Feature estimates are aggregated back into the Epic estimate as part of which artifact?
Feature estimates are aggregated back into the Epic estimate as part of the lean business case. The lean business case is a lightweight and collaborative artifact that captures the rationale, assumptions, and financial projections for an Epic. The lean business case includes the Epic value statement, which consists of the value proposition, the benefit hypothesis, and the Epic estimate. The Epic estimate is the total effort required to implement the Epic, expressed in story points. The Epic estimate is derived from the sum of the Feature estimates, which are the effort required to implement each Feature that contributes to the Epic, also expressed in story points. The Feature estimates are aggregated back into the Epic estimate as part of the lean business case to provide a realistic and data-driven projection of the cost and duration of the Epic.
Lean Business Case - Scaled Agile Framework
Feature estimates are aggregated back into the Epic estimate as part of ...
Who commonly facilitates the PO Sync event?
The PO Sync is an ART event used to gain visibility into the ART's progress toward meeting its PI objectives and to make any necessary adjustments. The PO Sync is commonly facilitated by the Release Train Engineer (RTE), who is the servant leader and chief Scrum Master for the ART. The RTE helps to coordinate the PO Sync by inviting the Product Owners and Product Management, setting the agenda, managing the timebox, and resolving any impediments or conflicts.
Product Owner (PO) Sync - Scaled Agile Framework
Release Train Engineer and Solution Train Engineer - Scaled Agile Framework
5 Practices to Start Scaling Agile by Mike Hall | Agile Velocity
Which element of Solution Intent helps drive a Solution Roadmap?
A product vision is a statement that describes the desired outcome and value proposition of a solution. It helps guide the development of the solution by providing a clear and compelling direction. A product vision also helps drive a solution roadmap, which shows the planned features and milestones for the solution over a timeline. A product vision is part of the solution intent, which is the repository of the current and intended solution behavior and design.
Which statement is true about designing a data strategy?
Designing a data strategy is the process of defining the vision, goals, principles, and governance of data and analytics in an organization. A data strategy should align with the business strategy and enable the delivery of value from data and AI initiatives. Designing a data strategy requires collaboration between Product Managers and their Customers, as they are the ones who understand the needs, problems, and opportunities of the market and the users. Product Managers and Customers should work together to identify the data sources, use cases, metrics, and feedback loops that will inform the data strategy and drive the data-driven decision making.
Design your data strategy in six steps | IBM
How to build and deliver an effective data strategy: part 1 - Microsoft UK Blog
Crafting Your Data Strategy - data.org
Designing Data Strategies - Development Gateway: An IREX Venture
When dealing with a complex product, what is best defined as a secondary persona?
A secondary persona is a type of persona that represents another user of the primary interface who can be accommodated as long as the targeted persona's experience is not compromised. A secondary persona is not the main focus of the product design, but still has some needs and expectations that should be considered. A secondary persona can help to identify additional features, functionalities, or scenarios that can enhance the product value and usability, without sacrificing the primary persona's satisfaction.
Design Thinking - Scaled Agile Framework
Personas - Scaled Agile Framework
When dealing with a complex product, a secondary persona could be best defined as what?
