UX Stories Podcast

She Built an AI That Predicts What You Need BEFORE You Ask


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What if your phone knew what you needed before you did? 🤯
In this episode of UX Stories, host Lihong Hicken sits down with Alina Hernandez Porrello, Director of UX Engineering at AgileEngine — the mind behind the groundbreaking Contextual Eruptive Forecasting Model (CIFM), built on Robert Rosen's anticipatory systems theory.
Alina's framework doesn't just react to users — it anticipates them. No stereotypes, no generalizations. Just AI that adapts to you, uniquely.
šŸ”„ What you'll learn:
What the CIFM model is and how it predicts user behavior
Why standard UX personas are broken — and what comes next
How adaptive interfaces could replace traditional usability testing
The future of accessibility, elderly UX, and personalized AI
Could you lease your AI persona and get paid for user testing? šŸ¤‘
Why AI won't kill UX jobs — it'll multiply them
ā±ļø Timestamps:
0:00 – Introduction & Who is Alina?
2:45 – The problem with user personas & AI generalization
6:30 – Robert Rosen's anticipatory systems theory
10:15 – How the CIFM model actually works (doctor example)
16:00 – Personalized AI vs. generalized AI
20:30 – Could you lease your AI persona for usability testing?
24:00 – Will AI kill UX jobs? The garden analogy
26:30 – Rapid fire: favorite tools, feedback challenges
27:45 – What's most fulfilling about Alina's work
šŸ“£ If you're a UX designer, product manager, or AI enthusiast — this one is a must-watch.
šŸ‘ Like, subscribe, and hit the bell so you don't miss the next episode of UX Stories.
āš ļø Note: The CIFM paper is forthcoming — watch for it from Alina, Enrique Soto Astorga (UNAM), and Yuri Sa (AgileEngine).
#UX #UserExperience #AIDesign #UXResearch #ProductDesign #AdaptiveUI #ArtificialIntelligence #UXStories #AgileEngine #FutureOfWork
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UX Stories PodcastBy Lihong Hicken