Somewhere along the way, agile implementations have gotten overblown and unwieldy. Managers and leaders look at all the models and frameworks and think agile adoption is too confusing or not worth the effort. To communicate what agile truly means, we have to simplify the message by getting to the heart of agile: collaborate, deliver, reflect, and improve.
The term minimum viable product, or MVP, has come to be misunderstood and misused in many organizations. It doesn’t mean you should be releasing half-baked, barely feasible software. Instead, you should be thinking of your product’s capabilities as a Specifically Marketable, Useful, Releasable Feature Set—or SMURFS!
Agile and DevOps teams, which emphasize continuous improvement, can benefit greatly from effective retrospectives. However, retrospectives can get monotonous, and that’s when they become ineffective. Using gamification in your retrospectives brings a completely different dimension of thinking—and even makes the process fun.
The definition of done is much more than just a checklist for completeness—it can be a mechanism for determining where your product increment can be more complete by the end of your sprint. By using a discussion board with quadrants where you can sort sprint items, you can challenge yourself to see whether a task could be moved earlier in the lifecycle.
Science is the building and organizing of knowledge into testable explanations and predictions about the world; lean is an approach which recognizes and leverages many scientific discoveries to enable faster flow, higher value, and greater capability. When thinking about opportunities for continuous improvement, science and lean should go hand in hand. Karl Scotland explores some of the science behind lean-from mathematics to neuroscience-in order to explain why and predict how various practices can have a positive impact on the way we work. Gain a deeper understanding of both the science of lean and how to take a scientific approach to learning in order to reap the benefits of paying attention to people, process, and economics. Leave with richer insights into why and how lean approaches work, and the ability to apply the science-and a scientific approach-to your own teams and organizations.