In this episode of The Fault Line, CMG sits down with David Bland to unpack what it really takes to move faster in uncertain environments.

The conversation explores why organizations slow themselves down, how the pursuit of the “right answer” creates bottlenecks, and what separates teams that act from those stuck in analysis paralysis. From simplifying risk to testing assumptions earlier, the discussion reframes decision-making as a skill that can be designed, not delayed.

Subscription models promise predictable revenue, but they only work when they deliver real, ongoing value. This episode explores what separates sustainable subscriptions from short-term wins, from reducing friction and building trust to designing experiences people actually want to keep. It is not about locking customers in. It is about earning their commitment over time.

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.

How do you turn conversations into real business insight?

In this episode of The Fault Line, Kim Scribner sits down with Julie Bush of Product Rehab to explore the art and discipline of in-depth interviews (IDIs). Julie shares how to design interviews around a clear learning agenda, move past surface-level opinions, and uncover the motivations that actually drive decisions.

They also discuss the role of curiosity, the importance of authentic moderation, and how the best insights often emerge from unexpected “aha moments” during the research process. For leaders looking to better understand customers, employees, or markets, this episode offers practical guidance on turning qualitative conversations into actionable insights.

Data is everywhere. Insight is not.

In this episode of The Fault Line, Gary Lancina and Kim Scribner are joined by Dr. Marvin Rothwell to explore what “clean” data actually means and why it matters more than most organizations realize.

From healthcare and supply chain to finance and operations, Marvin shares how misaligned definitions, inconsistent processes, and siloed systems create costly friction. Clean data, he argues, starts long before reporting, with clarity on what you’re measuring, why it matters, and how it’s captured.

The conversation covers:

• Why clean data is an agreement between business and technical teams
• The hidden cost of “we’ve always done it this way”
• How involving data teams earlier prevents downstream rework
• What AI changes (and doesn’t) about data hygiene
• Why data refinement is like refining crude oil

If you want better insights, better decisions, and fewer expensive surprises, the work begins with data cleanliness.

What happens when organizations jump straight to the what without clarifying the why? In Episode 13 of The Fault Line, Gary Lancina and Kim Scribner sit down with Danielle Law, Director of Integrated Brand Strategy and Marketing at a leading academic health center in the Pacific Northwest, to unpack how strategy actually turns into action.

Together, they explore why outcomes matter more than outputs, how to write problem statements without embedding the solution, and why promoting a poor user experience can do real harm to a brand. From ruthless prioritization and stakeholder politics to using data as a bridge instead of a weapon, this conversation gets practical about aligning time, energy, and money to the work that truly moves the needle.

If you have ever been handed a solution instead of a problem, or struggled to translate priorities into meaningful impact, this episode will help you refocus on what really matters: why, for who, and when.