Оглавление - Habit Machine

Name: Habit Machine
Author: Vladimir PhD Dyachkov

AI Product Management

Vladimir PhD Dyachkov

Объем: 493 бумажных стр.

Формат: epub, fb2, pdfRead, mobi

Подробнее

0.00 Оценить

О книге отзывы Оглавление Читать фрагмент

A Note From the Author
How to Use This
Why Some Products Change Behavior While Others Disappear
The Real Moat Isn’t Features. It’s Behavioral Design
The Signal-to-Standard Pipeline
Why Most Signals Die Before They Scale
Simple Products: Engineering the Modern Magic
The Cognitive Tax of Complexity
Why Complexity Starves Habit Formation
The Four Principles of Frictionless Design
The Simplicity Dividend: A Diagnostic for Product Teams
The Experience Stack: From Interface to Identity
Layer 1 & 2: UI and Usability (The Surface)
Layer 3 & 4: UX and CX (The Journey)
Layer 5: HX (The Behavioral Shift)
Engineering the Illusion of Effort: A 4-Step Process
The Experience Stack Diagnostic
The Behavioral Adoption Checklist: 5 Thresholds for Habit Formation
Threshold 1: Immediate Value Recognition
Threshold 2: Zero Behavioral Tax
Threshold 3: Frictionless Execution
Threshold 4: Organic Retention & Advocacy
Threshold 5: Default Displacement
The Reality Check: Why Most Checklists Fail
The Build-Validate-Ship Loop: An Operating System for Product Creation
Phase 1: Discovery (Design Thinking)
Phase 2: Validation (Lean Startup)
Phase 3: Delivery (Agile)
Operating the Loop: Rhythm Over Ritual
Operating the Cycle: Rhythm Over Ritual
Design Thinking: The Discipline of Problem-First Creation
The Expand-Converge Rhythm
The Five Stages of Problem-First Design
From Insights to a Value-Driven Backlog
The Trap: Research Without Shipping
The Lean Validation Loop: From Ideal Concept to Market Signal
The MVP Mindset: Learning Over Shipping
The Build-Measure-Learn Cycle in Practice
Translating Ideal to MVP: A Practical Filter
When to Evolve: Earning the Right to Build
The Agile Execution Engine: Shipping, Learning, and Adapting in Real Time
Classical Management Didn’t Disappear. It Compressed
The Four-Ceremony Feedback Loop
Agile as Organizational Design
Marketing Is Not a Phase. It’s a Loop
Phase 1: Design Thinking — Position Before You Build
Phase 2: Lean Validation — Test Demand, Not Just Features
Phase 3: Agile Execution — Teach the Behavior as You Ship
Phase 4: Go-to-Market — Scale the Signal Into a Standard
The Five Principles of Embedded Marketing
The Product Builder’s Operating System: A Practical Checklist
How to Run the Loop Without Burning Out
Why This Approach Works
The Evidence Engine: How Data Shapes Every Product Decision
Phase 1: Research & Idea Formation — Replace Guesswork with Signal
Phase 2: Validation & MVP Testing — Prove Demand Before You Build
Phase 3: Development & Backlog Prioritization — Ship for Impact, Not Output
Phase 4: Scaling & Growth — Compound Value, Don’t Subsidize Decay
The Five Principles of an Evidence-Driven Culture
How to Build an Evidence-Driven Team
The AI Multiplier: From Signal to Product Action
1. Understanding Users & Market Signals
2. Compressing Ideation & Prototyping
3. Personalization & UX Optimization
4. Accelerating Development & Internal Operations
5. Growth, GTM & Lifecycle Optimization
How to Integrate AI Without Losing Your Product Compass
The New Competitive Moat: Behavior, Data, and Ecosystem Gravity
1. Speed to Behavioral Capture
2. Data as a Compounding Moat
3. Attention Engineering Over Feature Parity
4. Ecosystem Gravity vs. Standalone Products
What This Means for Product Strategy
The Launch Kill Switch: 6 Patterns That Sink Products
Pattern 1: The Idea Trap (Love Over Validation)
Pattern 2: The Behavior Gap (Features Over Friction)
