"Because of my passion for AI tools, I often find myself in conversations with designers, leaders, and ones who are just starting their journey in UX and product design. Almost everyone asks the same question: "How should we integrate AI into the design process?" It's a fair question, but maybe not the right first one. Instead of asking how, perhaps we should start with where and why. Where do we actually need AI? And why are we introducing it in the first place?"
"Across the various UX product teams I've worked with, I've seen how dramatically their pain points can differ, even within the same organization. In general, two factors determine where AI is most useful: Which parts of the workflow are time-consuming or ripe for automation. Where you can trust AI's output, and have the expertise and time to review it when needed."
Teams should determine where and why AI adds value before focusing on how to integrate it. Two main factors guide AI usefulness: stages that are time-consuming or suitable for automation, and areas where AI output can be trusted and reviewed by available expertise. Pain points vary widely across teams, including handoff issues, lengthy discovery and stakeholder alignment, and inconsistent design systems affecting craft. Clear definition of the improvement goal and its rationale is essential. Common scenarios include frequent requirement changes that force rework and suffer from poor documentation, creating opportunities for targeted AI support.
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