The decentralized UX framework proposes to achieve the highest KPIs by leveraging machine learning and generative AI, ensuring personalized experiences for each user.
Current UX workflows suffer from inadequate communication and budget constraints, limiting design testing and leading to missed objectives and repetitive iteration cycles.
By integrating machine learning and generative AI into UX processes, the framework enables real-time analysis of user data, potentially transforming how designs are generated and tested.
The goal of this decentralized approach is to provide targeted design outputs that not only fulfill specific KPIs but also enhance overall user satisfaction through personalization.
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