Learning Center

Welcome to the Rich Filters for Jira Dashboards (Cloud) Learning Center. This documentation hub contains tutorials to help you get started, discover what you can do with the set of gadgets rich filters provide, and learn how to build powerful interactive dashboards quickly.

Rich Filters for Jira Dashboards builds on and extends the issue search and dashboard features of Jira. You should be familiar with the basics of these features before starting the tutorials.

Concepts

Our Concepts article explains the meaning of key terms and concepts you should be aware of when using rich filters.

Getting started

If you want to jump in quickly and build a complete dashboard that shows what rich filters can do — say you've got 45 minutes to evaluate it or build a proof of concept — our getting started guide is for you.

Get started now!

Fundamentals

Our fundamentals series is an alternative to the getting started guide above, providing a deeper dive into rich filters. In each tutorial, you'll explore a core piece of functionality in detail — understanding why it is important, what it can do, and what its key use cases are — and build up an illustrative example that you can refer back to and use as inspiration for your projects.

These tutorials are designed to be standalone, so you can jump into topics of interest as you see fit. However, we recommend tackling them in order, and beginners to Rich Filters for Jira Dashboards should start with the first article.

Advanced

These articles cover more advanced topics you will want to learn about once you've mastered the fundamentals of Rich Filters for Jira Dashboards.

Functional recipes

Our functional recipes assume that you already know the basics of Jira and Rich Filters for Jira Dashboards. They show how to combine multiple features to create complete use cases that provide solutions to common requirements.

Related topics

  • If you are looking for reference material, you should check out the following resources:

  • See our Release Notes for information on new rich filter features and when they were added to the product.