Abstract: Lean Startup Practices are becoming a mainstay for emerging businesses and existing enterprises looking to ensure that they solve the right problems for their customers. Explore the common mistakes made when implementing scientific discovery practices. Identify assumptions and build concrete experiments around falsifiable hypotheses that produce data to make informed decisions about where to take your solution next. Whether you are launching a MVP or iterating on a legacy product, you will learn how to avoid the mistakes that can take you down the path of wasted time, money, and energy.
Learning Outcomes: - Understand the common mistakes with Lean Startup implementation and how to fix them
- How to use an experiment canvas to document assumptions
- How to write an experiment that can be concretely validated or invalidated
- How to define and track metrics that drive actionable next steps
