Teams | Collaboration | Customer Service | Project Management

The thing nobody says out loud during a tool migration is the real fear underneath it: what if we lose everything? Years of conversations, decisions buried in threads, the context that makes a team actually understand itself – gone in one messy export. And it’s not just a technical worry. If you’re the one making this call, you’re carrying more than a checklist.

Most communication problems stay hidden while the right people are still around. A project manager knows where the final contract lives. A contractor remembers which client group is still active. Someone on the sales team knows why a supplier was moved to a different thread. None of it feels fragile, because the people carrying the context are still one message away.

As distributed and hybrid work become the default operating model in 2026, a new productivity dilemma is emerging for organizations: How can organizations measure remote employee productivity without setting up a system that causes exactly the opposite- a loss of focus, engagement and sustainable performance? Productivity monitoring tools have long relied on visible activity.

Performance management has been broken in most organizations for a long time. It was designed for offices, where managers could track progress through proximity and ambient visibility. Remote work removed the ambient visibility. AI is now removing the need for most traditional performance proxies.

Brainstorming at the start of a project is hard. Who hasn’t stared at a blank document, wondering how to begin? Reaching for AI can feel like an easy way to get started, especially at first. But at Atlassian, we believe that AI should amplify human judgment, not replace it. The Teamwork Lab wanted to investigate when it’s most effective to introduce AI into the brainstorming process. Does the timing of AI introduction affect a team’s creativity?

How Rocket.Chat and Virtru close the security gap in classified collaboration with attribute-based access control (ABAC). In a classified operation, the person who had access to a room when they joined it may not be the person who is authorized to be there right now. Clearances change. Program assignments change. People rotate on and off missions, on base and off base, sometimes overnight.

See where IT run cost leaks before you transform. Use real tool-usage data to shift the run-vs-change ratio and retire redundant licenses.

Pick an animal. Now pick the strengths you bring to your work. Combine the two, and you’ve built yourself a superhero. That was the warm-up exercise H&M Group used to open an AI Learning Day for its tech teams, and it set the tone for everything that followed: you come to the table with your superpowers, and AI handles the mundane.

Most workforce decisions still run on instinct. Here՚s what changes when work data replaces assumptions across distributed teams.

How to document a process so it stays accurate, the L1 to L3 hierarchy, and why most process documentation is out of date within months of being written.