Description

Imagine facing colossal challenges and complex problems and not knowing where or how to start solving them. In this episode, we wrestle with the complexities of problem-solving within Agile organizations, particularly when adopting new methodologies at scale. We dissect various problem management strategies - from the well-established ITIL to the Lean and A3 methods- providing you with a toolkit for identifying root causes and understanding the factors contributing to your problems.

We delve into the intricacies of problem management within a microservices environment. We discuss the power of predictive problem management and the tools you can leverage to solve problems. We also explore the realm of complex systems and the strategies that can help identify probable causes of problems, specifically focusing on the Safety 1 and Safety 2 models. All this is aimed at equipping you and your teams with a systematic approach to problem-solving, reducing chances of catastrophic failure through proper service contracts, smaller batches, and fast releases. 

This week's takeaways:

• Problems are ubiquitous: Problems exist everywhere, but organizations often lack a formal approach to addressing them.
• Take the time to understand problems: Instead of reacting to problems instinctively, organizations should create a space for thoughtful, data-driven problem-solving. 
• Establish a common understanding of problems: Having a common agreement and language within the organization is crucial regarding what constitutes a problem. 

As we navigate these complex topics, we ensure that you come away with a deeper understanding and practical solutions you can implement in your organization. Tune in! Be sure to listen to Definitely Maybe Agile on your favorite platform, and remember to subscribe. For additional resources and to join the conversation, contact us at feedback@definitelymaybeagile.com with your thoughts, questions, or suggestions for future episodes. Stay tuned for more exciting content!