How can I use Atlassian tools like Jira and Confluence to manage a gaming analytics project?

[Carter ethan]

I’m currently working on Faceit Finders,a gaming analytics platform that helps players track and analyze their performance in competitive games. I’d like to streamline our workflow for managing feature updates, bug tracking, and content documentation.

I’m exploring how to best use Jira for issue and feature tracking, and Confluence for creating structured documentation, player guides, and update logs.

Could anyone share best practices, templates, or workflows that have worked well for similar data-driven or gaming-related projects? I’d especially love advice on how to connect Jira and Confluence for seamless collaboration between dev and content teams.

Thanks in advance for your insights!

[lucas bennet · Accepted solution]

That sounds like a great initiative! Using Jira and Confluence together is perfect for gaming analytics projects, Jira can handle your development sprints, bug tracking, and feature requests, while Confluence works well for documenting analytics reports, player insights, and update logs. Integrating both ensures transparency and real-time collaboration, which aligns well with how platforms like Faceit Finders operate to track player performance efficiently.

[Carter ethan]

You can manage your gaming analytics setup efficiently by using Jira to track updates and Confluence to document player stats and insights for smooth collaboration and scalability.

[John Johnson]

Your project with Faceit Finders sounds really exciting! Using Jira for issue and feature tracking alongside Confluence for structured documentation is a smart approach for data-driven or gaming-related projects. From my experience, setting up separate Jira boards for features, bugs, and testing, combined with Confluence templates for player guides and update logs, helps keep the workflow organized, and linking Jira issues directly in Confluence pages ensures both dev and content teams stay in sync. Additionally, when analyzing gameplay performance across regions, tools like a Proxy server for Free Fire can be useful for testing connectivity and latency differences, which can inform analytics or testing strategies.

[Alexey Pavlenko _App Developer_]

Hi @Carter ethan ,

Many things are available in Jira out of the box, but not the following:

• Track and measure:
  • 9 pre-built sprint metrics (Initial Scope, Final Scope, Completed Scope, Uncompleted Scope, Scope Completed Outside, Removed Scope, Unestimated Scope, Re-estimated Scope, Added Scope).
  • Any custom metric (constructed by you via JQL).
    
    across several teams or projects over sprints, months, quarters, half-years, or years in a single view.
• Track trends between two periods.
• Track averages for selected periods.
• Drill down through aggregated periods for analysis.
• Conduct quantifiable retrospectives.

So, if you need any of them, you can find them in the app I developed - Multi-team Scrum Metrics & Retrospectives.

Analysis of the Uncompleted Scope bar:

Trends and averages:

Best regards,
Alexey