Hello, Atlassian Community!
We're thrilled to announce the release of AI-driven insights in Agile Poker’s Interactive sessions, a new feature designed to improve communication, surface key issue details, and provide intelligent estimation suggestions based on historical data.
Agile teams are all too familiar with this scenario: Everyone comes together for a planning poker session, and immediately, estimates start to vary widely. Some team members have deep context on a work item, while others are coming across it for the first time. The senior developer estimates 2 points, while the junior estimates 13. The product owner is concerned about scope creep, and the QA specialist spots testing challenges that others haven't considered.
These discussions are valuable but time-consuming and sometimes miss critical considerations that only become apparent later in development.
Agile Poker’s Appfire AI acts as an additional team member in your Interactive sessions, bringing objective analysis and data-driven insights into your estimation process.
Here's how Appfire AI enhances team communication and estimation:
Appfire AI examines each issue and highlights potential risks and challenges that might otherwise be overlooked. By highlighting these factors early on, teams can have more meaningful discussions about complexity and effort.
The AI assistant identifies similar past issues and their actual effort, helping teams learn from historical data. This feature is particularly valuable for new team members who may not have the same historical context as more experienced colleagues.
Appfire AI provides an objective viewpoint, free from team dynamics or personal biases. This helps facilitate more balanced discussions and can prevent both over- and under-estimation.
Ready to level up how your team handles estimations? Activating Appfire AI takes just a few seconds, and once enabled, it joins your Interactive sessions as a virtual team member, providing insights and estimation suggestions exactly when you need them.
We invite you to experience how AI can transform your estimation sessions! For more details, visit our Atlassian Marketplace listing or refer to our documentation.
We want to hear from you! Are you looking for ways to improve your estimation sessions? What challenges do you face that you think AI could help solve? Share your thoughts in the comments below and join the conversation.
Derya Ozdemir _Appfire_
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