Introduction to the product management role, responsibilities, and lifecycle.

Overview of Product and Customer Discovery to understand market needs.

Essential skills: analytical thinking, leadership, collaboration.

Career pathways and opportunities in product management.

Principles of Design Thinking and its application in user-centric problem solving.

Empathy mapping and understanding user journeys.

Overview of the Product Life Cycle Management Process—introduction, growth, maturity, decline.

Strategies for managing products through their lifecycle stages.

Identifying Success Metrics and KPIs for tracking product performance.

Understanding key metrics for growth, engagement, retention, and revenue.

Hands-on with tools like Google Analytics, Mixpanel, and Amplitude.

Practical application: setting up a basic analytics dashboard.

Introduction to wireframing, creating sitemaps, and understanding color theory.

Overview of tools like Figma and Adobe XD for basic design

Creating a wireframe and sitemap for a mock product.

Hands-on exercise: building a simple product design in Figma.

Conducting customer interviews for deeper insights into needs and pain points.

Root Cause Analysis techniques to identify underlying customer problems.

Using Opportunity Solution Trees to frame market problems and map potential solutions.

Practical exercise: creating an Opportunity Solution Tree based on customer interviews.

Crafting a product vision aligned with business goals and customer needs.

Setting clear objectives to shape product strategy.

Working with stakeholders to gather and prioritize product requirements.

Key elements of Product Requirement documents and effective collaboration strategies.

Creating an agile product roadmap, balancing long-term vision with agile flexibility.

Techniques for Product Prioritization, including frameworks like RICE and MoSCoW.

Adapting roadmaps based on feedback and evolving product requirements.

Practical exercise: building a roadmap and prioritizing features.

Leveraging data to guide product decisions and optimize features.

Advanced product analytics techniques and cohort analysis.

Translating analytics into actionable insights to improve user experience.

Case study: analyzing a product’s data to uncover optimization opportunities.