Description

Make better product and go-to-market decisions in days instead of weeks. I help startups and innovation teams build AI-based synthetic customer models that simulate how different customer segments are likely to think, evaluate, and respond to new products, messaging, pricing, and strategic decisions. Together, we'll develop synthetic customer personas grounded in real customer evidence and behavioral research, then use them to rapidly explore product concepts, identify likely objections, prioritize features, test positioning, and generate new hypotheses before investing in expensive development or research. This approach doesn't replace customer interviews, but makes them more effective. By identifying the high-value questions and testing assumptions beforehand, teams can also focus their live research. The result is faster learning and lower research costs. This work is particularly valuable for funded startups, corporate innovation teams, and product organizations that need to move quickly while reducing the risk of building the wrong thing.