Why?

For the past five years, I’ve been deeply immersed in customer success, wearing multiple hats along the way. I ran my own onboarding processes, handled support tickets, and managed customer success initiatives, working directly with clients to ensure they thrived. In each role, I saw how critical it was to understand how clients were feeling—but I also saw how challenging that could be to achieve consistently.

The biggest hurdle was articulating those feelings in a way that felt clear and credible to others. Whether I was explaining a client’s frustration to my team or presenting insights to stakeholders, I found myself constantly having to back up my observations with endless data points and examples. It was exhausting, and often, the nuances of a client’s sentiment got lost in translation, leaving us reactive rather than proactive in addressing their needs—and ultimately risking churn.

That frustration inspired me to create Stanna. I wanted a tool that could do the heavy lifting for me: deeply analyze customer behavior, sentiment, and context using AI, then translate those insights into clear churn predictions and actionable recommendations. With Stanna, businesses no longer have to guess how their clients feel or spend hours justifying their instincts—they can see it all in one place and act confidently to strengthen relationships and reduce churn. My goal is to empower teams with the clarity I always wished I had, so they can focus on what matters most: keeping their customers happy and loyal.