Pattern 3: The Readiness Mismatch (Timing vs. Reality)
Pattern 4: The Retention Blind Spot (Attraction ≠ Habit)
Pattern 5: The Paid Illusion (Forcing Growth)
Pattern 6: The Hype Hangover (Novelty Without Loops)
The Pre-Launch Risk Diagnostic
The Modern Product Manager: Skills, Systems, and AI Leverage
Beyond the Backlog: The Four Pillars of the PM
Context Dictates Execution: How the Role Shifts
The Stakeholder Landscape – Conflicting Goals Are Normal
Behavioral Design Internally
The AI-Native Capability Stack
The Modern PM’s Core Checklist (Unified)
Behavioral Intelligence: The Art of Customer Research
Customer Development: Behavioral Signals Over Stated Preferences
Jobs to Be Done (JTBD): Hiring Products for Progress
Personas and Empathy Maps: Beyond Demographics
Customer Journey Mapping: The Full Experience Loop
Pain and Gain Analysis: The Friction-Relief Matrix
The Research Stack & Diagnostic Checklist
The Information Signal: How a Product Rewires Behavior
The Three Trajectories of Market Response
Anatomy of a Strong Signal
Signal vs. Slogan: The Behavioral Invitation
The Need-Signal Alignment: Why Some Products Stick and Others Fade
The Hierarchy of Product Needs: Mapping Signal to Motivation
The 5 Rules of Need-Signal Alignment
The Four Product Trajectories: How Markets Decide What Sticks
Trajectory 1: Institutionalization — The Product Becomes the Default
Trajectory 2: Niche Domination — Profitable, Bounded, Durable
Trajectory 3: Novelty Decay — Peaks, Then Fades
Trajectory 4: Behavioral Mutation — Escaping the Founder’s Intent
What Determines the Path?
The Institutional Layer: How Products Become Social Norms
How Patterns Become Norms
Competition Between Institutional Patterns
Why Management Signals Backfire
The Data Advantage: Measuring Institutional Patterns
Best Practices in Social Engineering
Worst Practices to Avoid
The Institutional Layer as Competitive Advantage
The Imitation Engine: How Markets Copy, Converge, and Lock In
The Trust Filter: Why Source Matters More Than Content
Mechanisms of Signal Propagation: Direct, Networked, Institutional
Case Studies: Trust Filters in Action
Best Practices: Designing for Trusted Propagation
Worst Practices: What Breaks the Trust-Imitation Chain
Practical Guidance: Engineering for Social Legibility
The Virality Engine: Designing Products That Spread Themselves
The Five Engines of Product-Led Spread
The Behavioral Lens: Why Users Actually Share
Common Traps in Viral Design
Practical Checklist: Engineering Viral Mechanics
The Friction Tax: How Interaction Costs Kill Habit Formation
The Three Layers of Friction
Business & Model Friction: When GTM Blocks Adoption
Principles of Friction Removal
Practical Checklist: Auditing the Friction Tax
The Normality Threshold: Metrics, Economics, and the Cost of Habit Formation
Signals of Normality: When Usage Becomes Routine
False Signals: The Illusion of Momentum
Practical Checklist: Measuring the Normality Threshold
The Normalization Diagnostic: 8 Gates to Market Default
Gate 1: Clear Information Signal
Gate 2: Need-Signal Alignment
Gate 3: Early Adopter Density
Gate 4: Social Reinforcement
Gate 5: Low Interaction Barriers
Gate 6: Organic Spread Potential
Gate 7: Social Standardization
Gate 8: Behavioral Metric Proof
How to Manage Growing Product Without Chaos
The Four Stages of Product Growth
The Five Failure Modes of Scaling
The Complexity Trap: From Startup to System
Practical Checklist: Scaling Readiness
The Simplicity Tax: Protecting Core Value as Products Scale
The Mechanics of Bloat: How Good Intentions Compound Into Chaos
The Friction Inventory: What Users Actually Don’t Want
Three Structural Drivers of Unnecessary Complexity
