Digital.ai Agility Integration with Jira
The integration of Digital.ai Agility (Formerly VersionOne) and Jira brings seamless coordination between the product management and development teams, which in turn paves the way for a highly productive, agile delivery chain.
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Digital.ai Agility and Jira Integration Overview
In an Application Lifecycle Management (ALM) environment, the choice of systems and the collaboration between the cross-functional teams play a great role in delivering quality solutions. While the choice of systems impacts a team’s productivity, cross-functional collaboration helps the teams get complete context of the business requirements.
Best-of-breed systems such as Digital.ai Agility (Formerly VersionOne) and Jira bring rich functionalities to the ecosystem. By integrating Digital.ai Agility with Jira, the product management team will have real-time visibility into the development plan as well as the progress of each requirement. It will also give developers clarity on business requirements and customer expectations.
How Digital.ai Agility and Jira integration is beneficial for an enterprise
- Trace the requirement breakdown and associated test cases
- Get complete context of the business requirement and receive real-time updates when there is a change in the plan
- Coordinate on the delivery timelines seamlessly with concurrent updates on changes
- Get full traceability into the Quality Assurance (QA) reports
With Digital.ai Agility and Jira integration, enterprises can:
How OpsHub Integration Manager integrates Digital.ai Agility and Jira
OpsHub Integration Manager integrates Digital.ai Agility (Formerly VersionOne) and Jira bidirectionally. It ensures that all historical and current data is available to each user, in that user’s preferred system, with full context, in real-time. All ‘backlog items’ from Digital.ai Agility along with ‘actuals’ synchronize to Jira giving the development team visibility into the development work and estimated effort hours. The product management team using Digital.ai Agility also has real-time visibility into the development work’s progress; therefore, they can plan the iterations better.
Popularly synchronized entities
Use Case: Digital.ai Agility integration with Jira
Problem statement: The project management and development team are using Digital.ai Agility (Formerly VersionOne) as a project management system and Jira as a development system. If these two systems are not synchronized, the Project Manager doesn’t have clear visibility into efforts taken to complete a task, status of a task, and similar details to plan incoming customer requests.
Solution: When Jira and Digital.ai Agility are integrated, the Project Manager will have real time visibility into the work of development team, which in turn will improve the overall planning and estimation process.
- The Project Manager logs a ‘user story’ in Digital.ai Agility.
- The ‘user story’ synchronizes to Jira.
- The development team breaks the ‘user stories’ into ‘tasks’ in Jira and log their effort hours.
- The ‘tasks’ in Jira are synchronized to ‘Actuals’ in Digital.ai Agility, which is the effort tracking entity.
- The Project Manager, therefore, has clear and real-time visibility into how the development work is progressing.
Benefits of integration for Digital.ai Agility and Jira users
Digital.ai Agility users
- Traceability for business requirements throughout
the ALM tool chain - Visibility into the progress of development work & the QA cycle
- No dependency on manual communication for
making business decisions
Jira users
- Access to the business requirements and associated updates from within Jira
- Complete context of the customer requirements and priorities
- No manual efforts needed to keep product management teams updated on the development status