The Applying Professional Kanban course is for anyone who wants to improve their ability to deliver value and be more effective. Kanban is fast becoming the modern way to manage an organization’s delivery of customer value. In today’s always-on environment, you need a clear set of practices that don’t get in the way of your ability to continuously deliver but that provide enough structure to keep everyone aligned and focused. This two-day course will give you an in-depth introduction to improving your team’s effectiveness by applying Kanban flow principles.
The Applying Metrics for Predictability course is for anyone who has been asked to answer “When Will It Be Done?” or otherwise had to give an estimate for a User Story, Epic, Feature, Project, and/or Release. This includes executives, managers, or team members who want better understanding and transparency into the health and performance of their process. Anyone who currently uses Agile or Lean Methodologies and is interested in how to improve the overall predictability and efficiency of their current practices will benefit from Applying Metrics for Predictability.
The Applying Scaled Portfolio Kanban course is for anyone looking to bring the benefits of Kanban to every level of the organization. If you are looking to influence your organization to be more efficient, effective, and predictable, this course will provide you with the tools to achieve those goals. Typical attendees include Heads of Departments, Agile Coaches, Project Managers, Development Leaders, Product Owners, Scrum Masters, and Product Managers.
The Applying Flow Metrics for Scrum course is for anyone who wants to leverage data to improve their Scrum practices. This includes developers, testers, Scrum Masters, Product Owners, or leaders who want better transparency into the health and performance of their team. Applying Flow Metrics for Scrum will teach you not only how to identify how much work to plan but also how to accurately forecast when individual work will be done in a Scrum Team’s context.
