We highlighted Microsoft Clarity as a product built with practical, real-world use cases in mind by real product people who understand the challenges companies like Switas face. Features such as rage clicks and JavaScript error tracking proved invaluable in identifying user frustrations and technical issues, enabling targeted improvements that directly impacted user experience and conversion rates.
Identifying Necessary Transparency Moments In Agentic AI (Part 1)
Designing for agentic AI requires attention to both the system’s behavior and the transparency of its actions. Between the black box and the data dump lies a more thoughtful approach. Victor Yocco...
Designing agentic AI requires finding a balance between a "black box" approach and overwhelming users with data dumps. This article introduces the "De...
