Intelligent Story Point Estimation

for Jira Cloud
  • Supported
  • Jira
Cloud

Leverage Artificial Intelligence for story point estimation in Jira, facilitating sprint planning and team efficiency

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​AI-Powered Estimations

Utilize advanced Machine Learning and Artificial Intelligence (AI) algorithms to analyze past project data, find similar issues and estimate story points.

Customizable Matching Sensitivity

Adjust the fuzzy matching sensitivity to fine-tune the accuracy of the issue matching process according to your needs. Lower the sensitivity to get more similar issue results.

Facilitate Sprint Planning and Backlog Refinement

Streamline and enhance your agile estimation in Jira during sprint planning or backlog refinement. Meetings become more efficient and estimates become more accurate.

More details

The Intelligent Story Point Estimation add-on harnesses the power of AI to streamline story point estimation in Jira, bringing more accuracy and efficiency during sprint planning or backlog refinement. Find similar Jira issues using fuzzy matching algorithms, to provide precise story point estimates based on historical data.

Features

  • Automated Story Point Suggestions: Based on similar issues in the project.
  • Configurable Matching Sensitivity: Adjust the sensitivity of the matching algorithm to control the relevance of the results.

Tips for Effective Use

  • Refine Sensitivity: Adjust the matching sensitivity to find the right balance between relevance and breadth of similar issues.
  • Regular Updates: Regularly update your app settings based on project changes and evolving requirements.

Privacy and security

Privacy policy

Atlassian's privacy policy is not applicable to the use of this app. Please refer to the privacy policy provided by this app's partner.

Partner privacy policy

Resources

Integration Details

Intelligent Story Point Estimation integrates with your Atlassian product. This remote service can:

  • View user information in Jira that the user has access to, including usernames, email addresses, and avatars.
  • Read Jira project and issue data, search for issues, and objects associated with issues like attachments and worklogs.
  • Read and write to app storage service
  • Create and edit issues in Jira, post comments as the user, create worklogs, and delete issues.