Muchas veces nos ha servido bajarlos a tierra con ejemplos concretos. Los stakeholders no tienen que tener necesariamente el conocimiento técnico, pero sí necesitan estar al tanto de la información relevante para sus proyectos. Normalmente, con el entendimiento del funcionamiento base y de los efectos a nivel de negocio ya es suficiente para lograr una comunicación efectiva, no es necesario poner el foco en el detalle de lo técnico.

Explaining AI to non-tech people might seem hard, but it's really about making it relatable. I like using analogies—AI is like a personal assistant that learns over time or a chef adjusting recipes based on customer preferences. The key is focusing on impact, showing how AI improves user experience without drowning in technical terms. Visuals help too—simple diagrams make abstract ideas clearer. And avoiding jargon is crucial. Instead of "supervised learning," just say AI learns from past examples. In my work with design and video, simplifying concepts is part of my routine. When you connect AI to real-life examples, it all makes sense.

?? Focus on Business Impact Explain how AI solves their specific problems (e.g., “AI predicts customer churn, helping retain clients”). Use real-world analogies (e.g., “AI is like a personal assistant that automates repetitive tasks”). ?? Use Visuals & Stories Replace jargon with diagrams, infographics, or demos. Share case studies to illustrate success without technical depth. ?? Keep It Conversational Avoid complex terminology—use relatable language instead. Encourage questions and interactive discussions.

Explaining Information Architecture (IA) to non-tech stakeholders can be easy if you focus on real-world examples and clear communication: 1. Use Everyday Analogies – Compare IA to organizing a supermarket, a library, or city planning. Everything has a place, making it easy to find what you need. 2. Show, Don’t Just Tell – Use diagrams, flowcharts, or even simple sketches to visualize how IA works instead of relying on words alone. 3. Focus on Benefits, Not Jargon – Instead of technical terms, highlight how good IA improves user experience—making navigation smooth, reducing confusion, and helping users find what they need quickly. By keeping it simple and relatable, you’ll get buy-in faster!