AI-Powered Market Research: Find Profitable Opportunities

Use AI for market sizing, customer insight, competitor analysis, opportunity validation, and better decisions

Created byDr. Law Payne

Last updated 11/2026

English

What you'll learn

Build a complete market research 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 Market Intelligence Operating System9:50
Build an AI-assisted market intelligence operating system that connects research questions, evidence, analysis, review, and business decisions.
Customer Research and Voice-of-Market Evidence10:03
Collect and evaluate customer research and voice-of-market evidence while separating useful insight from noise and unsupported assumptions.
Competitor Analysis and Category Dynamics9:56
Analyze competitors, substitutes, category dynamics, and strategic gaps to understand where meaningful opportunity may exist.
Segmentation Opportunity Sizing and Positioning9:53
Segment the market, size opportunities, compare attractiveness, and translate evidence into stronger positioning choices.
Validate Insights and Build the Market Decision Brief9:47
Validate insights, document uncertainty, and create a market decision brief that leaders can use for accountable action.

Workshop 1: The Zero-to-Growth Startup System10:00
Work through the practical lesson: The Zero-to-Growth Startup System. This applied study preserves the original Startup Growth from Zero - Validate Launch and Scale case context, then transfers its decision method to AI-Powered Market Research: Find Profitable Opportunities.

Complete Strategy Decision Brief and Startup Assumption Validation Board. Make a specific business decision visible before selecting activities or tools. Test the most consequential assumptions before investing in a broad launch.

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: Validate the Problem Customer and Market9:58
Work through the practical lesson: Validate the Problem Customer and Market. This applied study preserves the original Startup Growth from Zero - Validate Launch and Scale case context, then transfers its decision method to AI-Powered Market Research: Find Profitable Opportunities.

Complete Research Question and Evidence Plan and Ideal Customer Profile Worksheet. Choose research methods that can answer a specific decision question within realistic constraints. Define the customers you can serve well and specify observable qualification and exclusion 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 3: Build the Minimum Viable Offer and Positioning9:55
Work through the practical lesson: Build the Minimum Viable Offer and Positioning. This applied study preserves the original Startup Growth from Zero - Validate Launch and Scale case context, then transfers its decision method to AI-Powered Market Research: Find Profitable Opportunities.

Complete Positioning Statement Builder and Offer Design Canvas. Connect a defined audience and important problem to a credible differentiated value proposition. Build an offer that combines a valuable outcome, a credible delivery mechanism, and clear boundaries.

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 Acquire Customers and Learn Quickly9:57
Work through the practical lesson: Launch Acquire Customers and Learn Quickly. This applied study preserves the original Startup Growth from Zero - Validate Launch and Scale case context, then transfers its decision method to AI-Powered Market Research: Find Profitable Opportunities.

Complete Product Launch Execution Plan and Advertising Campaign Brief. Coordinate a launch around a target audience, a clear offer, readiness, and measurable customer response. Connect campaign objectives, audience, creative, offer, and measurement before buying traffic.

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: Retention Economics and the Scale Decision9:53
Work through the practical lesson: Retention Economics and the Scale Decision. This applied study preserves the original Startup Growth from Zero - Validate Launch and Scale case context, then transfers its decision method to AI-Powered Market Research: Find Profitable Opportunities.

Complete Measurement and Learning Plan and Acquisition Economics Worksheet. Select a small set of defined measures and use them to make decisions rather than report activity. Calculate customer acquisition economics using consistent definitions and explicit assumptions.

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: 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-Powered Market Research: Find Profitable Opportunities.

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.

Requirements

No coding experience is required.

Description

This course contains the use of artificial intelligence.

AI-Powered Market Research: Find Profitable Opportunities gives professionals a structured, evidence-based system for turning research and 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 evidence, evaluate strategic options, execute with discipline, protect trust, and connect activity to financial and operational results.

The course is designed for marketers, founders, product leaders, consultants, analysts, and researchers. 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:

Marketers, founders, product leaders, consultants, analysts, and researchers.

AI-Powered Market Research: Find Profitable Opportunities

What you'll learn

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Course content

Build the Complete Market Research System5 lectures • 49min

Applied Workshop Lab: Evidence, Experiments and Execution6 lectures • 1hr

Requirements

Description

Who this course is for: