Before investing large sums and amounts of time into new ideas, it is beneficial to prove first that there is indeed a demand in the market. Experimentation is a way to validate the likelihood of success of a new product or service resulting from new ideas. Investors are scarce and demand a reduced risk of failure of their investments. This holds true for large companies, as well as for small startups. This paper introduces a practical extension of the original Lean Startup Model, by distinguishing 4 sequential phases in experimentation. Furthermore, it adds an enrichment to the original model. For example, by overlaying specific methods, and by adding implementation practices. These additions to the original Lean Startup model provide practical handles for direct implementation, with the aim to prevent bad (or overly expensive) investments. The goal of this paper is to unleash the full power of the Lean Startup method, by translating the original model to concrete and practical steps. Using the steps and practices of the model introduced in this paper, helps you to reduce the risk of failure directly. It serves as a practical toolbox that suggests tools for the different phases of experiments and connects it to other relevant and already proven methods and techniques.