Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

No, this podcast does not typically feature guests.

Habit Machine: AI Product Management

Claim This Podcast

by Vladimir Dyachkov PhD

15 episodes

Updated Daily

Accepts GuestsHas Sponsors

Podcast Overview

AI changes everything. But human nature stays the same. Learn to build products that respect attention, reduce friction, and earn repetition. AI has turned product management upside down. Static interfaces are dying. Users now expect products that anticipate, adapt, and execute without asking. The old playbook — roadmaps, backlogs, stakeholder alignment — still exists. It's just no longer enough to win. This book is for product leaders who feel the shift. The author spent 20 years building at scale — AI products, apps for 180 million users. And he holds a PhD in behavioral economics.

Language

🇺🇲

Publishing Since

4/21/2026

Visit Website View on Apple Podcasts RSS Feed

2 verified contact emails on file for Habit Machine: AI Product Management

Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.

See contact details

Recent Episodes

June 16, 2026

The Information Signal: How a Product Rewires Behavior

<!DOCTYPE html><html lang="en"><head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Episode 16: The Signal That Rewires Habits | Habit Machine Podcast</title></head><body> Episode 16: The Signal That Rewires Habits | Habit Machine Podcast Why a Launch Is a Behavioral Proposition, Not a Marketing Campaign <hr> Episode Overview Most products don't fail because engineering was slow—they fail because the signal never lands. In this episode, two Product Managers redefine the relationship between product and market. A launch is not a press release or a burst of ads. It is an information signal that must rewire a routine by promising less work, fewer decisions, and instant cognitive relief. We map the three paths a product can take—capturing the default, fading into noise, or mutating into an unexpected institution—and break down the three psychological thresholds a signal must pass to even begin the journey. The episode closes by distinguishing a slogan that sells a feature from a signal that sells a new behavioral contract, and teases the next critical layer: Need-Signal Alignment. <hr> What You Will Learn <ul> <li>Why a launch is a behavioral proposition that promises a less frustrating way to do the job</li> <li>The three market paths: capturing the default, fading into noise, and mutating into an unexpected institution</li> <li>The three psychological thresholds for a strong signal—cognitive fluency, friction reduction, and contextual timing</li> <li>Why a signal must be graspable in under three seconds and promise relief, not just power</li> <li>How to write a behavioral contract that focuses on what users stop doing, not what they start doing</li> <li>The difference between sounding innovative and sounding inevitable, and why that distinction determines adoption</li> </ul> <hr> Key Takeaways <blockquote> "A slogan sells a feature. A signal sells a new routine. When your positioning focuses on what users stop doing instead of what they start doing, adoption accelerates. The goal is not to sound innovative—it is to sound inevitable." </blockquote> Coming Next Episode: Need-Signal Alignment—why curiosity must become habit, and how to map your value proposition to actual human motivation. <hr> About the Book Title: Habit Machine: AI Product Management Series: AI and Human, Volume 1 Author: Vladimir Dyachkov, PhD ISBN: 978-83-8455-089-2 Habit Machine is a practical playbook for Product Managers, founders, and builders who engineer products that change behavior, not just ship features. <hr> About the Author Vladimir 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 Dyachkov <ul> <li>LinkedIn: <a href="https://www.linkedin.com/in/uxproduct" rel="ugc noopener noreferrer">linkedin.com/in/uxproduct</a></li> <li>Email: <a href="mailto:vladimiruso@gmail.com">vladimiruso@gmail.com</a></li> <li>Telegram: <a href="https://t.me/vlruso" rel="ugc noopener noreferrer">t.me/vlruso</a></li> </ul> <hr> Ready to Engineer Habits, Not Just Features? Grab your copy of Habit Machine: AI Product Management and learn to send signals that become defaults, not noise. ISBN: 978-83-8455-089-2 Part of the AI and Human series. <hr> Subscribe to the Habit Machine Podcast for more on Behavioral Design, market signals, and the systems that turn curiosity into habit.</body></html>

