Scaling Agile Requirements Competency
Business Problem
We struggle to create clearly defined Agile requirements that connect strategy and execution, resulting in rework and delays.
Business Outcomes
- Creation of a robust scaled Agile requirements model, providing alignment and transparency.
- Clear connection of requirements from strategy through execution
- Reduced rework and waste due to a clear and shared understanding of requirements.
- Enhanced ability to respond to changing customer needs and market demands.
Why is the Scaling Agile Requirements Competency important?
The traditional approach to defining requirements often relies on lengthy, fixed, and up-front documentation, which is frequently based on unvalidated assumptions. This leads to ambiguity, misinterpretation, and significant rework as business needs and technical realities evolve. This rigidity hinders an organization’s ability to adapt quickly to dynamic market changes, resulting in wasted effort defining the wrong thing and ultimately leading to delays, increased costs, and frustrated teams. To address these challenges, requirements should evolve in tandem with the system’s development as learning occurs and knowledge increases.
SAFe is built around Lean-Agile product development flow with a focus on delivering business value. Effective requirements provide the foundation for this by:
- Aligning Work to Value: They ensure that all development efforts are focused on work that provides the highest value to the customer and the business.
- Facilitating Flow: They enable Lean practices by managing a scaled work hierarchy (epics, features, user stories). Additionally, they enable the organization to control work in process (WIP), which is crucial for predictable flow and a fast time-to-market.
Mastering this competency shifts the focus from writing perfect, static documents to fostering a continuous, collaborative process for creating, refining, and validating requirements. This competency will cover:
- The key types of requirements in SAFe, their importance, and how to start writing them.
- How to utilize a scaled requirements model to establish connections between strategy and execution.
- Common techniques for creating requirements that enhance quality and collaboration across technical and business roles.
Which roles would benefit from mastering this competency?
This competency is designed for individuals responsible for creating, prioritizing, and utilizing requirements to develop products or solutions. This includes Product Owners and Product Managers, Agile Team members, Scrum Masters/Team Coaches, System and Solution Architects, Release Train Engineers (RTEs), Portfolio Leadership, Epic Owners, and Business Owners.
Learning about Scaling Agile Requirements
SAFe uses a hierarchy of backlogs to ensure a seamless connection between the highest-level strategy and daily team execution, Figure 1. This process is driven by key leadership roles collaborating across the organization as follows.
- Portfolio Leaders and Enterprise Architects define and prioritize high-level, strategic portfolio epics, as well as the necessary large-scale enabler epics (i.e., exploration, architecture, infrastructure, and compliance) to support the overall portfolio. Epic Owners focus on the emergent lean business case, while Enterprise Architects ensure the technical feasibility and alignment with the long-term technical vision. This work makes up the portfolio backlog.
- Product Management and System Architects translate approved Epics into tangible, valuable product increments, called features, that fit within a Product Increment PI. System Architects refine the technical approach and define the necessary enablers that extend the architectural runway. Product Management owns the ART backlog and prioritizes these features and enablers in collaboration with stakeholders.
- Product Owners (POs) and Agile Team members are responsible for delivery, breaking down features into small, testable user stories and the necessary enabler stories that can be completed within a single iteration. The PO sequences the team backlog, and the Agile Team (of which the PO is a part) is responsible for aligning on the acceptance criteria required for implementation.
Through this approach, epics enable the business to establish its strategic direction while empowering the ART and individual Agile Teams to make decentralized decisions about implementation details via features and stories.
NOTE: It is important to note that not all valuable work originates as a top-down epic work breakdown. ARTs and individual Agile Teams are empowered to discover, define, and implement local improvements, maintenance, and technical debt resolution (as features, stories, and enablers) that align with the broader strategic intent but do not require formal traceability back to a portfolio epic. This is essential for fostering a culture of continuous improvement, maintaining the architectural runway, and allowing local innovation, which are critical elements of decentralized decision-making in SAFe.
By recognizing the role of each requirements type—epics identify solutions to high-level business problems, features describe product value increments, and stories hold the implementation details—SAFe empowers the roles described above to make decentralized decisions. This means Product Owners and Agile Team members are given the autonomy to determine how to implement a story, fostering local innovation and technical ownership while still ensuring the work aligns with the strategy as defined by portfolio leadership.
