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Business
Learn about Lean Startup
Every product vision contains many assumptions. The Lean Startup methodology gives us a framework for applying a "build measure learn" approach to validating our assumptions through designing experiments and analysing the resulting data.Moyenne
20 heures
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Lean Startup is an innovative approach to maximizing learning, and works by validating hypotheses in the shortest possible time horizon. Creating new products or changing an existing business model, often in conditions of high uncertainty, requires an approach that lets you turn your assumptions into data that can validate (or refute) those assumptions. Lean Startup provides a structure for this approach.
In this course, you will learn how to state your assumptions as hypotheses, design experiments to validate those hypothesis, and apply the build-measure-learn steps of the Lean Cycle to generate data that you can analyze.
We will explore cohort analysis, A/B testing, feature audits, and 'pirate' metrics as we apply our Lean Startup methodology. We will also investigate Minimum Viable Products (MVPs) and we'll study three types of MVPs in this course
Objectifs pédagogiques
- Design a good lean experiment and explain the value of failing fast
Table des matières
- Partie 1
Learn the fundamental principles of Lean Startup
- Partie 2
Prioritize experiments, formulate hypothesis and implement the Lean Cycle
- Partie 3
See Lean Startup in practice
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