This article traces the evolution of human-centered decision-making through three phases, arguing that understanding "humanness" remains crucial even in our AI-driven era. It begins with Decision-making 1.0 (traditional market research like focus groups), noting limitations such as short-term focus, isolated methods, and susceptibility to echo chambers that stifle innovation. Decision-making 2.0 introduced technology and AI to improve connections and streamline processes, but the author argues that algorithms cannot handle non-existent information, exceptions to rules, or unexpected anomalies. Decision-making 3.0 emphasizes that human ingenuity creates discontinuities and envisions possibilities beyond past data, making our "shared humanness" essential for better choices despite the complexity it introduces.