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How AI Is Built

#47 Jorge Arango on Architecting Information for Search, Humans, and Artificial Intelligence | Search

Mar 27, 2025
Jorge Arango, an expert in information architecture, shares insights on aligning systems with user mental models. He emphasizes that effective designs bridge user understanding and system data, creating learnable interfaces. Jorge discusses how contextual organization simplifies decision-making, tackling the paradox of choice. He also highlights the importance of progressive disclosure to accommodate users of varying expertise, and examines the transformative impact of large language models on search experiences.
57:22

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Podcast summary created with Snipd AI

Quick takeaways

  • Bridging user mental models with system design is crucial for effective information architecture, ensuring better user experiences and outcomes.
  • Progressive disclosure and understanding user expertise levels are essential for creating accessible and functional interfaces that cater to diverse audiences.

Deep dives

Bridging the User-Backend Gap

Many developers focus primarily on backend systems, which can lead to a disconnect from user experiences. Users often have their own mental models that may clash with the developer's logic, resulting in ineffective outcomes. This gap emphasizes the importance of bridging user expectations with backend functionality to improve system design. Enhancing user engagement involves creating systems that mirror users' ways of thinking, rather than solely adhering to technical specifications.

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