Requirements, especially epics, are treated as hypotheses (for example, “Implementing X will result in Y”) to be validated through objective evidence. Techniques like spikes and the implementation of a Minimal Viable Product (MVP) enable rapid learning, allowing the organization to pivot or persevere based on real data, rather than relying on fixed assumptions. This hypothesis-driven approach ensures the work remains focused on delivering actual business outcomes.
Below are definitions of each requirement type. If you are not familiar with the related SAFe guidance article, it is recommended that you read each one before moving to the applying section of this competency.
Epic
An epic is a very large business or technical initiative that usually requires significant investment and spans multiple PIs, often also multiple ARTs. Epics may be created by the Portfolio level and represent an organization’s strategic goals, or they may be created at the ART level, covering a major investment for a single ART. They are often treated as hypotheses to be tested and are approved based on their anticipated economic value relative to other epics that could be worked on. This prioritization method is designed to ensure that the portfolio allocates time, money, and focus to the most impactful opportunities. They are not the same as projects; their oversight, execution, and success measures differ greatly.
Feature
A feature is a distinct piece of system functionality that fulfills a stakeholder need. Features are smaller than epics and are typically delivered by a single Agile Release Train (ART) within a single PI. Features are written with a focus on functionality that will deliver business and customer value. They are prioritized using Weighted Shortest Job First (WSJF) to maximize the economic benefit delivered to the customer.
Story
A story is the smallest unit of work in SAFe, typically written from the perspective of a user or system. An Agile Team should be able to implement and test a story within a single two-week time period, called an iteration. Teams often employ practices such as Behavior-Driven Development (BDD) and Test-Driven Development (TDD) to ensure clarity and quality.
Enabler
An enabler is a type of story, feature, or epic that includes exploration, architecture, infrastructure, and compliance work. Enablers are essential because they establish the architectural foundation that enables future business features to be delivered more quickly and reliably. They often represent intentional architecture decisions in contrast to the emergent designs that Agile Teams surface during their daily work. When requirements are ambiguous or the technical approach is uncertain, enablers can be used for exploration, research, or prototyping to ‘spike’ out an approach.
Ensuring System Quality with Non-Functional Requirements
It should also be noted in Figure 1 that non-functional requirements (NFRs) constrain each of the backlogs. In addition to the work items previously mentioned, NFRs address the system’s quality attributes. Common types of NFR include performance, security, availability, and accessibility. It is essential to provide a rationale and context for all NFRs by explaining the business or user need behind the constraint, as understanding the “why” empowers developers to find innovative solutions to meet the requirement. The following article explains NFRs in more detail.
NFR
Non-functional requirements (NFRs) are essential system qualities—such as performance, security, reliability, and scalability—that guide the design of the solution and often act as constraints across the relevant backlogs. Neglecting NFRs leads to the accumulation of technical debt and a system that is difficult to maintain and evolve. Agile requirements management integrates NFRs early in the process and uses them to establish clear quality standards.
Using Backlogs to Visualize and Sequence the Work
A clear visualization of the work to be done is a cornerstone of Agile requirements management. The backlog remains the ultimate source of truth for prioritization and managing progress, and to ensure that the highest-value work is delivered first. To fully apply this competency, please review the following backlog articles. Then, in the application section, you will put this knowledge into practice.
Team Backlog
The team backlog holds all the work a team might need to enhance the solution. It contains user stories, enablers, and work items, such as improvement stories that may have been identified during retrospectives or Inspect and Adapt (I&A) events. This includes stories originating from features in the ART backlog and those from the team’s local context.
ART Backlog
The Agile Release Train (ART) and Solution Train backlogs capture the upcoming features, capabilities, and nonfunctional requirements (NFRs). Product Management is responsible for the ART backlog, while Solution Management is responsible for the Solution Train backlog. Kanban systems help manage and visualize each backlog. The backlogs are regularly refined and prioritized to deliver to customers the most valuable features and capabilities.
Portfolio Backlog
Portfolio Leadership is responsible for developing, maintaining, and prioritizing the portfolio backlog. They actively collaborate with other stakeholders to identify the epics needed to advance the portfolio’s products and solutions.
