Inside Atlassian

The Teamwork Lab

Exploring the future of work through research and experimentation

Our mission is to help every team thrive by making human and AI-powered teamwork feel easy: clear, connected, and focused on what matters most.

The Teamwork Lab is Atlassian’s incubator for teamwork innovation. We apply organizational research and hands-on experimentation to create evidence-based practices that make teams stronger.

Our approach

Study how teams work and what blocks them

Research spans thousands of knowledge workers and
Fortune 500 leaders

Test and refine new ways
of working

Experiments inform products
and practices

Translate insights into clear practices for modern rhythms, rituals, and habits

Teams work better together and get the most out of the tools they use


From research to reality

Our research informs:

How Atlassian teams work

Shaping practices and ways of working internally

How we build our apps

Guiding product design with real team insights

How we support customers

Turning lessons from research into tools and guidance that help teams collaborate better

Meet the research team

Our Featured Research

New grads are 1.5x more likely to use AI daily. Here’s why that matters for your hiring strategy.

Companies are cutting new grad hiring to save money. Atlassian research suggests they’re actually cutting their fastest path to AI adoption.

Stop guessing at AI ROI: A four‑stage framework for real results

Stop guessing at AI ROI: A four‑stage framework for real results

How co-creating AI working agreements drives confidence and clarity

Get your team aligned on the who, what, when, where, and why of using AI.

How a simple team ritual drove a 34% jump in AI alignment

The story of AI at work is often told in big, sweeping terms: platforms, transformations, enterprise rollouts. Those things matter. But day to day, what actually shapes behavior is what teams talk about regularly. So instead of launching yet another AI program, Atlassian’s Teamwork Lab gave an AI upgrade to a ritual we already had: […]