Scaled Agile Updated SAFe-APM Exam Questions and Answers by dina

Design Thinking and the Continuous Delivery Pipeline (CDP) are both approaches that aim to deliver value to customers by understanding their needs, validating assumptions, and iterating on solutions. Design Thinking is a creative process that involves empathizing with customers, defining the problem, ideating possible solutions, prototyping, and testing. The CDP is a workflow that consists of four aspects: Continuous Exploration, Continuous Integration, Continuous Deployment, and Release on Demand. The CDP enables the delivery of small batches of new functionality, which are then released to fulfill market demand. Both Design Thinking and the CDP use feedback from customers to improve products, as feedback loops are essential for learning and adapting to changing needs and preferences.

References:

Design Thinking - Scaled Agile Framework

Continuous Delivery Pipeline - Scaled Agile Framework

Introduction to Continuous Delivery in SAFe | CDP in … - PremierAgile

Journey maps are a design thinking tool that help visualize the steps, interactions, and emotions of a user as they go through a process or a service. Journey maps can help redesign work processes 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. Journey maps can also help communicate the user needs and expectations to the stakeholders and align them on a common vision and goal.

References:

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

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.

References:

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

Primary data is information collected through original research by the marketer or researcher themselves. Primary data is used to test hypotheses, which are tentative statements or assumptions about the relationship between variables or the outcome of an experiment. Testing hypotheses helps to validate or invalidate the assumptions and predictions made by the marketer or researcher, and to measure the effectiveness and impact of their product or service.

References:

Primary Data - Types, Methods and Examples: This article from Research Method defines primary data, explains its types and methods, and provides some examples of primary data collection and analysis.

[Hypothesis Testing]: This article from the Scaled Agile Framework describes the concept and process of hypothesis testing, and how it helps to evaluate the value proposition and assumptions of a product or service using experiments and feedback.