A tailored course, built for your situation
Deeper command of growth architecture patterns in high-velocity tech
Master the underlying frameworks that shape scalable growth systems in fast-moving engineering environments
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
The situation this course is for
Who this is for
Senior growth practitioner in high-tech environments who operates at the intersection of data, product, and user behavior
Who this is not for
Entry-level marketers, campaign-focused growth hackers, or those looking for plug-and-play templates without architectural depth
What you walk away with
- Fluency in the six core architectural patterns behind sustainable product-led growth
- Ability to map user behavior flows to data model constraints and growth KPIs
- Confidence to lead discussions on retention architecture without deferring to engineering
- Reusable logic models for activation, onboarding, and engagement loops
- Framework-specific decision rules for when to iterate, rebuild, or pivot
The 12 modules (with all 144 chapters)
Module 1. Growth as system design
Reframe growth work from campaign execution to system architecture. Define growth systems by inputs, feedback loops, and failure modes. Map common anti-patterns in early-cycle design.
12 chapters in this module
- From tactics to systems
- Inputs vs signals
- Feedback loop types
- Failure mode taxonomies
- System boundary setting
- Cohort definition rules
- Retention as function
- Activation thresholds
- Engagement decay curves
- Predictive retention modeling
- Data model alignment
- Behavioral tipping points
Module 2. Cohort architecture
Design cohorts not by date but by behavioral triggers and data model state. Learn how cohort logic shapes long-term retention and informs roadmap prioritization.
12 chapters in this module
- Event-driven cohorts
- State-based segmentation
- Trigger timing windows
- Persistence rules
- Cohort overlap handling
- Lifecycle mapping
- Behavioral baselines
- Signal weighting
- Model validation cycles
- Retention variance tracking
- Cross-cohort comparison
- Cohort debt identification
Module 3. Retention mechanics
Break down retention into architectural components: value realization timing, habit formation thresholds, and feature dependency trees.
12 chapters in this module
- Value delivery timing
- Habit threshold mapping
- Dependency tree logic
- Feature criticality scoring
- Usage interval targeting
- Engagement decay analysis
- Re-engagement triggers
- Drop-off signal detection
- Behavioral recovery paths
- Second-visit optimization
- Session depth targets
- Natural pause identification
Module 4. Activation systems
Design activation not as a funnel but as a navigable state space. Learn how data model constraints shape user progression and where to reduce friction.
12 chapters in this module
- State space modeling
- Progression path mapping
- Friction point taxonomy
- Default state optimization
- Onboarding dependency chains
- Action sequence pruning
- Completion threshold setting
- Time-to-value measurement
- First-value recognition
- User intent inference
- Progress signaling
- Skip-path design
Module 5. Experimentation frameworks
Move beyond A/B testing to architecture-level experiments. Design tests that validate structural assumptions, not just UI choices.
12 chapters in this module
- Structural hypothesis types
- Experiment scope boundaries
- Control group integrity
- Signal contamination avoidance
- Effect size thresholds
- Sequential testing logic
- Multi-variant design
- Holdout group strategy
- Behavioral consistency checks
- Long-term impact modeling
- Feedback loop validation
- Rollback condition setting
Module 6. Data model alignment
Align growth logic with underlying data models. Learn how schema design determines what behaviors can be tracked, optimized, and scaled.
12 chapters in this module
- Event schema design
- User state tracking
- Session boundary rules
- Entity relationship mapping
- Event cardinality control
- Attribute lifecycle management
- Real-time vs batch logic
- Signal freshness requirements
- Data debt identification
- Query performance constraints
- Index strategy for growth
- Schema evolution planning
Module 7. Feedback loop engineering
Design growth systems with intentional feedback loops. Learn how to close loops between behavior, data, and product response.
12 chapters in this module
- Loop closure timing
- Signal-to-action latency
- Automated response rules
- User feedback integration
- Behavioral reinforcement design
- Loop stability testing
- Amplification thresholds
- Damping mechanisms
- Noise filtering
- Signal prioritization
- Response cadence tuning
- Feedback decay modeling
Module 8. Growth debt identification
Recognize architectural trade-offs that create long-term drag. Learn how to audit for growth debt and prioritize technical remediation.
12 chapters in this module
- Debt signal detection
- Shortcut impact analysis
- Temporary logic tracking
- Behavioral workaround mapping
- Tech-debt crossover points
- Repayment prioritization
- Refactor readiness scoring
- Impact surface mapping
- Dependency chain analysis
- Migration path design
- Backward compatibility rules
- User state transition planning
Module 9. Cross-system integration
Design growth systems that span product, marketing, and support. Learn integration patterns that preserve data fidelity and user experience.
12 chapters in this module
- Identity resolution
- Cross-tool event sync
- Attribution logic design
- Touchpoint consistency
- Channel conflict resolution
- Unified user journey mapping
- Data ownership rules
- Event deduplication
- System-of-record definition
- Sync latency tolerance
- Error state handling
- Integration testing strategy
Module 10. Scalability thresholds
Anticipate where growth systems break under scale. Learn how to design for load, latency, and behavioral diversity from the start.
12 chapters in this module
- Load tolerance modeling
- Latency impact analysis
- Behavioral variance handling
- Edge case prioritization
- Performance budgeting
- Resource constraint planning
- Failure mode anticipation
- Graceful degradation design
- Capacity signaling
- Scaling trigger definition
- System elasticity planning
- Cost-per-action thresholds
Module 11. Decision rule frameworks
Build reusable logic for common growth decisions. Replace ad-hoc judgment with structured, transparent rules.
12 chapters in this module
- Rule scope definition
- Condition hierarchy design
- Threshold setting methodology
- Exception handling
- Rule versioning
- Stakeholder alignment
- Transparency documentation
- Audit trail design
- Automated enforcement
- Feedback integration
- Rule retirement criteria
- Governance model setup
Module 12. Architectural fluency in practice
Apply mastery to real-world scenarios. Practice leading architectural discussions, reviewing designs, and making high-stakes trade-offs.
12 chapters in this module
- Spec review framework
- Trade-off articulation
- Peer challenge response
- Risk communication
- Engineering alignment
- Product partnership
- Leadership communication
- Trade-off justification
- Design critique structure
- Framework comparison
- Decision documentation
- Post-mortem integration
How this maps to your situation
- Designing a new onboarding flow with engineering
- Diagnosing unexpected drop in activation rate
- Proposing a shift in cohort definition strategy
- Leading a cross-functional growth architecture review
Before vs. after
Before
Growth decisions rely on fragmented intuition and isolated experiments
After
Growth architecture is intentional, repeatable, and grounded in deep framework mastery
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: 6, 8 hours per module, designed for real-world application alongside current work
How this compares to the alternatives
Unlike generic growth courses focused on tactics or tools, this program builds deep fluency in the architectural patterns that determine long-term success in high-velocity tech environments.
Frequently asked
Who is this course designed for?
Senior growth practitioners in high-tech environments who want to lead architectural decisions, not just execute campaigns.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is there video content?
No. The course is text-based with detailed examples, templates, and a hand-built implementation playbook.
$199 one-time. 6, 8 hours per module, designed for real-world application alongside current work.
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours