The minimum requirements for a feature are a name, a benefit hypothesis, and acceptance criteria12. A name is a brief and descriptive phrase that summarizes the feature. A benefit hypothesis is a statement that describes the expected outcome and value of the feature for the customer or user. Acceptance criteria are a set of conditions that the feature must satisfy to be accepted by the customer or stakeholder12.

Some additional information that might be helpful for you are:

* The other options (A, C, and D) are not the minimum requirements for a feature, but rather additional or optional elements that may be included in the feature definition.

* Data models are representations of the data structures and relationships that the feature requires or affects. Data models are not mandatory for a feature, but they may be useful for complex or data-intensive features3.

* Priority is the relative importance or urgency of a feature compared to other features. Priority is not a requirement for a feature, but it is a factor that influences the feature selection and sequencing4.

* Non-functional requirements (NFRs) are system qualities that guide the design of the solution and often serve as constraints across the relevant backlogs. NFRs are not specific to a feature, but they may affect the feature implementation or testing5.

* Architecture is the design and structure of the system that supports the solution. Architecture is not a requirement for a feature, but it is an enabler that facilitates the feature delivery.

One method to establish a team's velocity is to compare the average story points completed throughout the previous iterations. This gives an indication of how much work the team can realistically deliver in a given time frame, based on their past performance. To calculate the team's velocity, you can use the following formula: Team velocity = total story points completed / number of iterations. You can also use various charts and tools to visualize the team's velocity and track its progress over time1234

* Velocity in Scrum: How to Measure and Improve Performance - Atlassian

* Discover the Concept of Team Velocity - OpenClassrooms

* A Word on Velocity - LeadingAgile

* Increasing Your Scrum Team's Velocity --- ClearlyAgile

One strategy for managing complex critical path challenges is to adjust work between teams or split Features and Stories. Complex critical path challenges are situations where the delivery of value depends on the completion of multiple interdependent tasks by different teams1. These challenges can cause delays, bottlenecks, and inefficiencies in the value stream. To overcome these challenges, one option is to adjust work between teams or split Features and Stories, so that the dependencies are minimized or eliminated2. This can help improve the flow of work, reduce the risk of integration issues, and increase the flexibility and responsiveness of the teams3.

* Accelerating Flow with SAFe - Scaled Agile Framework

* Managing Dependencies - Scaled Agile Framework

An Operational Value Stream (OVS) is the sequence of activities needed to deliver a product or service to a customer1. Examples include manufacturing a product, fulfilling an order, admitting and treating a medical patient, providing a loan, or delivering a professional service1. An OVS is the system that delivers value to the customer and generates revenue for the enterprise2. In SAFe, OVSs are the primary focus of the Customer Centricity competency, which aims to understand and meet the needs and expectations of the customer3.

Some additional information that might be helpful for you are:

* The other options (A, C, and D) are not systems that deliver a product or service to a customer, but rather systems or concepts that support or enable the delivery of value.

* A Kanban System is a method of visualizing and managing the flow of work in a value stream4. A Kanban System can be applied to any type of value stream, whether operational or developmental, to improve efficiency, quality, and predictability4.

* A Development Value Stream (DVS) is the sequence of activities needed to convert a business hypothesis into a digitally-enabled solution that delivers customer value. A DVS is the system that develops and supports the solutions used by the OVSs. In SAFe, DVSs are the primary focus of the Agile Product Delivery competency, which aims to continuously explore, integrate, deploy, and release value.

* A Dual Operating System is a concept proposed by John Kotter that describes the need for organizations to balance the traditional hierarchical structure with a more agile and networked structure. A Dual Operating System enables organizations to exploit their existing capabilities while exploring new opportunities for innovation and growth. In SAFe, a Dual Operating System is achieved by applying the Lean-Agile Leadership competency, which fosters a culture of learning and empowerment.

Objectives are developed by teams and rolled up to the ART level during PI Planning. Objectives are a summary of the business and technical goals that the teams and the ART intend to achieve in the upcoming Program Increment (PI)1. During PI Planning, each team creates their own team PI objectives, which are then presented and reviewed by the ART and the stakeholders2. The aggregated team PI objectives form the ART PI objectives, which provide a common vision and alignment for the ART3.

* PI Objectives - Scaled Agile Framework

* PI Planning - Scaled Agile Framework