Four Strategies to Preserve Coherence at Scale
Practical Checklist: The Subtraction Audit
The Operating System of Scale: Designing Teams for Speed and Clarity
Functional Structures vs. Agile Scaling
From Departments to Value Incubators
The Teal Model: Autonomy vs. Chaos
The PM’s Role Across Structures
Practical Checklist: Choosing Your Operating Model
The Product Doctor: Treating the Product with Data
When to Run an Audit: The Three Triggers
The Four Layers of a Modern Product Audit
From Diagnosis to Action: The Decision Pipeline
Case Study: The 30% Churn Fix
Practical Checklist: Running Your First Audit
Defining the Audit: From Data Collection to Decision Architecture
The Two Lenses: Business Health Meets System Reality
The Four Core Diagnostic Goals
Mapping Goals to the Four Audit Layers
The Systemic Link: Why Siloed Audits Fail
Common Diagnostic Traps
Practical Checklist: Scoping Your Audit
The Go-to-Market & Retention Diagnostic: Aligning Channels, Behavior, and Market Reality
Part 1: The Retention Audit — Where Marketing Meets Product Reality
Part 2: The Growth Audit — Channel Economics & Scalable Pull
Part 3: The External Environment Audit — Category Shifts & AI Forces
Common Diagnostic Traps
Practical Checklist: Scoping Your Marketing Audit
The Dual-Track Diagnostic: Measuring Behavior, Decoding Motivation
Quantitative Methods: The Science of What Happened
Qualitative Methods: The Psychology of Why It Happened
The Synthesis: Turning Data Into Decisions
Practical Checklist: The Dual-Track Diagnostic
From Diagnosis to Delivery: The 4-Step Execution Framework
Step 1: Map the Problem Space Visually
Step 2: Build an Evidence-Based Backlog
Step 3: Align Resources with Reality
Step 4: Execute Through Iterative Cycles
Practical Checklist: Audit Execution Readiness
The Audit Execution Checklist: From Diagnosis to Decision
Phase 1: Define Scope & Hypotheses
Phase 2: Collect & Analyze Evidence
Phase 3: Map the Problem Space
Phase 4: Build the Execution Backlog
Phase 5: Resource & Capacity Alignment
Phase 6: Implement, Measure, Iterate
Practical Checklist: Audit Execution Readiness
The Runway Calculation: Knowing When to Invest, Optimize, or Sunset
The Three Forces of Product Longevity
Metrics Over Mood: Measuring Strategic Runway
Decision Frameworks for Mature Products
The High-Cost Mistakes: Extension Traps & Late Switches
When to Pull the Trigger: The Warning Signs
Practical Checklist: Runway Readiness
The Maturity Monetization Playbook: Extracting Value Without Breaking the Loop
The Revenue Equation: Systemic Thinking Over Isolated Tactics
The Four Levers of Mature Monetization
Choosing the Right Lever: Diagnostic Allocation
Common Monetization Plays & Risk Mapping
The Golden Rule: Monetization as Preservation, Not Extraction
Practical Checklist: Monetization Readiness
The Lifecycle Monetization Playbook: Capturing Indirect Value
The Three Engines of Mature Monetization
Case Studies: What Works When Growth Slows
Practical Checklist: The Indirect Value Diagnostic
The Engagement Architecture: Habit, Reward, and the Ethics of Retention
The Core Mechanics of Mature Retention
Why Users Stay When Value Declines
The Ethical Engagement Matrix
Principles for Responsible Retention
Practical Checklist: The Retention & Ethics Audit
The Support Architecture: When Help Becomes a Feature
When Support Is Strategic vs. When It’s a Symptom
The Five Warning Signs of Support-as-Cover
Designing Product-Native Support
Practical Checklist: The Support Diagnostic
The Decline Management Framework: Transition, Transfer, and the Next Cycle
The Four Forces of Product Decline
Reinvention vs. Artificial Extension
The Asset Transfer Strategy
Launching the Next Cycle: The Lean Reinvention Loop
