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AI-driven Agile Product Management

Overview

2 days

This AI-driven Agile Product Management training empowers Product Managers and Product Owners to enhance their pivotal roles in the Agile development cycle. Participants will explore how AI can help shape product vision, refine backlog management, elevate user experience design, and much more. The workshop focuses on integrating AI to boost efficiency and innovation.

Topics Covered

  • Introduction to Agile, Scrum, and AI basics of Agile methodologies, Scrum framework, and AI technologies that support Agile practices.
  • Product Owner and Product Manager roles & responsibilities – common patterns in PO vs. PM roles and how AI can augment these roles.
  • Design Thinking – what is Design Thinking and the double diamond process.
  • Crafting a product vision with AI insights – AI-driven market and consumer sentiment analyses to create a more effective product vision and strategy.
  • Personas and empathy mapping leveraging AI to analyze customer interviews, create detailed personas, perform empathy mapping, and gather feedback through AI simulations.
  • Adopting an incremental interactive approach – the preferred method for building products incrementally and iteratively to maximize value and flexibility.
  • Continuous discovery and transparency of the product discovery life cycle  common steps in the product discovery life cycle, epic/feature Kanbans for visibility.
  • Product Backlog – the basic principles of effective backlog management.
  • Writing epics and features – leveraging AI to craft impactful Epics and Features that align with user needs and business goals.
  • User Story Mapping Breaking down large features into MVPs/MMFs using User Story Mapping and AI tools to refine and prioritize effectively.
  • Writing user stories  enhancing user story writing and acceptance criteria via AI.
  • Story splitting common splitting patterns, leveraging AI to split real stories.
  • Prioritizing prioritizing large items (features/epics) via WSJF and prioritizing user stories.
  • Roadmapping considerations and best practices for effective roadmapping and release planning.
  • Enhancing UX with AI leveraging AI to predict user behavior and automate A/B testing to refine user experiences.
  • Visibility and KPIs for a data-driven approach closing the feedback loop of value, commonly used KPIsE

Learning Goals

  • Understand the roles of Product Owner and Product Manager: working in an Agile environment enhanced by AI tools.
  • AI-Informed Strategy: Develop product vision and strategy leveraging AI insights and user empathy.
  • AI-Augmented Backlog Management: Increasing the efficiency and practicing writing and decomposing Epics Features and Stories using AI.
  • Data-Driven Improvement: Adopt AI for UX design, prioritization, roadmapping, and tracking KPIs for ongoing enhancement

Prerequisites

Basic knowledge of Agile and PO/PM roles.

Audience

  • Product Managers, Product Line Managers, Product Owners, Business Owners, Business Analysts, R&D Managers, Team Leaders and System Architects. 

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