Kellogg School of Management

AI-Driven Product Strategy

Kellogg School of Management

Online

About Programme

As artificial intelligence (AI) reshapes industries and raises customer expectations, organizations demand greater speed, improved precision and sharper decision making from their product teams. Yet, many professionals remain caught in cycles of reactive execution, fragmented alignment and process-heavy routines. Now, the role of product management calls for the ability to shape strategy, influence cross-functional teams, make decisions that drive measurable outcomes and leverage AI daily.

The eight-week AI-Driven Product Strategy online program empowers participants to lead the entire product life cycle, from vision and discovery to go-to-market (GTM) strategy and growth. It delivers an AI-forward curriculum that blends rigor with applied learning. This will help professionals strengthen their product strategy, planning and roadmapping skills to turn efforts into business outcomes.

Throughout the program, participants actively use generative AI (gen AI) tools and signature frameworks to tackle product challenges, turn insights into action and lead high-stakes conversations with confidence. By the end of the program, participants gain the strategic clarity and AI-driven confidence needed to lead product development and drive innovation.

Earn an Advanced Certificate in AI and Product Strategy .

Professor Mohanbir Sawhney

Programme Content

Module 1: Product Vision, Strategy and Leadership

Crafting product vision and mission
Product strategy frameworks: Vision, Values, Methods, Obstacles and Measures (V2MOM) and the Product Strategy Canvas
Product manager roles and responsibilities
Inbound vs. outbound product management (PM vs. PMM)
Excellence in product management: Skills and knowledge
Product management in an AI-powered world

Module 2: Opportunity Analysis and Product Discovery

Defining product opportunities
Sourcing and identifying product opportunities
Using the Jobs-To-Be-Done (JTBD) framework to structure product opportunities
Assessing market opportunities — the Real-Win-Worth (RWW) model
Building and presenting an opportunity brief
Using hypothesis-driven product discovery
Developing the minimum viable product (MVP)
Using gen AI for opportunity sourcing, customer insights and market analysis

Module 3: Product Design, User Experience and Agile Development

Gen AI for persona creation, wireframing, prototyping and usability testing
User-centric product design principles
MVP development
Agile development methodologies: Scrum and Kanban
User stories, epics and themes
Writing agile product requirements
Rapid prototyping and usability testing

Module 4: Product Planning and Roadmapping

Strategic product roadmapping
AI application for prioritization and trade-off decisions
Product portfolio management
Communication of roadmaps to stakeholders
Metrics for roadmap success
Adaptation to market changes

Module 5: Go-To-Market Strategy and Product-Led Growth

Elements of a GTM plan
PLG fundamentals
Building for self-service growth
Strategies for user activation
Leveraging AI for personalization and predictive models
Growth loops and viral mechanics
Using AI for virality analysis and growth modeling
GTM metrics and KPIs

Module 6: Product Pricing, Packaging and Monetization

Pricing models for products
Packaging and customer segmentation
SaaS revenue models and monetization
Metrics for pricing success
AI-driven analytics for customer lifetime value optimization
Competitive pricing intelligence
Experimentation, pricing optimization and AI-powered pricing experiments

Module 7: Managing Product Evolution and Growth

Product evolution and feature prioritization
Customer acquisition and development strategies
Life cycle management and sunsetting
Growth hacking and experiments
AI tools for product analytics, growth hacking and life cycle management

Module 8: Communication and Influence Skills for Product Managers

Evaluate strategies for influencing stakeholders through effective communication
Identify key concepts related to product communication, influence and stakeholder alignment
Develop a stakeholder influence strategy using communication frameworks and AI-supported messaging

Programme Audience

Senior product leaders seeking to formalize experience-based success with portfolio and monetization strategy, gen AI capabilities, board-facing strategy and multi-product execution
Mid-Senior product managers product managers looking to shift from reactive execution to strategic product leadership by building business fluency, applying AI with clarity and influencing product direction
Professionals from product marketing, data and analytics, engineers and consultants aiming to pivot into formal product or strategy roles by gaining end-to-end life cycle knowledge, structured product thinking and an AI-first mindset
Technical professionals looking to bridge the gap between engineering expertise and strategic product management across the life cycle
Aspiring product leaders focused on driving growth with data-backed decisions, AI-driven insights and proven frameworks

Programme Benefits

Design a strategic product vision and roadmap that aligns with corporate goals and motivates organizational alignment
Analyze product opportunities using frameworks and AI-supported insights to inform strategic decisions
Build and deliver monetization and GTM strategies that drive product-led growth
Apply proven practices in product development, pricing and growth to deliver long-term business value
Evaluate communication and influence strategies to strengthen stakeholder alignment and decision making

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Prashansa Uttam

Programme Advisor

+91 9403890085[email protected]Mon – Fri, 9am – 5pm IST

Kellogg School of Management

Executive Education Office

NA
315.502.3308
mailto:learner.successemeritus.org
https://www.kellogg.northwestern.edu
Evanston, USA

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AI-Driven Product Strategy | Kellogg School of Management