Professional Scrum Product Backlog Management Skills (PSPBM) Certification Training

About Course

In our 1-day, self-paced, skill-building Professional Scrum Product Backlog Management Skills™ (PSPBM) training course, you’ll gain hands-on techniques to refine, order, and optimize your backlog. Through interactive lessons and practical exercises, you’ll learn how to– clearly express the product goal and backlog priorities, use refinement techniques like decomposition & slicing, ensure transparency and alignment across stakeholders, and simplify complex backlogs to improve delivery and business value.

This training is perfect for Scrum Masters, Product Owners, and Agile practitioners who want to strengthen their backlog management skills. Complete the course, validate your knowledge, and earn the PSPBM certification to showcase your expertise in effective backlog management.

What Will You Learn?

Learn techniques to create, refine, and prioritize your Product Backlog
Explore ways to make your backlog clear and transparent for your team
Discover ways to communicate with stakeholders and understand their needs
Capture and translate stakeholder expectations into well-defined backlog items
Understand how data-driven decisions and continuous learning can give you a competitive edge
Get insights on how AI can simplify backlog refinement, prioritization, and decision-making

Material Includes

All participants completing the Professional Scrum Product Backlog Management Skills course will receive a password to attempt the Professional Scrum Product Backlog Management Skills Certification.

Course Curriculum

Introduction to the Course
This section sets the stage by introducing you to the structure and objectives of the training. You will gain an overview of the key skills required for effective Product Backlog management, ensuring you are prepared to maximize your learning.

The Product Backlog
This module will introduce you to the fundamentals of the Product Backlog and its critical role in Agile development. You will learn what a Product Backlog is and the importance of defining a clear Product Goal. Also, explore the responsibilities of a Product Owner in managing and maintaining the backlog, balancing stakeholder expectations, and team capacity. Additionally, the concept of empiricism will be discussed, highlighting how an evidence-based, iterative approach to backlog management can drive continuous

Forming the Product Backlog
In this module, you will learn how to establish a well-structured Product Backlog that aligns with business goals. You will explore the importance of defining effective product goals, ensuring that backlog items are meaningful and valuable. The session covers techniques for crafting well-formed Product Backlog items, using standardized attributes and templates to maintain clarity. Additionally, you will practice critiquing a Product Backlog to enhance its quality and usability.

Managing the product Backlog
This section dives into the ongoing management of the Product Backlog and how to refine and prioritize items efficiently. You will explore techniques for breaking down backlog items into smaller, manageable pieces and learn how to size them appropriately for better planning. The module also covers best practices for ordering the Product Backlog to maximize value delivery, ensuring teams can work effectively with a clear and structured backlog.

Collaborating with Your Team and Stakeholders
This module focuses on techniques for engaging teams and stakeholders. You will learn how to facilitate meaningful discussions with stakeholders, ensuring their needs are accurately captured in the backlog. You will also explore methods for increasing transparency in backlog management, helping teams stay aligned on priorities. Additionally, this section addresses the challenges of unmanageable backlogs and how to bring order to chaotic backlog situations.

Leveraging AI
With advancements in technology, AI is becoming a powerful tool in backlog management. This module introduces you to the potential of AI-driven backlog management, demonstrating how AI can assist in backlog refinement, prioritization, and stakeholder communication. You will gain an understanding of AI-powered techniques that enhance efficiency and decision-making.