True MVPs vs “what everyone calls an MVP”
Nacho Bassino
1919

Thanks for the article.

It is always necessary to measure the feature released to customer. Definitely A/B tests help in measuring the MVP.

A/B test starts with data analytics, goal setting, hypothesis, Make Changes, Run and Measure.

The result of A/B will give the direction for the feature. Normally the tests should have either have positive or no change which will ensure that the scope of tests will increase.

Whenever the trend is negative we debug the areas like functional, performance, interoperability etc.

Do we have any other alternative for A/B tests to check the behaviour of MVP. Please share…