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 CLOUD only
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.