June 9, 2026

Behavioral Intelligence: The Art of Customer Research

<!DOCTYPE html><html lang="en"><head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Episode 15: The Research That Ships | Habit Machine Podcast</title></head><body> Episode 15: The Research That Ships | Habit Machine Podcast Why Users Can’t Tell You What to Build, and How Jobs to Be Done, Behavioral Personas, and Hybrid Journey Maps Reveal What They Actually Need <hr> Episode Overview Asking users what they want is the fastest route to building features nobody needs. This episode dismantles the polite fiction of feature-request research and replaces it with a rigorous, behavioral discipline. Two Product Managers walk through Jobs to Be Done that account for AI-era autonomy, personas grounded in cognitive load rather than demographics, journey maps that track emotional peaks and AI trust thresholds, and pain-and-gain analysis that connects retrieval quality directly to user anxiety. The output is not a research report—it is a testable hypothesis and a vibe-coded prototype within days. <hr> What You Will Learn <ul> <li>How to ask “walk me through the last time” instead of “would you use this” to surface real workarounds and hidden motivation</li> <li>Writing one-sentence job statements that capture context, motivation, and outcome—and detecting whether the user is actually hiring an autonomous agent instead</li> <li>Building real personas from observed friction, decision triggers, and psychographic markers rather than fictional demographics</li> <li>Mapping the hybrid customer journey: emotional peaks, the Peak-End Rule, and where an AI-to-human handoff is mandatory to prevent churn</li> <li>Pain and Gain Analysis: categorizing friction that can be eliminated via retrieval-grounded outputs, and why stale AI results increase anxiety instead of providing relief</li> <li>Compressing research into action: using AI clustering and behavioral telemetry to validate the gap between what users say and do, translating findings directly into a concierge test or vibe-coded prototype</li> </ul> <hr> Key Takeaways <blockquote> "Research is not a phase you complete before development. It is a continuous loop that informs every sprint. If your research hasn’t produced a clear behavioral hypothesis and a testable prototype, you haven’t finished the job. You’ve just gathered opinions. And the market pays for outcomes, not opinions." </blockquote> <hr> About the Book Title: Habit Machine: AI Product Management Series: AI and Human, Volume 1 Author: Vladimir Dyachkov, PhD ISBN: 978-83-8455-089-2 Habit Machine is a practical playbook for Product Managers, founders, and builders who engineer products that change behavior, not just ship features. <hr> About the Author Vladimir 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 Dyachkov <ul> <li>LinkedIn: <a href="https://www.linkedin.com/in/uxproduct" rel="ugc noopener noreferrer">linkedin.com/in/uxproduct</a></li> <li>Email: <a href="mailto:vladimiruso@gmail.com">vladimiruso@gmail.com</a></li> <li>Telegram: <a href="https://t.me/vlruso" rel="ugc noopener noreferrer">t.me/vlruso</a></li> </ul> <hr> Ready to Engineer Habits, Not Just Features? Grab your copy of Habit Machine: AI Product Management and turn user research into a prototype, not a report. ISBN: 978-83-8455-089-2 Part of the AI and Human series. <hr> Subscribe to the Habit Machine Podcast for more on Behavioral Design, Jobs to Be Done, and the research that actually ships.</body></html>

June 2, 2026

Why Artificial Intelligence Is the Infrastructure Every Modern PM Must Conduct

Episode 14: AI-Native Product Infrastructure | Habit Machine PodcastWhy Artificial Intelligence Is Not a Feature Toggle—It Is the Infrastructure Every Modern PM Must ConductEpisode OverviewTreating AI as a chatbot you bolt on is career suicide. It is infrastructure, not a gadget—like electricity, not a toaster. This episode maps the four capabilities that separate the AI-native product leader from the obsolete backlog administrator. Two Product Managers walk through conversational UX design, retrieval-augmented generation architecture, vibe coding as a validation weapon, and agent orchestration as the new choreography skill. The episode closes with a unified diagnostic: eight questions that reveal whether you are conducting infrastructure or just surviving a backlog.What You Will Learn<ul><li>Designing for conversational interfaces: prompt flows, fallback logic, confidence thresholds, and mapping reliability instead of happy paths</li><li>Understanding RAG architecture without being an engineer—data freshness requirements, confidence indicators, and graceful degradation when retrieval fails</li><li>Vibe coding as a validation accelerator: compressing idea-to-test cycles from weeks to hours without shipping production code</li><li>Agent orchestration: defining handoff rules between specialized agents, gating critical outputs with human review, and measuring system performance over feature completion</li><li>The unified diagnostic: eight questions that force an honest reckoning of whether you are engineering equilibrium or just administrating tickets</li></ul>Diagnostic rule: Score below four out of eight, step back. Clarify your stakeholder map. Get evidence on the table. Rebuild your decision architecture from scratch.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.About 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 Dyachkov<ul><li>LinkedIn: <a href="https://www.linkedin.com/in/uxproduct" rel="ugc noopener noreferrer">linkedin.com/in/uxproduct</a></li><li>Email: <a href="mailto:vladimiruso@gmail.com">vladimiruso@gmail.com</a></li><li>Telegram: <a href="https://t.me/vlruso" rel="ugc noopener noreferrer">t.me/vlruso</a></li></ul>Ready to Engineer Habits, Not Just Features?Grab your copy of Habit Machine: AI Product Management and learn to conduct the infrastructure, not just toggle the feature.ISBN: 978-83-8455-089-2Part of the AI and Human series.Subscribe to the Habit Machine Podcast for more on AI-native product strategy, behavioral design, and the skills that survive the infrastructure shift.

15 total episodes available

Deep-dive analytics for Habit Machine: AI Product Management

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is Habit Machine: AI Product Management?: AI changes everything. But human nature stays the same. Learn to build products that respect attention, reduce friction, and earn repetition. AI has turned product management upside down. Static interfaces are dying. Users now expect products that anticipate, adapt, and execute without asking. The old playbook — roadmaps, backlogs, stakeholder alignment — still exists. It's just no longer enough to win.

This book is for product leaders who feel the shift. The author spent 20 years building at scale — AI products, apps for 180 million users. And he holds a PhD in behavioral economics.
How often does this podcast release new episodes?: This podcast updates daily.
Where can I listen to this podcast?: This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
Does this podcast accept guests?: No, this podcast does not typically feature guests.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.