The Product Experience (Mind the Product)
YouTubeRecent Episodes
The Jevons paradox: why AI creates more demand - Martin Eriksson at ProductTank SF
Jul 20, 2026Martin Eriksson, founder of ProductTank and advisor to 150+ companies, explores the Jevons paradox and AI's true impact on demand and product strategy. Rather than replacing workers, AI makes services cheaper and faster, unlocking new demand—as seen in radiology where 1,400+ FDA-cleared AI devices coexist with a 16% increase in radiologists and 44% salary growth. Eriksson argues companies must rethink strategy at the business model and customer problem level, not just bolt AI features onto existing products, and emphasizes that speed without direction is useless; strategy provides the velocity and alignment needed to capitalize on AI's possibilities.
From Agile to SIGNAL: launching AI products without the chaos: Elena Luneva at ProductTank SF
Jul 20, 2026Elena Luneva, a fractional Chief Product Officer with 20+ years of product experience, introduces SIGNAL, a new framework for launching AI products that extends agile methodologies to non-deterministic systems. She discusses how traditional agile practices break down with AI—particularly sprint demos, definition of done, and feature ship criteria—and presents six core principles (Specify behavior, Instrument before you ship, Guard with evals, Name the triggers, Assess distribution, Living evaluation) to manage the complexity of AI product launches while addressing critical gaps in observability, evaluation, and risk mitigation.
Your users don't behave the way they describe themselves: Tom Charman at ProductTank SF
Jul 20, 2026Tom Charman, co-founder of Block, discusses the emerging practice of behavioral simulation in product development as a solution to accelerating feedback loops. He argues that traditional product development cycles (14-16 weeks) are too slow and that teams are increasingly shipping blind without proper validation. Charman introduces the concept of synthetic personas and behavioral simulation as a way to compress development timelines, validate product decisions before shipping, and ultimately move toward adaptive products.
AI agents have gone mainstream
Jul 17, 2026How the NHS innovates — Ben Cook (Deputy Director of Product, NHS)
Jul 15, 2026Why you should prioritise trust over short-term profit – Simonetta Batteiger
Jul 15, 2026Advanced Positioning in the Age of AI: April Dunford at #mtpcon London 2026
Jul 14, 2026Product is Hard. It should still be fun: Charity Ibhadon (WPP)
Jul 13, 2026Microsoft's $2.5bn bet
Jul 10, 2026How to Prepare Myself to Become a Product Leader | Petra Wille | ProductTank Cologne
Jul 10, 2026
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