Developing an Integrated Data and User Feedback Tool Using AI Product Architecture Software | HackerNoon
Briefly

The biggest issue with digital products in companies with legacy systems is the overwhelming length of workflows, creating challenges in collecting and analyzing user data.
Scattered user data across multiple channels creates arduous tasks for teams to synchronize datasets, leading to distorted analyses that reinforce the biases of single points of failure.
When one person controls all data and information, it leads to a skewed understanding of user needs, which ultimately hampers effective product development.
Rants can morph into insightful articles that illuminate how outdated workflows hinder effective user-centered decision-making in product development, particularly in legacy systems.
Read at Hackernoon
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