The language and concepts of machine learning are far from intuitive.
And user experience design requires an understanding of how people think and behave, simultaneously taking into account the irrationality of human behavior and the messiness of everyday life.
Because of the different skills these two disciplines require, it’s normal to see user experience designers and machine learning experts work in their own separate silos even though they’re building the same product.
To break these professional silos, the product team needs to make a steadfast and conscious effort, but how to get started?
Here are four pivotal principles for finding an efficient and fruitful way to combine the best product design methods with the pragmatic applications of machine learning:
The product vision, essential user experience issues, and business goals need to be shared and understood by the whole team.