Practical Checklist: Decline & Transition Readiness
The Maturity Operating Framework: Protect, Optimize, and Transition
1. Diagnose the Stage: Invest, Optimize, or Transform?
2. Maximize Profit Without Breaking the Loop
3. Prepare for Change Before Decline Forces It
4. Reuse Assets to Launch the Next Cycle
5. Organize for Transformation, Not Just Maintenance
6. Return to First Principles: Learn Again
7. Define KPIs That Measure Real Transition
Practical Checklist: Maturity Readiness
The Domain Fit Principle: Why Product Type Dictates Management Logic
The Four Core Product Archetypes & Their Management Logic
Universal Methods, Contextual Application
How PMs Should Choose Their Track
The Hiring Imperative: Match the Problem, Not the Title
Universal PM Foundations
Practical Checklist: Domain Fit & Hiring Readiness
The Social Architecture of Community Products: Co-Creating Value at Scale
The Co-Production Engine: How Value Is Actually Created
Four Archetypes of Community Products
The Three Compounding Advantages
Vertical vs. Horizontal Social Structures
Designing for Healthy Community Mechanics
Open Development & Community-Led Building
Practical Checklist: Launching & Scaling Community Products
The Infrastructure Imperative: Managing Technology Products and Developer Trust
The Core Characteristics of Technology Products
The Tech PM’s Operating Logic
Best Practices for Building & Scaling Infrastructure
Monetization & Growth in Technical Markets
Common Pitfalls & How to Avoid Them
Practical Checklist: Infrastructure Product Readiness
The Attention Architecture: Managing Media and Content Products in an AI-Driven Era
The Core Physics of Content Products
The Existential Risk: Algorithm & AI Displacement
Monetization & Attention Economics
Best Practices for Content Product Management
Common Strategic Errors in Media Products
Practical Checklist: Content Product Readiness
The Living System: Managing Gaming Products and Player Psychology
The Core Architecture of Gaming Products
Three Defining Characteristics
Game Development vs. Classic Product Development
Monetization, Community & Player Psychology
Survival Framework: What Great Gaming Teams Do
Practical Checklist: Gaming Product Readiness
The Convergence Imperative: Managing Hybrid and IoT Products
The Two-Way Convergence: Offline Digitizes, Online Materializes
Four Core Challenges of Hybrid Product Design
IoT & The Shift to Service Ecosystems
The PM’s Role in Hybrid Systems
Practical Checklist: Launching & Scaling Hybrid Products
The Agent-Orchestrated Lifecycle: From Manual Execution to Strategic Coordination
How Roles Shift in an AI-Native Workflow
The Compressed Feature Lifecycle
The Solo Builder Blueprint: From Concept to Signal in Six Sprints
Practical Checklist: Solo & Agent Readiness
The Next-Gen PM Blueprint: Compounding Judgment in an AI-Driven Market
The Durability Filter: Fundamentals vs. Temporary Tools
Choosing Your Terrain: Domain-Specific PM Tracks
AI Competence: From Tool User to System Designer
How to Learn AI Well: Principles Over Platforms
A Practical Development Philosophy
Practical Checklist: Next-Gen PM Development Readiness
The Next-Gen PM Resume: Engineering Confidence Through Evidence
The PM Longevity Framework: Compounding Relevance in an AI-Driven Market
Seven Pillars of Continuous Relevance
Practical Checklist: The Longevity Audit
Thesarius
General Product Terms
Methodologies & Frameworks
Behavioral Psychology & Economics
AI & Technology Terms
Technical & Architectural Terms
UX/UI Terms
Product Types & Categories
Market & Competitive Terms
Growth & Monetization Metrics
Organizational & Team Terms
Research & Validation Terms
References
Books