CH3_Data Product

What is the primary purpose of a data value map?

• Identifying key customer pain points

• Tracking real-time data streams

• Securing sensitive customer information

• Automating data collection

What does the data product canvas help teams define?

• Business growth strategies

• Data storage needs

• Core components of a data product

• Software development timelines

Why is the customer profile important in designing a data product?

• It helps define market regulations

• It identifies customer needs and behaviors

• It maps industry competitors

• It optimizes storage capacity

What is a key characteristic of a successful data product?

• Requires extensive manual input

• Generates actionable insights

• Focuses only on internal company data

• Is independent of user feedback

What are the two main components of value creation for data product definition?

• Design and development

• Customer profile and value map

• Analysis and implementation

• Features and benefits

In the design thinking process for creating data products, what comes after the “understand/POV” phase?

• Ideation

• Implementation

• Prototyping

• Testing

What is the purpose of the “5xWhy” technique in design thinking?

• To generate multiple solutions

• To test prototypes

• To deeply understand root causes

• To evaluate implementation success

Which of the following is NOT one of the main components of a data product canvas?

• Problem definition

• Data mapping

• Financial projections

• Risk assessment

What is the main purpose of prototyping in data product development?

• To finalize the product design

• To test and validate ideas quickly

• To document requirements

• To train users

Which element is essential for successful implementation of a data product?

• Business model

• Marketing plan

• Technical documentation

• User manual