Confluence for project managers: Streamline project collaboration and knowledge sharing
Effective project management requires efficient collaboration, especially when managing multiple projects at various stages of the project lifecycle simultaneously.
The tools your team uses can make all the difference between a project managed well or a project totally fumbled. According to Microsoft, 64% of people say collaboration tools incompatible with the rest of their tech stack make it difficult for cross-functional work to take place.
The solution is one source of truth that can handle file management, internal communications, and project planning as you move through the multiple stages of your project.
This is where Confluence comes in.
Confluence is a digital workspace that helps project managers drive team alignment, stay organized, and increase productivity. Instead of logging into multiple places to find information about a project, your team can access everything they need in one place. But it’s not just a document repository — your team can collaborate directly in Confluence across different time zones, in real time or asynchronously.
In this post, we’ll show you how you can use Confluence to create a single source of truth, reduce tool sprawl, and better collaborate across teams so your work life gets a lot easier.
Confluence + JIRA = Project managed
What makes Confluence so powerful is that it can connect to the rest of your tech stack, including Jira. Each step in the project — and each ticket that you create — can include links to the right documentation and resources. That goes both ways: You can include Confluence links in Jira tickets and add your Jira tickets directly to Confluence pages. And when someone closes a ticket in Jira (one more step done!), that status update is reflected in Confluence, so there’s no need to double back and update it there or in connected tools.
As you build project reports or spin up status updates to stakeholders, you can streamline the process by asking Atlassian Intelligence to analyze blocked issues or dependencies. With AI, you can also get insights into performance data like create-to-completion stats. For instance, you can ask it to tell you the length of each task’s life cycle, broken down by categories like bug fixes and new features, and set up contingencies for tasks that take a certain amount of time.
Our virtual assistant can also speed up regular inquiries like gaining access to tools or documents or when a certain asset is due — freeing you up to focus on moving the project to the finish line.