Affinity/Relative Estimation for Jira
- Jira Software
Efficiently estimate a large number of user stories in story points by saving time and utilizing relative comparisons
Simplified Story Estimation
Employ a straightforward technique for estimating story size—compare it to previously estimated stories.
This simple comparison method facilitates more accurate and hassle-free project planning.
Swift Estimations with Drag & Drop
Utilize a drag and drop interface to swiftly estimate stories by size, ranging from small to large.
This intuitive approach saves time, enhancing your project management efficiency.
Promote Relative Sizing
By comparing stories to each other, it's impossible to fall back to absolute estimations, thus creating the perfect relative estimates.
This technique is also known by other names, such as Silent Grouping, Magic Estimation, Affinity Estimation, and Swimlanes Sizing. However, they all share the same purpose: providing a fast and efficient way to estimate user stories. Widely adopted across agile methodologies, this technique empowers teams to streamline their estimation process, foster collaboration, and deliver high-quality results within desired timelines.
Privacy and security
Affinity/Relative Estimation for Jira integrates with your Atlassian product. This remote service can:
- Write data to the host application
- Read data from the host application
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