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Embracing the Data-Driven QA Approach

Before we delve deeper in the how’s and why’s let us understand what Data-Driven Analytics reports are?

These reports help identify: 

Why should a QA participate?

This will help in planning the testing activities where QAs will have a clear understanding of: 

Challenges

1. Will be useful only when the 1st version is released in the market. Analytical data will be generated only when the web application is live. 

2. Setting up analytics tool for project and it's licensing. 

Example

Setting up Google Analytics for a project and analyzing the reports generated and then based on it updating the test activities.  

Therefore, it is very important to understand 'What' and 'How' your users are doing on your website.

Happy Testing!

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