A tailored course, built for your situation
Strategic Product Growth: Data-Driven Planning for Scaling Impact
Turn experimentation into predictable growth with a structured, execution-ready framework.
$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.
Running experiments without a clear path to scalable impact?
The situation this course is for
You're leading growth initiatives, but scattered A/B tests, misaligned teams, and unclear metrics make it hard to prove value or scale what works. You need a system , not more tactics.
Who this is for
Senior product leaders driving growth through data and experimentation, operating in complex environments where alignment, speed, and measurable outcomes are non-negotiable.
Who this is not for
Entry-level PMs, non-technical founders, or those not currently owning growth strategy or experimentation at scale.
What you walk away with
- Design growth experiments that directly tie to business KPIs
- Build cross-functional alignment around a shared growth roadmap
- Identify high-impact opportunities using behavioral and funnel data
- Scale winning experiments with operational playbooks
- Reduce wasted cycles on low-impact testing
The 12 modules (with all 144 chapters)
Module 1. Diagnosing Growth Levers
Map your current product landscape to identify where growth is blocked and where it can be unlocked using behavioral and operational data.
12 chapters in this module
- Defining growth scope
- Mapping user journeys
- Identifying friction points
- Assessing data readiness
- Benchmarking performance
- Prioritizing levers
- Stakeholder alignment
- Setting outcome goals
- Defining success metrics
- Creating baseline dashboards
- Diagnosing team gaps
- Planning first sprint
Module 2. Hypothesis Design Framework
Structure testable, high-potential ideas using a repeatable format that links user behavior to business outcomes.
12 chapters in this module
- From insight to hypothesis
- Framing cause and effect
- Using behavioral triggers
- Avoiding vanity metrics
- Scoring idea impact
- Estimating effort cost
- Linking to KPIs
- Creating test briefs
- Validating assumptions
- Designing control groups
- Setting sample size
- Documenting rationale
Module 3. Data Infrastructure for Testing
Ensure your tracking, event schema, and analytics setup support reliable, fast, and scalable experimentation.
12 chapters in this module
- Event taxonomy design
- Tracking implementation
- Ensuring data quality
- Setting up dashboards
- Automating alerts
- Managing data access
- Auditing historical data
- Validating instrumentation
- Integrating tools
- Reducing latency
- Scaling for volume
- Maintaining schema
Module 4. Experiment Design Patterns
Apply proven structures for A/B, multivariate, and staged rollout tests that minimize risk and maximize learning.
12 chapters in this module
- Choosing test type
- Defining variants
- Randomization setup
- Traffic allocation
- Duration planning
- Guardrail metrics
- Risk mitigation
- Staged rollout design
- Progressive delivery
- Fallback planning
- Documentation standards
- Launch checklist
Module 5. Cross-Functional Alignment
Align engineering, design, and marketing teams around shared goals, timelines, and success criteria.
12 chapters in this module
- Stakeholder mapping
- Communicating goals
- Aligning incentives
- Running kickoff sessions
- Managing dependencies
- Tracking handoffs
- Creating shared dashboards
- Facilitating reviews
- Resolving conflicts
- Updating roadmaps
- Measuring team velocity
- Improving collaboration
Module 6. Execution Readiness
Prepare your team and systems for fast, reliable test execution with pre-built templates and checklists.
12 chapters in this module
- Test brief finalization
- Engineering handoff
- QA validation
- Feature flag setup
- Monitoring baseline
- Preparing analytics
- Launching safely
- Tracking anomalies
- Capturing feedback
- Documenting issues
- Updating runbooks
- Post-launch review
Module 7. Statistical Interpretation
Interpret results with confidence, avoiding false positives and overfitting while surfacing real insights.
12 chapters in this module
- Reading confidence intervals
- Assessing significance
- Avoiding peeking
- Handling multiple metrics
- Detecting bias
- Evaluating effect size
- Understanding variance
- Adjusting for leakage
- Reviewing segmentation
- Identifying confounders
- Validating causality
- Reporting outcomes
Module 8. Scaling Winning Patterns
Turn isolated wins into repeatable systems by documenting, generalizing, and operationalizing results.
12 chapters in this module
- Identifying transferable insights
- Generalizing principles
- Creating playbooks
- Scaling rollout
- Monitoring performance
- Updating documentation
- Training teams
- Institutionalizing patterns
- Tracking adoption
- Measuring efficiency
- Reducing execution cost
- Optimizing workflows
Module 9. Portfolio Management
Manage a pipeline of experiments with prioritization, capacity planning, and outcome tracking.
12 chapters in this module
- Backlog creation
- Capacity modeling
- Prioritization frameworks
- Resource allocation
- Cycle planning
- Progress tracking
- Review cadence
- Kill criteria
- Learning aggregation
- Reporting upward
- Managing dependencies
- Optimizing throughput
Module 10. Growth Culture Development
Foster a team environment where experimentation, learning, and iteration are standard practice.
12 chapters in this module
- Setting team norms
- Rewarding learning
- Sharing failures
- Running retrospectives
- Celebrating wins
- Improving psychological safety
- Encouraging curiosity
- Reducing fear of failure
- Promoting ownership
- Building feedback loops
- Scaling rituals
- Measuring cultural shift
Module 11. Product-Market Feedback Loops
Integrate user insights, support data, and behavioral trends into your growth planning process.
12 chapters in this module
- Capturing user feedback
- Analyzing support tickets
- Mining NPS comments
- Linking to behavior
- Identifying patterns
- Prioritizing themes
- Feeding into ideation
- Validating with users
- Tracking sentiment
- Measuring engagement
- Closing feedback loops
- Improving response rate
Module 12. Sustainable Growth Systems
Build long-term resilience by balancing innovation, technical debt, and team capacity.
12 chapters in this module
- Measuring technical debt
- Balancing speed and quality
- Investing in infrastructure
- Managing team burnout
- Scaling processes
- Optimizing for retention
- Avoiding churn traps
- Aligning with strategy
- Planning for scale
- Reviewing trade-offs
- Updating playbooks
- Evolving frameworks
How this maps to your situation
- Leading product growth in a scaling organization
- Managing cross-functional teams under pressure
- Delivering measurable outcomes with limited runway
- Turning data into action without over-engineering
Before vs. after
Before
Overwhelmed by disjointed experiments, unclear metrics, and misaligned teams.
After
Running a coordinated, data-driven growth engine that delivers predictable results.
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: Approximately 3-5 hours per module, designed for integration into real-world workflows.
If nothing changes
Without a structured system, even smart teams waste cycles on low-impact tests, fail to scale wins, and lose credibility with leadership.
How this compares to the alternatives
Unlike generic growth courses, this is built for senior product leaders who need execution-ready systems , not just theory. It replaces fragmented tools and spreadsheets with a unified, scalable framework.
Frequently asked
Who is this course for?
Senior product managers and leaders responsible for driving growth through data, experimentation, and cross-functional execution.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is there a money-back guarantee?
Yes, 30-day money-back guarantee if the course doesn’t meet expectations.
$199 one-time. Approximately 3-5 hours per module, designed for integration into real-world workflows..
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