In this episode,  Katie sits down with Rhys Mohun, founder of Formentor Labs and creator of the Room to Think newsletter, to discuss why the traditional "expert" mindset is becoming a liability in the age of AI.

Rhys shares his philosophy of being the "wrongest in the room": a strategy that prioritizes psychological safety and evidence over ego. As AI begins to automate the administrative "boring stuff," Rhys argues that the true winners will be the leaders who lean into human-centric skills like facilitation and empathy.

ABOUT OUR GUEST:

Rhys Mohun is the owner of Formentor Labs, a niche consulting practice teaching growth teams how to think bolder, innovate faster and use feedback from experiments to amplify their strategy. The team with the most ideas wins.

Rhys has 16+ years experience building growth teams that practice science and empathy to learn from their customers. 

At Intuit, he developed Canada's experimentation program welcoming 14M visitors and $65M revenues into a world-class practice that became the model for global teams.

He's led growth from seed to Series A for two Toronto SaaS and fintech startups.

Finally, Rhys loves to teach. He offers his signature Evidence-Led Strategy workshop for SaaS and DTC clients, mentors young startup founders at Wilfrid Laurier University StartUp Lab, and facilitates the Digital Growth Marketing program at Toronto Metropolitan University.

Being the "wrongest" in the room | Rhys Mohun

Welcome to UNITE Voices, a new podcast by Kameleoon hosted by Katie Green. This isn’t your typical tech show filled with industry fluff; it’s a space for real stories from the people building today’s most ambitious experimentation programs. 

We’re sitting down with product managers, engineers, and designers to dive into their wins, their failures, and the cultural shifts required to scale a truly data-driven organization.

Come learn with us.

Episode 0 - Welcome to UNITE Voices

Unite Voices is a show where marketing and product leaders share the moments that changed testing at their company, and how they use AI (or not) in their experimentation work.