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Faster path from growth intent to shipped experiments

$199.00
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A tailored course, built for your situation

Faster path from growth intent to shipped experiments

Turn growth hypotheses into validated outcomes in half the time

$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

Growth practitioner in tech focused on rapid experimentation and conversion optimization

Who this is not for

Those seeking broad marketing theory or brand strategy

What you walk away with

  • Confidence in prioritizing high-impact growth levers first
  • Ability to design and launch minimal-viable tests in under 48 hours
  • Frameworks to interpret results faster with statistical clarity
  • Templates for rapid stakeholder alignment without back-and-forth
  • Systems to compound learning across cycles, reducing setup time by 60%

The 12 modules (with all 144 chapters)

Module 1. From hunch to hypothesis
Turn vague ideas into testable, high-signal growth hypotheses using pattern-matching from top-performing tech teams.
12 chapters in this module
  1. Spot growth signals in user behavior
  2. Frame falsifiable predictions
  3. Map effort to expected impact
  4. Classify by channel fit
  5. Avoid over-indexing on vanity metrics
  6. Use analogs to validate plausibility
  7. Trim scope to core assumption
  8. Label risk type early
  9. Tag for speed potential
  10. Sequence by dependency
  11. Align language with engineers
  12. Document for reuse
Module 2. Lean test design
Build experiments that isolate variables, minimize build time, and maximize learning per unit of effort.
12 chapters in this module
  1. Define primary success metric
  2. Lock in secondary guardrails
  3. Choose A/B vs. multivariate
  4. Size sample for speed
  5. Set runtime upfront
  6. Mock before building
  7. Re-use tracking schemas
  8. Draft analysis plan early
  9. Pre-agree on decision rule
  10. Design fallback path
  11. Label confidence thresholds
  12. Trim non-essentials
Module 3. Accelerated stakeholder alignment
Get fast buy-in from product, data, and leadership using lightweight, evidence-based templates.
12 chapters in this module
  1. Pre-wire with one-pagers
  2. Use precedent from similar tests
  3. Flag resource needs early
  4. Attach lightweight ROI estimate
  5. Highlight user benefit
  6. Preempt common objections
  7. Visualize expected lift
  8. Link to roadmap themes
  9. Schedule quick syncs
  10. Send async for input
  11. Summarize feedback instantly
  12. Close loops within 24h
Module 4. Fast-tracked engineering coordination
Work with engineering teams efficiently by speaking their language and reducing back-and-forth.
12 chapters in this module
  1. Draft specs in Jira-ready format
  2. Estimate effort using t-shirt sizes
  3. Bundle small asks
  4. Clarify tracking requirements
  5. Define QA checklist
  6. Pin down launch timing
  7. Flag dependencies early
  8. Provide copy assets upfront
  9. Mark urgency clearly
  10. Respect sprint boundaries
  11. Follow up in stand-up rhythm
  12. Acknowledge trade-offs
Module 5. Rapid data validation
Cut through noise and determine experiment validity within days, not weeks.
12 chapters in this module
  1. Check data freshness first
  2. Verify tracking fires correctly
  3. Spot anomalies fast
  4. Assess statistical significance
  5. Control for external factors
  6. Review segment consistency
  7. Run sanity checks
  8. Compare to baseline
  9. Flag edge cases
  10. Confirm sample balance
  11. Determine confidence level
  12. Summarize findings clearly
Module 6. Clear decision protocols
Make go/no-go calls faster with pre-defined rules and shared frameworks.
12 chapters in this module
  1. Use decision matrix template
  2. Apply confidence-weighted scoring
  3. Categorize outcomes as win/maybe/lose
  4. Escalate only when needed
  5. Document rationale instantly
  6. Tag for iteration potential
  7. Share results in standard format
  8. Update roadmap promptly
  9. Archive learnings centrally
  10. Flag replication candidates
  11. Note timing dependencies
  12. Track opportunity cost
Module 7. Reusable feedback loops
Design systems that capture and reuse insights across tests to accelerate future cycles.
12 chapters in this module
