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Summary
UX and content designers often find themselves with incomplete research, limited budgets, and the pressing need to validate concepts quickly. How can you effectively create personas and journey maps under these constraints? Enter the power of AI. In this session, Noz Urbina will unveil a unique and proven methodology that leverages AI to craft personas and journey maps from incomplete data. Or if you’re blessed with good research, it provides a way to synthesize it to create more and richer personas, maps, and therefore, designs, than you’d ever have time for otherwise. This approach both helps designers do more with less using AI, and provides a foundation to validate assumptions, rally stakeholders quickly. Therefore putting them in a better place to secure the budget you need for comprehensive human-led research. What you’ll learn: See the transformative power of AI in the realm of UX and content design, making the abstract tangible for designers and stakeholders alike. Discover a unique methodology that uses AI to create fleshed-out personas and journey maps from whatever your starting point or budget. Learn how to accelerate the creation of initial or draft maps that validate assumptions and engage stakeholders.
Key Insights
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AI can enhance, but not replace, human designers in the creative process.
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Mapping user journeys should focus on questions and emotions over time, not just linear steps.
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The R.O.C.K.S. framework enables rapid AI-powered UX design for non-technical users.
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Personas should be dynamic, evolving with data and context rather than static documents.
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Integrating AI into the entire design and production lifecycle boosts efficiency and creativity.
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Empathy in design begins with first-person narratives instead of third-person descriptions.
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The collaboration of teams around AI-generated maps sparks insightful discussions and innovations.
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Data verification is essential to avoid reliance on AI hallucinations.
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Building clear workflows and defining tasks for AI bots enhances productivity.
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Continuous feedback and testing improve the reliability and quality of AI outputs.
Notable Quotes
"This session will teach you how to organize things to get productive with AI."
"When I say journey maps, I do not mean this for me is a big no; I hate these things."
"How can we put a chatbot in the product instead of only at the end of the process?"
"What do you want your AI to do? What do you want their background to be?"
"We help organizations build relationships with their audiences just like people do."
"AI should support real human research, not replace it entirely."
"Having a starting point gets people's juices flowing and collaboration going in ways I couldn't have imagined."
"You are not just trusting an LLM; they are not databases, they mess up in ways databases never would."
"How do you bring together all the available data in an effective way?"
"Designing with AI is about speeding up processes, not replacing creativity."
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