Special topic in Data product design (2)-framework system of data product design methodology

First, preface

Data product design and business product design differences or relatively large, based on past experience, the introduction of 5w+1h analysis method, the formation of data product design thinking framework, to solve the data Product manager, face data product design, not the problem.

Second, the text

Third, interpretation

3.1 Who-target users

Who is the target user of the data product, the problem that needs attention here is that the diversity of users, that is, the same data product may have different users, need to analyze their needs for different users;

3.2 Why-User pain points

Data products to solve the core needs of users of the problem is the user pain point, the problem here is different users, different needs, different pain points;

3.3 What-building goals

The business goal of the data product realization, here refers to through the system construction, wants to achieve the commercial goal, and the user pain point echoes.

3.4 Where-data source

What are the data sources that data products need to ingest, and what are the access channels? What are database tables? What are the field properties? What is the relationship between data entities?

3.5 When-data frequency

How often does the dimension metrics refresh? How long is the delay in data ingestion?

3.6 How-Dimension indicators

What are the analysis objects for a data product? What are the hierarchical relationships between objects? What are the dimension metrics that each data object needs to calculate? What algorithms do you need to use?

Iv. non-completion of the adjournment

The data product framework continues to improve, please pay attention to ...

Special topic in Data product design (2)-framework system of data product design methodology