Applying the Scaling Agile Requirements Competency
This section provides an overview of the foundational knowledge required for scaled Agile requirements, covering the full lifecycle. It begins with the high-level strategic epic and traces its journey through feature refinement, prioritization, and decomposition into executable stories, ultimately leading to the release of value (Figure 2).
This section also serves as a practical guide to understanding how the various requirements work within SAFe’s events and cadences (PI Planning, iterations, System Demos, and so on) to ensure that strategic intent is translated into tangible, valuable product increments delivered to the customer. By walking through this end-to-end flow (Figure 2), we illustrate how to maintain alignment, maximize economic value, and ensure the continuous integration, testing, and demonstration that is the hallmark of effective Agile requirements management.
Scaled Agile Requirements Flow: From Strategy to Release
This explanation assumes that an epic has been created and approved for further decomposition by Portfolio Leadership.
1. Decomposing Epics into Features
Since epics are too large to be delivered within a single PI, they must be systematically broken down. As we learned before, features are the smaller, distinct, and value-delivering units that ARTs work on. This step ensures the high-level vision is translated into manageable increments that can each be delivered within the Agile Release Train’s (ART) PI cadence. Each feature must be articulated clearly enough to stand alone as an increment of product value and be accompanied by a benefit hypothesis and acceptance criteria.
For a newly prioritized epic, organize a focused, collaborative session involving the Epic Owner, Product Management, System Architects, and key team members, including Product Owners. Quickly articulate 5-10 potential high-value features stemming from the epic. Often, it can be useful to focus on identifying the highest-value features that prove or disprove a core assumption about the epic hypothesis. Review these features against the epic’s lean business case and ensure they can reasonably fit into a single PI for an ART. This immediately translates a strategic goal into manageable, valuable increments.
SAFe Skill: Writing Effective Features
In this SAFe Skill, you will learn to create well-crafted Features that are effective, actionable, and deliver value quickly. You’ll learn how Features are used in SAFe to deliver value, what makes a well-crafted Feature, and how to identify the consequences of poorly-crafted Features. You’ll also get a chance to evaluate, improve, and practice writing Features. This e-learning will guide you through 13 short self-paced lessons, which can be completed in approximately 60 minutes.
2. Prioritize Features in the ART Backlog
The ART backlog provides a holding pattern for upcoming features. Prioritization is key to maximizing the economic benefit delivered. Product Management prioritizes features in the ART Backlog using Weighted Shortest Job First (WSJF). This prioritization method helps the ART focus on the items that deliver the highest value fastest, optimizing for flow and a fast time-to-market. A continuous prioritization process is necessary, as new information, market demands, or technical challenges may shift the optimal sequence.
3. Decompose Features into Stories and Plan
During PI Planning, the ART plans to deliver a set number of features. This commitment is based on a shared understanding of the feature’s scope and the necessary enablers required to build any supporting architectural runway. To provide this understanding, the Product Owner (PO) and the Agile Team collaborate to break down each feature into small, testable chunks of work called stories. A story is the smallest unit of work, designed to be completable within a single Iteration. Outside of the PI Planning event, the stories are further refined to include clear acceptance criteria, often using techniques like Behaviour-Driven Development (BDD), which transforms vague requirements into clear, executable, and testable work. This decomposition empowers the team by giving them ownership of the implementation details, i.e, how the work is done.
4. Integrate, Test, and Demonstrate Stories
The true measure of the effectiveness of an Agile requirement is the working change to the product or solution that it produces. Within each iteration, each Agile Team builds, integrates, and tests its committed stories. To support this implementation work and prevent the accumulation of partial, untested work, a definition of done can be applied across each increment of the product or solution being developed (Figure 3.)
System Integration and Testing: The frequent integration point—ideally continuous—is mandatory. All teams within the ART often integrate their code, features, and stories. Done well, this integration makes it extremely difficult for ambiguous requirements to linger or technical interfaces to drift apart. This fast feedback loop ensures that the requirements truly work together and effectively meet the business’s goals.
