Project Management is changing. Or maybe it already has.

Whether you've never used AI before, occasionally ask ChatGPT for help, or already have AI built into your daily workflow, this series is designed to help you take the next step. Throughout this 6-week masterclass, we'll combine proven project management practices with Atlassian Teamwork Collection—including Jira, Confluence, Loom, and Rovo.

Ep - 4 - Turn your project data into meaningful insights.

In this session, we'll cover:

Building dashboards that answer real business questions — Create Jira dashboards that provide clarity for teams, stakeholders, and leadership.

Using JQL to uncover insights — Go beyond basic filters to find risks, bottlenecks, and delivery trends.

Understanding delivery metrics that matter — Learn how to interpret velocity, cycle time, lead time, burndown, and other metrics without getting overwhelmed.

Using AI to explain trends and forecast outcomes — Let AI surface risks, summarise project health, and support better project decisions.

By the end of this session, you'll be able to:

- Build dashboards that support better decision-making.

- Write practical JQL queries to answer project questions.

- Understand which delivery metrics matter—and when.

- Use AI to analyse project health and communicate progress with confidence.

--

Hosted by Atlassian Community Champion Sajit Nair, Follow the complete 6-week journey here →

Ep 1 - From project idea to your first Jira project 

Ep 2 - From business goals to executable work

Ep 3 - Keep teams aligned and delivery predictable

Ep 4 - Make Better Decisions with Data

Ep 5 - Scale Projects with Confidence

EP 6 - Lead a Real Project from Start to Finish