Intro to Agile Poker for Jira

Welcome to Agile Poker for Jira!

Looking for a way to improve your estimations and plan more accurately? Meet Agile Poker for Jira – the estimation toolkit created for Agile teams by experienced Scrum Masters. Agile Poker offers four methods of joint estimation with a proven track record on over 2,000 Jira instances of all sizes.


  • Fully featured Planning Poker® directly in your Jira Software backlog view.

  • Flexible estimation values

  • Epics & sub-tasks estimation

  • Interactive Session

  • Asynchronous Session

  • Relative Session

  • Bucket Sizing Session (Cloud only)

  • Unbiased voting

  • Slack integration

  • Multi-Field Estimation Session

  • Public/Private Sessions

  • Built-in Triangulation feature for referencing. 

  • Built-in timers allowing to time-box your sessions.

Here is a quick review of Agile Poker’s main components:

Interactive Session

This session is based on Planning Poker®. Perfect for teams collaborating within the same time zone, it ensures active participation from all team members, regardless of whether they are remote or co-located. The interactive nature of the session encourages consensus-based estimations.

Asynchronous Session

This session is based on Wideband Delphi. It’s irreplaceable for distributed teams, but it can also benefit any team seeking asynchronous estimation. This method is highly efficient and fosters consultation-based estimations. Above all, it allows you to unlock the potential of collaborative estimation, regardless of geographical boundaries or time constraints.

Relative Session

This session is inspired by Magic Estimation Game, also known as “silent grouping” or “affinity estimating”. It can easily be adopted by teams without a big estimation background. It’s perfect for making quick rough estimations of a large batch of issues, but it’s also valuable for a smaller number of issues that require in-depth discussion and detailed estimations.

Bucket Sizing Session

This session is based on Swimlane Sizing. This particular approach is tailored for teams with well-established estimation practices, allowing for swift and efficient sessions. It enables teams to rapidly gauge the size and complexity of tasks, utilizing buckets as visual aids.