In this episode of the GMS Podcast, Julia and André sit down with John Ekman to unpack what it really takes to build an experimentation engine that drives growth, beyond tools, tactics, and vanity metrics.
Expect straight talk, hard-won lessons, and practical frameworks you can apply this week.
What you’ll learn & key highlights:
Why most “experimentation programs” stall and how to fix the cultural blockers
Evidence over opinions: turning stakeholder debates into data-driven decisions
Metrics that matter: choosing impact KPIs (and ditching misleading ones)
From wins to systems: scaling beyond single tests to compounding learning loops
Speed vs. rigor: how to balance statistical confidence with product velocity
How to get buy-in when resources are tight (and when to say “not yet”)
Real examples: experiments that surprised even seasoned optimizers
Connect with John Ekman on LinkedIn to keep the conversation going.
If this episode helped you, please like, follow, and share as it really fuels the show and helps more optimizers find it.
Don’t miss out:
Secure one of the last Early Bird Tickets for GMS 2026 (June 16th) now at: www.growthmindedsuperheroes.com