ScatterSpoke for Jira

for Jira Cloud
7 installs
  • Supported
Free app

Your AI-Driven Teammate for Development Teams

AI-Driven Actionable Insights

Uncover hidden issues with data-driven retrospectives. Empower your team to address and resolve problems effectively, boosting overall performance.

Continuous Improvement

Implement insights, measure impact, and iterate for growth. This cycle fosters consistent progress, helping your team adapt to new challenges and evolve.

Identify & Resolve Bottlenecks

Pinpoint bottlenecks in your development process using advanced data analysis. Implement targeted solutions to keep your team moving forward at an optimal pace.

More details

Introducing ScatterSpoke, the AI-powered solution for optimizing development team performance. Enhance your team's workflow in four ways: standups, retrospectives, finding bottlenecks, and leveraging AI-driven insights.

ScatterSpoke seamlessly integrates with your tech stack, collecting and analyzing data to identify opportunities. Implement the insights, measure their impact, and iterate for continuous growth. Experience the transformative power of ScatterSpoke in streamlining processes, improving efficiency, and fostering collaboration.

Unlock your engineering team's full potential with ScatterSpoke's AI-driven capabilities, data-driven retrospectives, and focus on continuous improvement.

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


Integration Details

ScatterSpoke for Jira 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.
  • View the profile details for the currently logged-in user.
  • Report user accounts that an app is storing personal data for.

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