"Personalization is a form of storytelling. This means that any product solution that is crafted, and that weaves itself around user journeys, has to contemplate how a user adopts it, leverages it, and makes that solution part of a vernacular that is very much his/her own. This also means, that personalization has to go beyond the aspect of having a string of text on a dashboard that welcomes a certain user to part of the UI."
"This also means that if you bring a user to a certain ecosystem, and ask for that same user to provide a considerable amount of information about himself/herself, there has to be something about that experience that goes beyond sending polished newsletters on certain topics for those users. The tradeoff between what you ask from the user, and what the user gets from utilization has to be substantial."
AI enables large-scale user understanding, new interfaces, optimization, opportunity identification, and feature prediction and personalization. Personalization functions as storytelling that shapes product solutions around user journeys, adoption, and habitual use. Personalization must exceed superficial elements like dashboard greetings and must justify requests for user data with substantial, utilitarian value. Product interactions should latch onto specific user traits or behavioral typifications. Collecting user information solely to increase sales is no longer sufficient. Users expect meaningful, personalized outcomes in exchange for shared information, and products must balance data collection with clear, tangible benefits.
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