
In the world of Agile at scale, managing Release Train coordination within the SAFe framework is essential for achieving successful, large-scale delivery. One of the key components in ensuring smooth coordination across multiple Agile teams is understanding and managing Program Increment (PI) objectives and dependencies. This blog post dives deep into how these elements play a crucial role in aligning teams and ensuring the Agile Release Train (ART) delivers value consistently and effectively.
A SAFe Agile Release Train (ART) is a virtual organization of multiple Agile teams that work in synchrony to deliver value to customers. The ART operates on a cadence, often consisting of several teams that collaborate on a program-level initiative. It works towards a common goal, often measured by PI objectives.
A Program Increment (PI) is a timeboxed period (usually 8-12 weeks) where teams work on defined objectives and deliverables. The coordination of work across ARTs is crucial to ensure that the value stream stays aligned with the business goals.
PI objectives represent the high-level business goals that a team, or a group of teams within an ART, aims to achieve during a particular PI. These objectives can be both business and technical in nature, and they form the basis for aligning the ART's work with the organization’s larger goals.
Each team commits to specific PI objectives, which are reviewed and adjusted during the PI planning event. These objectives are then broken down into smaller work items and epics that are distributed across Agile teams.
However, managing these PI objectives is not just about setting goals. It involves close coordination between the teams, constant monitoring of progress, and effective handling of inter-team dependencies.
Dependencies in the context of ART refer to the work that needs to be completed by one team before another team can proceed. In large-scale Agile implementations, these dependencies often become complex and challenging to manage. They can include technical dependencies, resource constraints, and even organizational barriers.
Managing dependencies across ARTs requires clear communication and detailed planning. The following approaches can help streamline this process:
Identify Dependencies Early: During PI planning, each team identifies the work dependencies they have with other teams. These dependencies must be visualized and managed at the program level. It’s essential to have a clear understanding of who is waiting on what, so it doesn't cause delays.
Create a Dependency Board: Similar to Scrum’s task board, ARTs can use a dependency board to visualize these dependencies. This board helps identify when one team’s progress is blocked by another’s, allowing teams to take corrective actions quickly.
Establish a Dependency Owner: To ensure dependencies are properly tracked and managed, appointing a dedicated person or role to own these dependencies can help ensure progress is made. This person is responsible for tracking, resolving, and communicating dependencies throughout the PI.
Use Cross-team Syncs: ARTs can set up cross-team syncs or coordination meetings where teams from different disciplines (e.g., development, testing, product management) meet regularly to discuss dependencies and resolve potential blockers.
Collaborate on Problem-Solving: If a dependency is causing a delay, the team responsible for the dependency should collaborate closely with the other team to find a solution. Collaboration is key to overcoming bottlenecks.
PI planning is an event that brings all the teams within the ART together to align their goals for the upcoming Program Increment. This is when teams:
Define the PI objectives.
Break down the work into smaller pieces and assign them to appropriate teams.
Review and adjust dependencies.
Commit to their deliverables for the PI.
The importance of PI planning cannot be overstated. It provides a platform for addressing potential risks and aligning teams on shared goals. It’s the time when all the dependencies and objectives are discussed openly, making it possible to address concerns before they affect delivery timelines.
One of the key outcomes of PI planning is the creation of a Program Board that highlights critical dependencies and objectives across teams. This board serves as a key communication tool throughout the PI, ensuring that teams are aware of each other's progress and challenges.
After PI planning, tracking the progress towards PI objectives becomes crucial. This involves:
Regular Check-ins: Weekly or bi-weekly check-ins help in understanding if the teams are making progress towards their PI objectives. These reviews help identify if the objectives need to be adjusted based on emerging insights.
Feature and Epic Tracking: Tracking the progress of features and epics that contribute to the PI objectives ensures that work stays on track. Teams should be able to identify if any features are in jeopardy of not being completed by the end of the PI.
Adjusting During System Demos: At the end of each iteration, teams should hold a system demo to showcase their progress towards achieving the PI objectives. These demos help teams identify if any adjustments are needed to meet their goals by the end of the PI.
One of the biggest challenges in managing ARTs is ensuring that the PI objectives align with broader business goals. The SAFe framework emphasizes alignment between teams, ARTs, and business leadership to ensure that the work being done directly contributes to the organization’s success.
To align PI objectives with business goals:
Understand the Vision: Product management and leadership need to communicate a clear vision for the upcoming PI. This vision should be based on strategic business goals, and it’s important that everyone involved understands the "why" behind the objectives.
Collaborative Backlog Refinement: Backlog refinement should involve not just the development teams, but also stakeholders from business and product management. This ensures that the highest-priority objectives are worked on first and align with the organization’s business strategies.
Review Business KPIs: Reviewing business KPIs at the start and end of each PI ensures that the objectives directly contribute to the desired business outcomes.
Even with clear objectives and well-managed dependencies, ARTs often face common challenges that can delay progress. These challenges include:
Unclear Communication: Communication breakdowns between teams or between business and development can result in misalignment. Regular communication and feedback loops during the PI help in addressing this.
Lack of Ownership: When no one owns a dependency or objective, it often gets overlooked or forgotten. Appointing specific roles or people to own certain parts of the process ensures accountability.
Change Management: Business requirements or market conditions often change, which might lead to shifting priorities or objectives. SAFe encourages flexibility, but also emphasizes the need to adapt quickly to change.
Managing Release Train coordination with PI objectives and dependencies requires careful planning, clear communication, and a commitment to aligning business and technical goals. When done right, it enables multiple teams within an ART to work in harmony, delivering value consistently and efficiently.
To gain deeper insights into managing the SAFe Product Owner/Product Manager role, you can explore SAFe POPM Certification, which offers detailed guidance on handling dependencies, objectives, and ART coordination.
For those seeking to further their skills, the SAFe Product Owner Certification can provide a solid foundation in managing these critical components of the SAFe framework.
Additionally, for a comprehensive understanding of scaling Agile practices across large organizations, check out SAFe POPM Training, which dives into these concepts in greater detail.
SAFe Framework Overview: A detailed overview of the SAFe framework and its core principles.
SAFe PI Planning Best Practices: Key practices for effective PI planning in large-scale Agile environments.
By aligning your ART’s work with PI objectives and managing dependencies effectively, your teams can consistently deliver high-quality solutions that meet both business and customer expectations.
Also read - Collaborating with System Architects to Refine Non-Functional Enablers
Also see - Structuring Value Streams for Technical Product Delivery Efficiency