Kim Scribner and Gary Lancina look back on the first quarter of The Fault Line, reflecting on standout conversations, including AI’s growing role in go-to-market, what it takes to drive business growth, and why trust, choice, and leadership behavior shape execution. From practical strategies to the human side of change, this episode connects the threads from Q1 and sets the stage for what’s next.

What if your data could actually teach your organization something? In this episode of The Fault Line, Kim Scribner sits down with Melissa Reeve to explore how AI is reshaping experimentation from simple A and B tests to continuous testing at scale. They discuss how to build lightweight learning loops, avoid common shortcuts, and use AI as a thought partner to generate hypotheses, analyze results, and uncover root causes. The conversation focuses on moving beyond efficiency to drive real effectiveness, helping teams learn faster, think deeper, and build more adaptive ways of working.

In this episode of The Fault Line, Kim Scribner sits down with data strategist Dr. Alaina Szlachta to unpack one of the most common challenges organizations face: turning data into insights that actually drive action. From defining the right decision before collecting data to building trust in how results are measured and interpreted, they explore why many teams struggle to act on the information they already have. The conversation covers everything from sample size and data integrity to the risks of using data to justify agendas, and why curiosity, transparency, and validation are essential to making better business decisions.