AI Product Marketing: Research Position Launch and Scale

Use AI for customer research, positioning, messaging, launches, adoption, measurement, and scalable product growth

Created byDr. Law Payne

Last updated 11/2026

English

What you'll learn

Build a complete AI product marketing system connected to customer and business outcomes.
Diagnose evidence gaps, assumptions, constraints, risks, and decision bottlenecks.
Translate strategy into an accountable workflow with clear owners and review gates.
Evaluate quality, economics, customer response, and implementation readiness.

Course content

2 sections • 11 lectures • 1h 49m total length

The AI Product Marketing Operating System10:01
Build an AI-assisted product marketing operating system that connects evidence, positioning, execution, review, and accountability.
AI-Assisted Customer and Market Intelligence10:02
Use artificial intelligence to strengthen customer research, market intelligence, and evidence-based opportunity decisions.
Positioning Messaging Proof and Competitive Strategy9:48
Develop differentiated positioning, clear messaging, credible proof, and an informed competitive strategy.
Launch Campaigns Enablement and Cross-Functional Work9:54
Plan product launches, campaigns, sales enablement, and cross-functional execution with clear ownership and review gates.
Adoption Analytics Governance and Responsible Scale9:56
Measure adoption and business impact, establish governance, and scale AI-assisted product marketing responsibly.

Workshop 1: The Product Marketing Operating System10:06
Work through the practical lesson: The Product Marketing Operating System. This applied study preserves the original Product Marketing Domination - Position, Launch and Win case context, then transfers its decision method to AI Product Marketing: Research Position Launch and Scale.

Complete Strategy Decision Brief and Measurement and Learning Plan. Make a specific business decision visible before selecting activities or tools. Select a small set of defined measures and use them to make decisions rather than report activity.

Use the attached workbook to separate evidence from assumptions, compare alternatives and record an accountable next action with a review trigger. The final worked case is a separate fictional practice exercise.
Workshop 2: Customer Intelligence and Market Segmentation10:00
Work through the practical lesson: Customer Intelligence and Market Segmentation. This applied study preserves the original Product Marketing Domination - Position, Launch and Win case context, then transfers its decision method to AI Product Marketing: Research Position Launch and Scale.

Complete Customer Interview Guide and Market Segmentation Matrix. Gather evidence of real behavior and unmet needs without leading people toward your preferred solution. Compare distinct segments using need, fit, access, and economic potential rather than broad demographics alone.

Use the attached workbook to separate evidence from assumptions, compare alternatives and record an accountable next action with a review trigger. The final worked case is a separate fictional practice exercise.
Workshop 3: Positioning Messaging and Competitive Advantage9:55
Work through the practical lesson: Positioning Messaging and Competitive Advantage. This applied study preserves the original Product Marketing Domination - Position, Launch and Win case context, then transfers its decision method to AI Product Marketing: Research Position Launch and Scale.

Complete Positioning Statement Builder and Competitive Alternatives Comparison. Connect a defined audience and important problem to a credible differentiated value proposition. Compare what customers can actually choose, including doing nothing, using explicit and fair criteria.

Use the attached workbook to separate evidence from assumptions, compare alternatives and record an accountable next action with a review trigger. The final worked case is a separate fictional practice exercise.
Workshop 4: Launch Strategy and Cross-Functional Execution9:45
Work through the practical lesson: Launch Strategy and Cross-Functional Execution. This applied study preserves the original Product Marketing Domination - Position, Launch and Win case context, then transfers its decision method to AI Product Marketing: Research Position Launch and Scale.

Complete Messaging and Proof Map and Product Launch Execution Plan. Translate positioning into messages that answer buyer questions and are backed by verifiable proof. Coordinate a launch around a target audience, a clear offer, readiness, and measurable customer response.

Use the attached workbook to separate evidence from assumptions, compare alternatives and record an accountable next action with a review trigger. The final worked case is a separate fictional practice exercise.
Workshop 5: Adoption Growth and Product Marketing Measurement9:54
Work through the practical lesson: Adoption Growth and Product Marketing Measurement. This applied study preserves the original Product Marketing Domination - Position, Launch and Win case context, then transfers its decision method to AI Product Marketing: Research Position Launch and Scale.

Complete Activation and Adoption Map and Experiment Design Card. Define the observable value moment and design a path that helps the right users reach it. Design a controlled test that can distinguish a useful mechanism from noise or wishful thinking.

Use the attached workbook to separate evidence from assumptions, compare alternatives and record an accountable next action with a review trigger. The final worked case is a separate fictional practice exercise.
Workshop 6: Validate Insights and Build the Market Decision Brief9:47
Work through the practical lesson: Validate Insights and Build the Market Decision Brief. This applied study preserves the original AI-Powered Market Research - Find Profitable Opportunities case context, then transfers its decision method to AI Product Marketing: Research Position Launch and Scale.

Complete Startup Assumption Validation Board and Measurement and Learning Plan. Test the most consequential assumptions before investing in a broad launch. Select a small set of defined measures and use them to make decisions rather than report activity.

Use the attached workbook to separate evidence from assumptions, compare alternatives and record an accountable next action with a review trigger. The final worked case is a separate fictional practice exercise.

Requirements

No coding experience is required.

Description

This course contains the use of artificial intelligence.

AI Product Marketing: Research, Position, Launch and Scale gives professionals a structured, evidence-based system for turning strategy into measurable customer and business value. The course moves beyond surface-level tactics and disconnected tool demonstrations. Students learn how to define outcomes, organize customer evidence, evaluate strategic options, execute with discipline, protect trust, and connect activity to financial and operational results.

The course is designed for product marketers, product managers, founders, growth teams, and go-to-market leaders. Across five detailed lectures, students work through a continuing business case, decision frameworks, implementation guidance, quality controls, common failure modes, and assignments that can be used immediately in an organization, client engagement, career, or business.

Students will learn how to diagnose evidence gaps, clarify assumptions, compare options, design an accountable workflow, and establish review gates before scaling. The course also explains how to evaluate quality, economics, customer response, implementation readiness, and responsible use of artificial intelligence. By the end, learners will have a practical ninety-day roadmap for disciplined execution and continuous improvement.

Dr. Law Payne combines doctoral-level leadership education with extensive entrepreneurial, marketing, and teaching experience. He holds a Doctor of Business Administration specializing in Organizational Leadership and Development, a master’s degree in Educational Psychology, a master’s degree in Business, and a bachelor’s degree in Business Administration and Marketing. His professional background includes nine-figure entrepreneurship, published work reaching more than one million copies, over fifteen years of teaching and coaching, and growth leadership involving more than one billion dollars in managed sales.

Who this course is for:

Product marketers, product managers, founders, growth teams, and go-to-market leaders.

AI Product Marketing: Research Position Launch and Scale

What you'll learn

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Course content

Build the Complete AI Product Marketing System5 lectures • 50min

Applied Workshop Lab: Evidence, Experiments and Execution6 lectures • 59min

Requirements

Description

Who this course is for: