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The lean methodology – not just for startups

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The elements of the learning cycle, compilation and how it can be used to drive digital product development to success are key aspects of build measure learning that we need to understand in order to continue talking about this methodology more broadly. Ultimately, your product is more likely to succeed because you’re not flying blind during the creation process – in fact, the opposite is true.
What is the Lean approach?
The Build-Measure-Learn Cycle will not be explained without understanding the term lean. Since the 2008 book The Lean Startup, Eric Ries’ lean startup methodology has been one of the most popular approaches to creating digital products. The key is to adopt a specific, user-centric mindset and approach to digital product development. The lean startup model therefore emphasises adapting a company’s strategy to changing conditions. This modification also allows to minimize costs, thanks to the fact that the entrepreneur reduces, for example, the purchase of goods, technologies, which later as a result of the changed situation were not used, wasted. The lean startup methodology provides a framework for creating certainty: clear goals, specific hypotheses, targeted testing and feedback – so you can be sure of the next step. It is characterised by dynamic implementation. The whole exercise makes developing a digital product less risky.
A typical Build-Measure-Learn Cycle process
The Build-Measure-Learn Cycle is a great alternative to the traditional approach we’ve known for years. Instead, you quickly but thoroughly test each key element of your future product, making sure each step or phase is necessary and working before moving on. First of all, a plan is the most important thing in this cycle. Is it linked to the potential function of the product? Or the reaction of a potential user/customer? Maybe it is about pricing or distribution? Of course, there are many aspects of any product that can be ‘built’ and tested. Pick one and then decide what data you want to collect and what metrics you want to use to do so. The next step will be to build – with your goals in mind, it’s time to build the minimum viable product, the smallest and simplest version possible that still allows you to test your hypothesis. The MVP is then tested and trialled with a select group of users.


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