Demonstration and Validation: The Iteration Review is a critical event where working, integrated Stories are demonstrated and feedback is provided within an Agile Team, its PO, and relevant stakeholders to the work being reviewed. Teams that choose to use Kanban will still demonstrate and validate their work with each iteration to their team members and relevant stakeholders; they may simply adhere to a formal timebox, as SAFe Scrum Teams do. At the PI level, the System Demo presents the integrated features for the entire ART. These demonstrations provide the essential validation that the requirements, as implemented, deliver the intended business value, allowing stakeholders to provide early feedback and trigger necessary adjustments for the next cycle.
5. Release Features and Enhance the Product or Solution
The ultimate goal of this entire process is to deliver tangible value to the customer. Once Features have been successfully integrated, tested, and validated across the ART, they are ready for release. SAFe advocates for Continuous Delivery, meaning Features are released to the end-user as soon as the business deems it necessary and valuable, potentially independent of the PI cadence.
6. Review Features and Progress on a PI Cadence
The PI cadence ensures that the team’s work is constantly reviewed and adjusted, with the longer-term plan remaining flexible based on emergent learning. At the end of the PI, the PI System Demo provides validation of the full set of PI objectives and a review of the fully integrated product or solution that the ART has developed and improved throughout the PI. Learning from this milestone is taken forward into the next PI Planning event and helps to determine the next set of prioritized features. During the Inspect & Adapt (I&A) event, flow metrics are analyzed alongside quality metrics to identify bottlenecks and adjust team practices to improve the speed and quality of work.
Mastering the Scaling Agile Requirements Competency
Mastering this competency means that an organization consistently and efficiently defines, prioritizes, and validates Agile requirements at scale, ensuring that all development efforts drive measurable business outcomes. The organization has moved beyond ambiguous requirements to achieve a true, shared understanding, which has significantly reduced waste and accelerated time-to-market.
Key Indicators of Mastery
The following behaviours and practices are a good indication that mastery has been achieved. Consequently, if they are not in place, they become a focus for improvement.
- Consistent focus on quality: Teams consistently use acceptance criteria and the definition of done to provide clarity and ensure continuous validation.
- Value-driven alignment: All ARTs consistently use objective, economic prioritization models, such as WSJF, to sequence work, linking every feature directly to a clear, anticipated business outcome.
- Connected feature and enabler flow: There is a continuous flow of both new business features and the necessary enablers, often supported by a dedicated capacity allocation for extending the architectural runway.
- Balance of emergent requirements: Agile Teams, Architects, and Product Management have created a balance between intentional architecture (top-down guidance) and emergent design (bottom-up refinement).
- Continuous learning: The organization is adept at using spikes, prototypes, and learning milestones to treat all significant requirements as hypotheses to be tested, not as fixed specifications.
- Sequencing the ART and team backlogs with a flow mindset: The work items that maximize the flow of value are prioritized for each Iteration. Work that is not yet a priority is not over-defined.
- Utilizing Iteration Review to incorporate feedback: Actively incorporate stakeholder feedback during the Iteration Review on completed stories.
Community Contribution: Enterprise Backlog Structure and Management
In this Community Contribution, guidance from SAFe Fellow Charlene Cuenca describes the collaborations that can assist with managing Agile requirements in a scaled environment.
AI-Enabled Agile Requirements
The integration of Artificial Intelligence (AI) offers powerful opportunities to enhance requirement creation and flow:
- Automated Epic-to-Feature Decomposition: AI can analyze approved epic business cases and generate draft feature proposals, complete with initial acceptance criteria.
- Enhanced WSJF Prioritization: ML algorithms can process real-time data (e.g., market demand, complexity estimates, dependency risks) to refine and suggest optimal WSJF feature prioritization.
- BDD/Acceptance Criteria Generation: AI can listen to refinement events or read draft user stories and stakeholder input to automatically generate precise, BDD-style (Given-When-Then) acceptance criteria, improving clarity and testability.
- NFR Compliance Checks: Tools can continuously scan stories and features against defined NFRs and architectural standards, flagging potential compliance gaps early.
- Bottleneck and Flow Analysis: AI can analyze flow metrics to proactively identify bottlenecks, predict potential delays, and suggest optimal adjustments to the Team and ART Backlog sequencing.
- Requirement Ambiguity Detection: NLP (Natural Language Processing) tools can scan requirements to identify vague language, inconsistencies, or lack of clarity, ensuring a shared understanding before development begins.
