{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Grown Up Product: How Post-PMF Companies Build Durable Product Organizations","title":"Chris Kincanon on Process, Standards & AI in Product Development (Part 1)","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/98c8c477\"></iframe>","width":"100%","height":180,"duration":1750,"description":"Episode SummaryIn this episode of Grown Up Product, host Brian welcomes Chris Kincanon, fractional CTO and co-founder of Ready Steady. With a career spanning from Accenture to startups to major corporations like Kohl's and Unity, Chris shares battle-tested insights on building scalable engineering organizations without burning out teams.\nKey Topics Discussed:\nThe Evolution to Fractional LeadershipCareer progression from consulting to startups to enterprise and back to fractionalWhy fractional CTOs fill critical gaps early-stage companies needThe unique position of covering both product and engineering sidesProcess as Clarity, Not ControlWhy process is about \"how we do business\" not micromanagementThe importance of guardrails and checkpoints vs rigid proceduresHow standards create culture and prevent talent lossThe jazz metaphor: structure facilitates improvisation, doesn't inhibit itThe Product-Engineering ConnectionGetting product and engineering in sync as \"the secret sauce\"Building bridges between departments (marketing, sales, legal)Why writing code is expensive - iteration should happen on mockups firstThe critical role of product organizations in alignmentQuality vs. Velocity in 2025Why \"move fast and break things\" shouldn't be your normal operating modeThe hidden costs: reputation damage, negative reviews, frustrated usersHow chaos at the team level filters up to leadershipThe iron triangle: quality, cost, and speed tradeoffsAI and \"Vibe Coding\" Reality CheckAI moves toward average, not excellenceWhy AI tools are multipliers in expert hands, not replacementsThe prototype ceiling: where AI coding hits its limitsTraining teams on AI tools like any other software rolloutThe danger of AI in decision-making vs. productivity enhancementBuilding Standards in the AI EraWhat \"good\" looks like to experts vs. non-expertsUsing AI as the world's best rubber duckWhy simple products built with AI face immediate competitionThe importance of maintaining human judgment in...","thumbnail_url":"https://img.transistorcdn.com/D7sn1m4WWwCtjk8ZTDOcoE8Vd0WqsrRJgZ81fJ_y9-s/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lZDll/ODRmYjIyMTUxZWMz/ZjE3ZWIyMjZkMTU0/MjMyNy5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}