Which statement is true about designing a data strategy?
Correct Answer: C
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. Reference: 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
Question 7
What is an example of a measurement that can help drive Value Stream innovation and improvements?
Correct Answer: A
A measurement that can help drive Value Stream innovation and improvements is the percentage of Customers activating the product. This metric indicates how many Customers are actually using the product after acquiring it, and how well the product meets their needs and expectations. A high percentage of Customers activating the product means that the product delivers value and solves a problem for the Customers, and that the Value Stream is aligned with the Customer-centric mindset. A low percentage of Customers activating the product means that there is a gap between the product offering and the Customer demand, and that the Value Stream needs to innovate and improve the product design, delivery, and marketing. References: * Value Stream KPIs - Scaled Agile Framework * The Four Most Useful Value Stream Metrics in Software * What is an example of a measurement that can be used to help drive ...
Question 8
The Architectural Runway is a key part of which aspect of the Design Thinking model?
Correct Answer: D
The Architectural Runway is a key part of the Feasible aspect of the Design Thinking model. The Design Thinking model is a framework that guides the creation of innovative solutions that are desirable, viable, feasible, and sustainable. The Feasible aspect focuses on the technical and operational aspects of the solution, such as the architecture, infrastructure, integration, performance, and security. The Architectural Runway is a concept that describes the existing code, components, and technical infrastructure that enable the development and delivery of near-term features without excessive redesign and delay. The Architectural Runway supports the Feasible aspect by providing the necessary technical foundation and alignment for developing business initiatives and implementing new features and capabilities. References: * Architectural Runway - Scaled Agile Framework * Design Thinking - Scaled Agile Framework
Question 9
What research technique is used to develop personas?
Correct Answer: C
A journey map is a research technique that is used to develop personas. A journey map is a visual representation of the steps, interactions, and emotions of a user as they go through a process or a service. A journey map can help develop personas by identifying the pain points, opportunities, and gaps in the current state, and by generating ideas for improving the user experience and value proposition in the future state. A journey map can also help communicate the user needs and expectations to the stakeholders and align them on a common vision and goal. Reference: Journey Maps - Scaled Agile Framework Journey Mapping 101 | Nielsen Norman Group Journey Mapping: The Ultimate Guide | Miro Journey Mapping: How to Create One and Why It's Important
Question 10
What is an example of a measurement that can help drive Value Stream innovation and improvements?
Correct Answer: A
A measurement that can help drive Value Stream innovation and improvements is the percentage of Customers activating the product. This metric indicates how many Customers are actually using the product after acquiring it, and how well the product meets their needs and expectations. A high percentage of Customers activating the product means that the product delivers value and solves a problem for the Customers, and that the Value Stream is aligned with the Customer-centric mindset. A low percentage of Customers activating the product means that there is a gap between the product offering and the Customer demand, and that the Value Stream needs to innovate and improve the product design, delivery, and marketing. Reference: Value Stream KPIs - Scaled Agile Framework The Four Most Useful Value Stream Metrics in Software What is an example of a measurement that can be used to help drive ...
