『Your Gut Is Lying — The Product Audit That Saved 30% Churn in 30 Days | Habit Machine Podcast』のカバーアート

Your Gut Is Lying — The Product Audit That Saved 30% Churn in 30 Days | Habit Machine Podcast

Your Gut Is Lying — The Product Audit That Saved 30% Churn in 30 Days | Habit Machine Podcast

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Episode 24: Your Gut Is Lying — The Product Audit That Saved 30% Churn in 30 Days | Habit Machine PodcastWhy Anecdotes Are Not Evidence, and the 4‑Layer Diagnostic Framework That Turns Data into Decisions Before You Bleed RunwayEpisode OverviewYou just inherited a live product. Users exist. But something feels off. Your gut says one thing; the engineers say another; angry customers say a third. This episode dismantles the collector's fallacy—gut feelings are not diagnosis, they are anecdotes wearing a confident coat. Two Product Managers introduce a systematic product audit that compresses months of learning into weeks, and they run it at three critical triggers: when you inherit a new product, when metrics start bleeding (retention drops, conversion stalls, churn rises), and before aggressive scaling. The conversation moves from strategy and unit economics (LTV/CAC, payback period, gross margin) to behavioral health (time-to-first-value, heatmaps, AI interaction logs), technical infrastructure (latency, vector index freshness, hallucination patterns), and audience/community signals (segment-specific LTV, support sentiment). The episode then builds a short/mid/long-term action pipeline—from patching performance leaks to strategic market bets—and closes with a real case study: a subscription product that cut first-month churn by 30% without changing pricing or features, simply by surfacing premium value through onboarding. An audit is not a report; it is a decision system. Define the goal, isolate the signal, and stop confusing activity with progress.What You Will LearnWhy gut feelings and angry customer anecdotes are not diagnosis—and how to replace them with a structured decision systemThe three triggers that demand an immediate product audit: inheriting a product, sudden metric bleeding, and pre‑scale readinessThe four layers of a real audit: strategy & unit economics, behavioral health & UX, technical & infrastructure, and audience & community signalsKey Takeaways"An audit is not a report. It is a decision system. Define the goal, isolate the signal. Aggregate metrics hide rot in specific segments—what looks green on average can be quietly dying in your highest‑value cohort. Diagnosis does not give you more opinions; it gives you clearer causality. The audit's leverage is not more data—it is a framework that turns data into decisions, not documents. If you score five or more on the readiness checklist, you produce decisions. Below three, you are just collecting data without a diagnostic framework."About the BookTitle: Habit Machine: AI Product ManagementSeries: AI and Human, Volume 1Author: Vladimir Dyachkov, PhDISBN: 978-83-8455-089-2Habit Machine is a practical playbook for Product Managers, founders, and builders who engineer products that change behavior, not just ship features.https://www.amazon.com/Habit-Machine-AI-Product-Management-ebook/dp/B0GYYP119XAbout the AuthorVladimir Dyachkov, PhD is a Product leader in AI with a PhD in Economics and two decades of experience building products people actually use.Connect with Vladimir DyachkovLinkedIn: linkedin.com/in/uxproductEmail: vladimiruso@gmail.comTelegram: t.me/vlrusoAI Care Products: ⁠⁠⁠aidevmd.com⁠⁠A2A Hub: ⁠itinai.comA2A Dubai Hub: ⁠⁠allahub.com⁠A2A A2H H2H Asia Hub: ⁠⁠⁠ha2ah.com⁠⁠A2A GitHub Repo: ⁠⁠⁠https://github.com/aihlp/itinai⁠
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