Score Higher on Verified SAFe-APM | SAFe Agile Product Manager (APM 6.0) Exam Questions with Answers

The expected product is the aspect of whole-product thinking that captures a Customer’s price sensitivity. Whole-product thinking is a framework that helps to define and deliver a complete solution that meets the Customer’s needs and expectations. Whole-product thinking consists of four levels: generic product, expected product, augmented product, and potential product. The expected product is the level that includes the basic features and benefits that the Customer expects from the product, and that determines the Customer’s willingness to pay for the product. The expected product reflects the Customer’s price sensitivity, which is the degree to which the Customer’s behavior is influenced by the price of the product.

References:

Customer Centricity - Scaled Agile Framework

Analysis of the Effects of Perceived Value, Price Sensitivity, Word-of …

Pricing Sensitivity: Meaning, Calculation & Strategy | Qualtrics

Which aspect of whole-product thinking captures a Customer’s price …

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

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.