point for many tech start-ups, there are simpler options like GitLab. Sure, it doesn't have all the bells, whistles and a thriving app marketplace, but at that org maturity level most teams just want to manage sprints and write code. Other early-stage businesses who don't write code can probably get away with simple task managers like Trello. Atlassian as a platform shines brightest when orgs mature into needing consistent, traceable, transparent workflows, and your whole org (or at least most departments) are looking for a way to run this in a unified ecosystem. Both project management and crm capabilities seem like a closer fit with the platform as it is today. Email/Messaging and Calendar (beyond what Confluence has) seem more as an outlier.
Question - How do you track work items in QA thru Prod?
My team does operations tickets (incidents, support tickets) AND new feature development. We do not have any QA people - instead we depend on our production team to do QA before we deploy to prod. We also have external customers that need to do UAT testing in our UAT environment. Issue — because we are reliant on the production team or the customer to clear QA and UAT, tickets can stall at that stage for weeks. Right now the workflow looks like this: Backlog —> To Do (Assigned) —> In Progress —> In Review —> Ready for QA —> In QA —> Ready for UAT —> In UAT —> Ready for Prod —> Done (which means Deployed to Production) So, my devs do the work and the code Review then the ticket stalls at QA or UAT for weeks waiting for the other team or customer to do their part. This time adds time against the ticket that is not an accurate reflection of my team’s work. How do you handle these things? Do you break each piece of work to a separate sub-task? (Like Development ticket, QA ticket, etc?) I’ve been racking my brain and am looking for some new ideas/suggestions. Do you break off that piece to another project so that the team’s work from to do thru Code Review is what is measured?
0 likes • 17d
I've been meaning to write an article on this same topic!
New site or cleanup?
What's your preferred way of work? Especially for work or Atlassian Jira, when you inherit it all from prior colleagues. :) You like to set up everything anew and customize from there, or you rather organise, cleanup and optimise the inherited "mess"? :)
3 likes • 28d
@Tei M. well, if you feel you need to clean up and have inherited a mess, I'd say that's a strong indicator of loose governance in that instance. For example, what is the org's data retention policy vs how long you keep data in the instance? Data is important, but maybe not "this happened 8 years ago" important. How does GRC feel about having decade-old data out there anyway? How long do you let a project sit with no new issues before you archive it? How many back versions of a workflows do you keep? How often are service accounts reviewed to see that a service behind it still exists? If an issue type wasn't used in x timeperiod, does it still need to be present in projects? Are contexts in your select fields still relevant (my old org for example had a process to add Clients to a Client drop-down, but never notified me when a client off-boarded). These are all great questions to ask when managing an instance. Lack of governance, or adherence to it (by admins) is how Jira instances get messy. Just like any type of cleaning, it's not a one-time thing and having a policy to follow helps to keep things from getting unruly.
3 likes • 28d
@Orla Mears I've written a piece on this in Atlasssian Community. https://community.atlassian.com/forums/Jira-articles/Jira-Governance-Navigating-the-Space-Between-Autonomy-and/ba-p/3156269 Personally, I don't see how a new instance helps, unless absolutely every aspect of the instance is a mess, and everyone agrees to default screens and default 3-step workflows. It also depends on what type of mess you are in. Is it a duplicate custom fields, dead projects mess? Security groups / permissions mess? Workflow mess? Unused licenses / resources / apps mess? Not every unruly instance is the administrator's fault. For example: If you have an instance with abundance of workflows where engineering teams are using different workflows to do the same work, that's an issue with the xDLC to be resolved with an agile coach and Dev leadership.
Rovo Agent Examples
Hi everyone, Has anyone built any useful Rovo Agents? Would love to hear about your use cases.
Jira Workflow/Scheme Configurations for larger scale orgs
Hey everyone! As I was brushing my teeth this morning (which is usually the time I'm most reflective), I wondered how other orgs that you guys work in or have consulted with like to manage your workflows and schemes? I've worked in both a very disciplined and totally chaotic environments, and really see how essential it is to have consistency across teams. In the past, we have leveraged that by having a single scheme and workflow across multiple spaces (and with some minor exceptions for non tech teams kept a like for like mirror image of those items with some minor adjustments based on their individual team needs) But on the flip-side, if you need to put mandatory fields or validations on workflows to improve the discipline of some teams but not others, would you feel that having several duplicate schemes works best in these regards? Or do you just apply a one size fits all approach and stick with one single instance?
0 likes • Jan 21
In my former org we've started out with dev/engineering having different workflows and work types. We've ended up standardizing our workflows across dev/engineering because it enabled consistent reporting and kpis across these projects. If you have different workflows for systems that do same type of work, you have to measure these differently and then run into challenge of reconciling or comparing stats. We've also ended up standardizing most screens, because it reduced errors and learning curve for developers who worked on multiple projects or moved between teams.
1-6 of 6
Artem Taranenko
2
2points to level up
@artem-taranenko-1614
Seasoned software implementation professional passionate about the Atlassian platform. For contact reach me at info@quaysidedigital.co

Active 16h ago
Joined Jan 13, 2026
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