The product development process usually consists of a few important phases:
planning,
design,
development and
launch. To increase engagement and conversion rates, this process undergoes multiple iterations
which developers seldom navigate by looking at the data. Usually there’s somebody else, be it a product
owner, marketing or sales person, analyzing it and feeding developers a feature list needed for the
next product release.
There lies the gap between developers, marketers and users which leads to lots of guess-work. Consequently,
the product development feedback loop is broken.
MorphL uses machine learning to optimize user interactions by
analyzing product micro-metrics and enabling automatic user interface adaptation to provide
a
personalized user experience.