  1. Store hypotheses in searchable log
  2. Tag by theme and outcome
  3. Build pattern recognition
  4. Reuse winning structures
  5. Avoid repeating failed designs
  6. Update playbooks quarterly
  7. Create shortcut templates
  8. Archive results by funnel stage
  9. Link to user research
  10. Map to product roadmap
  11. Track velocity over time
  12. Share insights in digest format
Module 8. Cross-cycle compounding
Make each experiment faster by leveraging what was learned in prior rounds.
12 chapters in this module
  1. Review past tests before new design
  2. Reuse winning variables
  3. Apply proven copy patterns
  4. Leverage existing tracking
  5. Adapt top-performing flows
  6. Avoid previous pitfalls
  7. Build on partial wins
  8. Re-test with new segments
  9. Scale successful micro-changes
  10. Combine winning elements
  11. Document evolution path
  12. Measure cumulative lift
Module 9. Minimal-viable documentation
Capture just enough context to enable reuse and alignment, without slowing momentum.
12 chapters in this module
  1. Write once, use many times
  2. Template core sections
  3. Use consistent naming
  4. Link to source data
  5. Summarize in three bullets
  6. Attach visual flow
  7. Note key assumptions
  8. List contributors
  9. Tag for discoverability
  10. Update only when critical
  11. Archive old versions
  12. Publish in shared space
Module 10. Speed-optimized iteration
Turn losing tests into faster wins by isolating learnings and adjusting rapidly.
12 chapters in this module
  1. Identify which assumption failed
  2. Preserve working components
  3. Adjust one variable at a time
  4. Re-launch in under 72h
  5. Apply learnings to similar tests
  6. Test counter-hypotheses
  7. Flip the framing
  8. Change the audience
  9. Adjust the timing
  10. Modify the incentive
  11. Iterate on copy first
  12. Validate fast changes
Module 11. High-velocity prioritization
Consistently pick the next best test using a repeatable, evidence-based filter.
12 chapters in this module
  1. Score by effort vs. impact
  2. Factor in strategic alignment
  3. Weight by user segment size
  4. Include potential for scale
  5. Assess speed to ship
  6. Rank using team input
  7. Review backlog weekly
  8. Retire low-potential ideas
  9. Surface dormant opportunities
  10. Rotate in fresh inputs
  11. Balance short- and long-term
  12. Update rankings dynamically
Module 12. End-to-end compression
Tie all stages together into a single system that shortens time from idea to impact.
12 chapters in this module
  1. Map your current cycle time
  2. Identify top three delays
  3. Apply time-saving templates
  4. Standardize communication
  5. Reduce approval layers
  6. Batch similar tests
  7. Pre-load resources
  8. Automate status updates
  9. Measure total cycle time
  10. Target 50% reduction
  11. Celebrate speed wins
  12. Teach system to others

How this maps to your situation

  • When launching first test in a new funnel area
  • After a test fails to move the needle
  • Before quarterly roadmap planning
  • When onboarding new team members

Before vs. after

Before
Ideas take weeks to move from concept to validated insight, with inconsistent documentation and repeated debates over methodology.
After
Hypotheses ship in days, results are clear within a week, and every test builds on prior learning, cutting cycle time by half.

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 hours per module, optimized for just-in-time learning and immediate application.

How this compares to the alternatives

Unlike generic growth courses, this program is built specifically for practitioners who need to move faster without sacrificing rigor, delivering actionable systems, not theory.

Frequently asked

Is this course focused on paid ads or organic growth?
It's platform-agnostic, focused on the process of testing and learning, regardless of channel.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this work for non-technical growth leads?
Yes, designed for cross-functional leads who collaborate with engineering and data teams.
$199 one-time. Approximately 3 hours per module, optimized for just-in-time learning and immediate application..

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
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