Increased Acquisition Rate for An AI SaaS Statup

An AI software company was facing a critical challenge: despite strong initial signup rates, most users abandoned the platform after their first day.

While the product team focused on adding features and running A/B tests, this was increasing complexity without addressing the core issue. The key was is understanding the client behavior and the "why" behind their decisions.

Solution
I led a company-wide analysis of the customer experience, bringing together product, engineering, marketing, and leadership teams. By mapping out every customer interaction without focusing on specific features, we revealed where users actually struggled. This clear picture helped us make precise improvements where they mattered most.

Achieved a 35% increase in user adoption and reduced costs by focusing development on features users actually needed.

I established a clear vision early on, improved collaboration between teams and eliminated wasted engineering time, leading to faster, more efficient product development.

Transformed product development by prioritizing real user needs over feature additions, ensuring our roadmap matched what customers value most.

Built a deeper understanding of customer behavior across all touchpoints, enabling the company to make decisions based on actual user experiences rather than assumptions.