Foresight is more than predicting what’s next. It’s identifying early signals and linking them to the human behaviors driving change. By studying how people adapt, create, andrespond to their environments, organizations can design strategies and solutions that fulfill future needs while staying grounded in reality.

This approach relies on both traditional and unconventional methods, such as interviews with experts and chan, observations from industry events, and secondary research, paired with digital ethnography that surfaces new conversations and cultural shifts. The goal isn’t just to identify trends, but also to understand the motivations behind them and what they reveal about evolving needs.

A key learning from this work is that foresight succeeds when organizations are willing to challenge their assumptions. When data and cultural context point in a new direction,the ability to pivot toward what people are already doing or valuing can uncover growth opportunities. Being flexible and responsive ensures that innovation remains human-centered rather than hypothesis-driven.

Equally important is a multifaceted research approach. Diverse qualitative insights capture nuance, while quantitative data scales understanding. Returning to qualitative validation closes the loop, ensuring that what emerges reflects both the “what” and the “why.” This cycle helps teams distinguish between patterns that arelocal and those that can be applied globally. Artificial intelligence now plays a growing role in this process, accelerating the discovery of patterns across vast data sources.

On this episode of The New Mainstream podcast, Jay Hasbrouck, Senior Staff Researcher at Google and author of Ethnographic Thinking: From Method to Mindset, explores how foresight, research, and AI can transform the way organizations approach innovation.