- Test Case Synthesis: Based on defined stories and acceptance criteria, AI can automatically generate comprehensive test cases and test data, improving the speed and quality of integration and testing.
Self-Assessment Questions for Scaling Agile Requirements
This self-assessment provides a simple method for evaluating your progress towards the application and desired outcomes of this competency.
- When defining an epic, do you consistently treat it as a hypothesis to be validated?
- When decomposing an epic, do you start with the features defined specifically to validate or invalidate the riskiest assumptions (desirability, feasibility, viability)?
- Do you use Weighted Shortest Job First (WSJF) or a similar economic prioritization method to sequence features?
- Do Product Managers actively collaborate with System Architects to identify, prioritize, and allocate capacity for the necessary Enablers to maintain and extend the Architectural Runway?
- Are non-functional requirements (NFRs)—such as security, performance, and reliability—documented, prioritized, and considered as constraints across all backlogs?
- Is there a consistent process within your team or ART to ensure that stories are built, integrated, and demonstrated to relevant stakeholders for feedback each iteration?
- Can you trace stories back to a feature and, where applicable, the Epic it was intended to fulfill, confirming alignment with business strategy?
- Do you and your team regularly analyze flow metrics to identify and remove bottlenecks in the requirements definition and development process?
Fixing a Broken Requirements Flow at Commercemart
Commercemart, having established its foundation in responsive roadmapping, now faced the inherent challenge of translating strategic initiatives into tangible, executable work across its numerous ARTs. The Scaling Agile Requirements Competency became their immediate focus, driven by the realization that their biggest bottleneck was no longer planning a path, but the quality and connectivity of the work across backlogs. Product Management teams struggled with epics that arrived with vague business cases, resulting in feature definitions that lacked a clear, testable value hypothesis. This resulted in ARTs frequently having to stop development mid-PI to clarify scope, creating the exact rework and waste the competency was designed to eliminate, ultimately slowing down their ability to respond to dynamic e-commerce market demands.
Portfolio and product leaders, along with the RTEs, decided to move forward with the “Launch Global Subscription Service” epic, a major strategic investment for the upcoming fiscal year. Instead of immediately writing hundreds of technical features, the Epic Owner, Product Manager, and System Architect held a focused workshop to identify the riskiest assumption: Desirability. They hypothesized that European merchants would not adopt the subscription without a specific multi-currency invoicing feature. This single, critical assumption drove the definition of the first feature: a simple, multi-currency invoicing feature for only five test merchants.
This shift in focus immediately streamlined the ART’s work. The Product Manager prioritized this feature using Weighted Shortest Job First (WSJF), explicitly giving a higher value for the “Risk Reduction” component. As the feature moved into the ART backlog, the Product Owner (PO) for the “Payment Engine” team scheduled a dedicated story refinement session. In this session, the team broke down the feature into stories, defining the “Given-When-Then” acceptance criteria collaboratively before any code was written. For example, a core story was defined: “Given a merchant is set to EUR, When they view the invoice page, Then the final amount is correctly displayed in EUR and USD conversion is visible.”
This new, rigorous flow—from a strategic hypothesis to a clear, testable story—transformed the team’s velocity and clarity. The feature was built, integrated, and demonstrated successfully in the first two iterations, validating the critical desirability assumption with real-user feedback. The success of this pilot provided Commercemart with tangible evidence that mastering the Scaling Agile Requirements competency was the essential step in achieving a continuous, high-quality flow of value. It confirmed that their roadmaps would only truly be delivered in Lean-Agile ways when the underlying requirements were clear, testable, and deeply connected to strategic business outcomes.
Continuing your Journey through the SAFe Competencies
Harnessing Customer Feedback
Embedding customer feedback into every stage of product development not only enhances the flow but also creates products that users genuinely want and value. This competency will examine the various lenses a product must consider to create a robust customer feedback system.
Measuring Product Performance
This competency will guide you in effectively measuring and analyzing product performance across business outcomes, user engagement, user satisfaction, and technical health. This comprehensive understanding will empower you to make data-driven decisions, align product development with strategic goals, and ultimately drive continuous improvement and success for your products.
Last Update: 1 December 2025