The Celebration Grid. A framework for learning.
Let's break down the Celebration Grid and find out how it can help you to celebrate and set up experiments.
Here's the script for the above video.
Let’s take a closer look at the celebration grid, where should we focus our celebrations, what behavior do we want to encourage in our team?
Here are the areas where we can fail: when we make mistakes, when our experiments don’t work out and when some of our practices are no longer suitable.
But of course, we can succeed in the same areas – sometimes we make mistakes and they lead to unexpected results or improvements; we try something new and it works, so our experiments can lead to success; and most of our established practices will lead to success, that’s why we come back to them.
So how about, instead of thinking about when we should celebrate failure or when we should celebrate success, why don’t we also celebrate learning? After all, learning is continuous (or should be) and it can support all our work. So how do we find the best times to learn?
Let’s face it, we don’t learn much when we just repeat good practices. They’re important to continue succeeding, but they don’t help us evolve.
Although, in some cases our good practices have unexpected bad results –, like when external circumstances change. In this case, realizing that good practices are starting to lead to failure, can provide us with an opportunity to learn.
Making the same mistakes over and over again also doesn’t make any sense. We might learn from our mistakes once, but after that…
Although sometimes, if we’re lucky, our mistakes lead to surprises – and surprises make us pay attention and learn. (Pause) So we can see the best times to learn from our success and from our failure. How about that middle area in the celebration grid?
Learning involves making mistakes. It involves stepping into the unknown, trying things out… So, why not frame our learning opportunities as experiments?
According to Donald G Reinesten, a thought leader in product development, systems learn most when failure rates are around 50 percent. In other words, when your experiments have a good chance of succeeding…
…and a good chance of failing, they generate the most information for you to learn from.
We learn most from those experiences we’ve never had before.
Running experiments increases the behaviors we should celebrate – it gives us room to celebrate failure – while we are learning from it.